Flow Cytometry Specialist

🏢 Summary: Computer Systems Analyst position supporting biomedical research at NIH, focused on developing high-performance computing solutions, machine learning–based image analysis, and specialized software for experimental data processing and statistical analysis. The role involves building and maintaining scientific computing systems, automating data workflows, and collaborating with researchers to enhance data productivity and infrastructure. Candidates will contribute to advanced imaging analysis, numerical simulations, and data engineering in a research-driven environment. 🗂️ Requirements: Experience with high-performance computing environments, Proficiency in modern programming languages and code libraries, Experience with machine learning and deep learning methods, Experience in image analysis and experimental data processing, Ability to perform statistical analysis using standard statistical techniques, Experience developing customized software for scientific research, Ability to support and maintain scientific computer systems and infrastructure, Experience with data engineering pipelines and data science stacks, Ability to provide technical and project management support, Experience with quality assurance and validation processes 📃 Skills: Python, R, MachineLearning, DeepLearning, CNN, HPC, ImageAnalysis, StatisticalAnalysis, DataEngineering, Linux, MRI, ConfocalMicroscopy, SIM, FIB-SEM 🏢 Description: Axle is seeking a Computer Systems Analyst to support the National Institute on Aging (NIA) at the National Institutes of Health (NIH). Benefits We Offer: 100% Medical, Dental & Vision Coverage for Employees Paid Time Off and Paid Holidays 401K match up to 5% Educational Benefits for Career Growth Employee Referral Bonus Flexible Spending Accounts: Healthcare (FSA) Parking Reimbursement Account (PRK) Dependent Care Assistant Program (DCAP) Transportation Reimbursement Account (TRN) Position Information: The purpose of this position is to assist NIA Computer Systems Analyst and tasks to include but not limited to: Collaborate with staff to increase the productivity and efficiency of data analysis using high-performance computing Develop dedicated and efficient computer software using state-of-the-art computer science approaches, including modern programming languages and code libraries, machine learning, cross-platform programming, and high-performance computing, including: Automating data segmentation and data visualization Developing numerical model simulations and high-performance computing Performing/generating image analysis, including deep convolutional neural networks Detecting and analyzing subcellular signaling events Participate in research projects by creating specialized computer software to effectively and automatically analyze experimental data, including imaging data generated by different imaging techniques such as high-speed cameras, confocal microscopy, super-resolution SIM imaging, FIB-SEM imaging, MRI imaging as well as data generated by numerical model simulations Develop customized software to detect and measure specific structures and events of interest for statistical analysis and testing specific hypotheses Provides technical experience needed to perform analyses, processing and user support of various computer systems using standard statistical procedures and techniques: Provide project management guidance and assistance to specific projects and activities Provide statistical support to staff, including data analysis and the generation tools for researchers to use Interface with staff as needed to gather project requirements, develop project plan with web team, and help execute plan Support and maintain scientific computer systems including hardware, operating systems, and associated services in a high-performance computing environment Sets up and uses various computer systems and software packages: Collaborate with staff to increase the productivity and efficiency of data analysis using high-performance computing Perform statistical analysis of experimental data obtained at various time points Determine needs and provide IT support for computerized systems supporting activities Work with staff on the evolving infrastructure, data engineering pipeline, and data science stacks Compiles and manages data and assists with quality control: Perform quality assurance and quality control; troubleshoot issues with image analysis and quality Analyze results of the data that are collected during experimental studies; perform statistical analysis using statistical analysis software Produces various reports, graphs and figures for presentation: Prepare data and analysis for presentations and publication Prepare research data for presentation and manuscripts Interface with the statistical programming team to develop programming standards and assist the team with validation and change control documentation Deliverables: Work products and documents related to increasing the productivity/efficiency of data analysis using high-performance computing. - Ad-Hoc Work products and documents related to developing dedicated and efficient computer software using state-of-the-art computer science approaches, including modern programming languages and code libraries, machine learning, cross-platform programming, and high-performance computing. - Ad-Hoc Work products and documents related to automating data segmentation and data visualization; developing numerical model simulations and high-performance computing; performing/generating image analysis, including deep convolutional neural networks; detecting and analyzing subcellular signaling events. - Ad-Hoc Work products and documents related to creating specialized computer software to effectively and automatically analyze experimental data, including imaging data generated by different imaging techniques. - Ad-Hoc Work products and documents related to developing customized software to detect and measure specific structures and events of interest for statistical analysis and testing specific hypotheses. - Ad-Hoc Clean Equipment - Weekly Run Validation - Weekly Inspect Equipment - Weekly Meet with lab members to present updates - Weekly Salary Range: $90,000—$105,000 USD

🏢 Summary: The Bioinformatics Scientist role supports NIH research by independently designing and implementing advanced computational analyses for high-dimensional omics data. The position focuses on statistical genomics, machine learning, and multi-omics integration to generate biologically meaningful insights. The scientist develops scalable pipelines, custom software, and reproducible workflows while collaborating with interdisciplinary research teams. 🗂️ Requirements: Ph.D. in Bioinformatics, Computational Biology, Genomics, Data Science, Biostatistics, Computer Science, Biomedical Engineering or related quantitative field (Master’s with relevant experience acceptable), Minimum three years of relevant research experience, Experience in machine learning or advanced statistical modeling for high-dimensional biological data, Expertise in next-generation sequencing data analysis, Experience with multi-omics data integration, Proficiency in programming for bioinformatics analysis, Experience developing and maintaining analytical pipelines, Ability to work with large-scale datasets, Experience establishing reproducible workflows and documentation practices 📃 Skills: R, Python, MATLAB, Linux, Unix, Java, Shell, Perl, Bash, SAS, Git, Docker, Singularity, Apptainer, HPC, RNA-Seq, ChIP-Seq, miRNA-Seq, GWAS, Microarray, MachineLearning, DeepLearning, Multiomics, Statistics, Genomics, Transcriptomics, Epigenomics, Proteomics, DataVisualization, WorkflowManagement, Cloud 🏢 Description: Axle is seeking a Bioinformatics Scientist to support research activities at the National Institutes of Health (NIH) in Research Triangle Park, NC. Benefits We Offer: - 100% Medical, Dental & Vision Coverage for Employees - Paid Time Off and Paid Holidays - 401K match up to 5% - Educational Benefits for Career Growth - Employee Referral Bonus - Flexible Spending Accounts: - Healthcare (FSA) - Parking Reimbursement Account (PRK) - Dependent Care Assistant Program (DCAP) - Transportation Reimbursement Account (TRN) Position Information: This position independently provides bioinformatics and data science support to advance the institute's operational and research objectives. The role requires expertise in statistical genomics, machine learning, and scalable analysis and integration of high-dimensional omics data, applying AI-driven methods to generate biologically meaningful insights. Additional Qualifications: - Ph.D. preferred (or Master's) in Bioinformatics, Computational Biology, Genomics, Data Science, Biostatistics, Computer Science, Biomedical Engineering, or a closely related quantitative field - Three years of experience in a relevant discipline - Demonstrated training or experience in machine learning, artificial intelligence, or advanced statistical modeling applied to high-dimensional biological data Software: - R - Python - MATLAB - Linux - Unix - Java - Shell - PERL - Bash - SAS - HPC - Git - Docker / Singularity / Apptainer - Workflow management tools Core Technical Areas: - Next-generation sequencing data analysis (Bulk RNA-Sequencing, Single Cell RNA-Sequencing) - Genome-wide association studies - Microarray data analysis - Multi-omics analysis and integration - Pipeline development - Machine learning and deep learning - Representation learning for omics data - Cloud platforms - Reproducible research practices - Data visualization Deliverables and Responsibilities: - Design analytical strategies and resolve scientific or technical challenges - Analyze and interpret high-throughput biological data - Develop and maintain custom analytical software, scripts, and computational pipelines - Establish reproducible workflows and standard operating procedures (SOPs) - Optimize analytical pipelines for multi-omics datasets - Perform preprocessing, quality control, integration, clustering, and differential expression analysis of single-cell datasets - Conduct analyses on NextGen sequencing data including ChIP-Seq, RNA-Seq, miRNA-Seq and related platforms - Perform genomic platform analysis including expression, exon, tiling, and promoter arrays - Apply machine learning approaches to integrate large-scale, complex multi-omic data - Develop computational infrastructure resources for large and complex datasets - Provide statistical support and devise novel analytical methods - Prepare scientific reports, publication-quality figures, and manuscripts - Present findings at meetings, seminars, and conferences - Train staff and provide technical support for bioinformatics tools and pipelines - Collaborate with interdisciplinary teams to design experiments and interpret results - Maintain detailed documentation and reproducible data analysis practices

🏢 Summary: Software Engineer III role focused on building and scaling a cloud-based data platform for fleet-scale humanoid robotics, enabling ingestion, synchronization, and processing of multimodal robot data for analytics and ML training. The position involves developing distributed data pipelines, edge ingestion agents, and observability systems to support high-volume sensor, video, and telemetry data. This role emphasizes big data technologies, cloud infrastructure, and real-time data processing for robotics applications. 🗂️ Requirements: 3-5 years experience building and scaling cloud-based data platforms, Experience with AWS, GCP, or Azure, Proficiency in big data frameworks such as Spark, Kafka, Beam, or Flink, Familiarity with data formats like Parquet, Arrow, Iceberg, Avro, Protobuf, Experience with observability tools and implementing metrics, tracing, logging systems, Strong proficiency in Python, Proficiency in Java or Scala, Experience with microservices architecture, Experience handling unstructured and structured data integration 📃 Skills: Python, Java, Scala, Spark, Kafka, Beam, Flink, AWS, GCP, Azure, Parquet, Arrow, Iceberg, Avro, Protobuf, OpenTelemetry, Prometheus, MCAP, ROS, Kubernetes, C++, Rust, S3, Athena, Sagemaker, Fluentbit 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.About The Role Join the team building the data backbone for fleet-scale humanoid robotics. As a Software Engineer III on our Data Platform team, you will implement and scale the infrastructure required to ingest, process, and synchronize massive datasets from our robots. You will focus on the technical challenges of handling multimodal log data—ensuring that high-frequency sensor data, video feeds, and telemetry are perfectly aligned for playback and ML training. Key Responsibilities Data Ingestion: Design and implement scalable data pipelines for ingesting and processing telemetry, logs and sensor data from our fleet of robots and associated cloud software Multimodal Data Integration: Develop systems to handle complex multimodal logs, ensuring precise synchronization between video, audio, IMU, and joint-state data for downstream analysis and robot "black box" reconstruction/playback. Edge Data Agents: Contribute to the development of data ingestion agents running on-robot to manage high-volume data throughput in variable connectivity environments. Data Optimization: Implement and optimize data formats (e.g., MCAP, Parquet) specifically tuned for the storage and rapid querying of rich multimodal robotics recordings. Observability systems: Develop and maintain observability systems using tools like fluentbit, OpenTelemetry etc enabling real-time monitoring and analytics of fleet operations. Distributed Processing: Use Spark, Kafka, or Flink to transform raw robot data into structured datasets ready for business intelligence and long-horizon fleet analytics. Stakeholder Collaboration: Work closely with AI and Hardware teams to ensure data tools meet the needs of those training the next generation of humanoid models. Cloud Platform: Build and optimize tools for internal stakeholders for business intelligence and long-horizon fleet analytics and forecasting using existing tools like AWS S3, Athena, Sagemaker etc. Required Qualifications 3-5 years of experience building and scaling cloud-based data platforms(AWS, GCP, or Azure). Big Data Tech: Proficient in big data frameworks like Spark, Kafka, Beam, Flink etc Data Formats: Familiarity with OSS data formats like Parquet, Arrow, Iceberg and protocols like Avro and Protobuf. Experience with observability tools(e.g. OpenTelemetry, Prometheus etc) and implementing metrics, tracing and logging systems Strong proficiency in Python and at least one JVM language (Java or Scala), with experience in microservices. Proven experience handling diverse data types—specifically combining unstructured data (logs/video) with structured telemetry Bonus Qualifications Robotics/AV Background: Experience with robot-specific data formats (MCAP, ROS bags) and visualization tools like Foxglove or RVIZ. Sensor Fusion: Understanding of time-sync challenges in multimodal data (e.g., PTP/NTP synchronization across sensors). Infrastructure: Experience with Kubernetes and containerized deployment patterns. Systems Programming: Familiarity with C++ or Rust for high-performance data handling at the edge. IoT Knowledge: Experience with edge computing, Greengrass, or managing data from embedded devices. This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.Anticipated Salary Range$144,000—$224,000 USDIn addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now: https://grnh.se/b444bbd04us

🏢 Summary: Remote XSLT/.NET Developer role for a life sciences client focused on production support, migration from XSLT to .NET, and CI/CD integration within Quote Management/CLM systems. The position involves collaboration with a US-based team, troubleshooting complex production issues, and providing technical mentoring. Long-term cooperation with flexible working hours overlapping with the US timezone is offered. 🗂️ Requirements: Strong practical experience with XSLT, Strong practical experience with .NET, Experience integrating code with CI/CD pipelines, Ability to diagnose and resolve complex production issues independently, English proficiency for daily collaboration with US-based team, Availability to work with 4–5 hours overlap with US timezone 📃 Skills: XSLT, .NET, CI/CD, GitHub, Copilot, Claude, CLM 🏢 Description: Nasze projekty W Inżynieryjnym Centrum Kompetencji realizujemy usługi i projekty m.in . dla sektora motoryzacyjnego, kolejowego oraz Oil & Gas. Wyspecjalizowane zespoły inżynierów pracują u nas w ramach grup projektowych oraz grup kompetencyjnych, których działaniami zarządzamy. Realizujemy również programy szkoleniowe i certyfikacyjne w ramach podnoszenia kompetencji inżynieryjnych naszych konsultantów. Stanowisko Obecnie dla naszego klienta z branży life sciences poszukujemy kandydata/kandydatki na stanowisko XSLT/.NET Developer (he/she). Dodatkowe informacje Tryb pracy: w pełni zdalnie. Godziny pracy: 10:00–18:00 lub 11:00–19:00 Wymagane 4–5 godzin nakładania się ze strefą czasową USA (Indianapolis, GMT-6), co umożliwia bieżącą współpracę z zespołem w Stanach Zjednoczonych. Oferowane wynagrodzenie Wynagrodzenie: od 120 do 150 netto/godzina, w zależności od posiadanego doświadczenia i kompetencji. Sprawdzisz się w tej roli, jeżeli: masz silne, praktyczne doświadczenie w pracy z XSLT oraz .NET, masz doświadczenie w integracji kodu z pipeline'ami CI/CD, potrafisz samodzielnie diagnozować i rozwiązywać złożone problemy techniczne w środowisku produkcyjnym, swobodnie komunikujesz się w języku angielskim (bieżąca współpraca z zespołem w USA). Mile widziane: znajomość narzędzi programistycznych wspieranych przez AI (np. GitHub Copilot, Claude Code), doświadczenie z systemami klasy Quote Management / CLM (Contract Lifecycle Management). Zadania, które na Ciebie czekają: rozwiązywanie zgłoszeń związanych z XSLT - bezpośrednia obsługa produkcyjnych problemów w XSLT przy jednoczesnym wspieraniu przejścia na nowe standardy, realizacja migracji - prowadzenie i wsparcie migracji z XSLT do .NET, w tym konfiguracja środowiska i wdrożenie, integracja z CI/CD - włączanie kodu (również generowanego z pomocą AI) do pipeline'ów CI/CD, z zapewnieniem bezpiecznego i efektywnego wdrażania w ramach systemu Quote Management, obsługa w godzinach amerykańskich - zarządzanie i troubleshooting złożonych, specyficznych dla rynku US dokumentów wyjściowych, mentoring techniczny - pełnienie roli technicznego punktu kontaktowego w tematach związanych z generowaniem dokumentów oraz procesami Quote Management / CLM. Nasz proces rekrutacji Rozmowa z naszym Rekruterem -> Rozmowa z naszym Business Managerem -> Spotkanie z Klientem. W uzasadnionych przypadkach po rozmowie z Rekruterem wprowadzamy dodatkowy etap weryfikacji technicznej. Potrzebujesz więcej informacji? Skontaktuj się ze mną: marta.wojcik@astek.net Co oferujemy Długoterminowa współpraca Szkolenia techniczne, certyfikaty i podnoszenie kwalifikacji Mentoring Competence Center - bycie członkiem społeczności CC od pierwszego dnia pracy jest szansą na rozwijanie swoich umiejętności, uczestniczenie w różnych konferencjach oraz dzielenie się wiedzą i doświadczeniem z ludźmi, którzy na co dzień mierzą się z tymi samymi wyzwaniami Jasna ścieżka kariery Pakiet benefitów pracowniczych (Multisport, prywatna opieka medyczna, ubezpieczenie na życie) Przyjazną atmosferę pracy, imprezy integracyjne i spotkania team-buildingowe System rekomendacji Znasz kogoś, kogo zainteresuje ta oferta? Skorzystaj z naszego systemu rekomendacji i zgarnij bonus do 7000 zl! Link: https://astek.pl/system-rekomendacji/ Klauzula informacyjna Administratorem Pana/Pani danych osobowych jest ASTEK Polska sp. z o.o. z siedziba w Warszawie (00-133) przy Al. Jana Pawla II 22. Przysługuje Pani/Panu prawo do wglądu do danych, prawo żądania usunięcia danych itp. Szczegółowe informacje dotyczace przetwarzania znajdzie Pan/Pani TU: http://astek.pl/polityka-prywatnosci W dowolnym momencie przysługuje Panu/Pani prawo do wycofania wyrażonych zgód. W razie wycofania zgód prosimy o kontakt e-mailowy na adres privacy@astek.net lub pisemnie na adres administratora. Procedura dokonywania zgłoszeń przez sygnalistów w ASTEK Polska sp. z o. o. [Link] Nr ref AO233685

🏢 Summary: Revenue Cycle Management Manager role focused on overseeing billing, accounts receivable, cash flow, and financial operations for sponsor-funded clinical studies across a multi-site research network. The position includes leading AR recovery efforts, onboarding acquired sites onto eCTMS platforms, and improving finance workflows in a fast-growing healthcare research environment. Candidates should have strong finance operations experience, system migration expertise, and advanced Excel skills. 🗂️ Requirements: Bachelor's degree in Finance, Accounting, Business, or related field, 5–7+ years in accounts receivable, revenue cycle management, billing operations, or finance, Experience leading process improvement or owning finance operations, Experience with system implementations, migrations, or onboarding onto shared platforms, Experience driving AR recovery and reducing aged balances, Advanced Microsoft Excel proficiency, Ability to manage multiple priorities and stakeholders, Strong written and verbal communication skills, Experience working cross-functionally with finance and operations teams 📃 Skills: Excel, eCTMS, CRIO, Finance, Accounting, Billing, Reconciliation, Reporting, AR, RCM 🏢 Description: Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes. We built a leading performance-driven network of 100+ sites across the US, Europe, India, and Australia, conducting research directly in the communities where care is delivered across gastrointestinal, hepatology, obesity, and cardiology. By combining deep clinical trial expertise with cutting-edge AI, we connect sponsors' scientific ambitions with high-performing research teams that expedite and expand access to novel therapeutics for patients in need. The Manager, Revenue Cycle Management at Iterative Health has end-to-end ownership of revenue cycle management across sponsor-funded clinical studies and our research site network. This pivotal role is responsible for ensuring accurate billing, timely cash application, and proactive management of accounts receivable to optimize cash flow across a complex, multi-site clinical research environment. You will partner closely with cross-functional teams to drive financial performance while supporting the growth of our research network. You will also lead the onboarding of newly acquired sites onto our real-time eCTMS platform, standardizing processes and helping scale research finance operations as the organization grows. Success in this role requires a hands-on, detail-oriented leader who enjoys building efficient processes, solving operational challenges, and identifying smarter, more scalable ways of working. Where You'll Drive Impact - Lead, coach, and develop members of the revenue cycle team, establishing priorities, driving accountability, and supporting professional growth. - Own the end-to-end revenue cycle for sponsor-funded studies and internal sites, ensuring accurate tracking of balances and timely collections. - Serve as the point person leading financial migrations for newly acquired sites — transferring active studies from paper-based processes and other eCTMS platforms (such as CRIO) onto our real-time eCTMS. - Lead all AR recovery efforts for balances aging beyond 90 days, owning escalation strategy, resolution, and root-cause remediation. - Monitor and reconcile study-level balances and payment activity, proactively identifying discrepancies and driving resolution with internal and external stakeholders. - Analyze AR aging and payment trends, escalating risks and recommending actions to improve collections and cash flow. - Serve as a key point of contact for sponsors and CROs regarding billing inquiries, payment status, and outstanding balances. - Partner cross-functionally with Clinical Operations, Site Finance, and Accounting teams to clarify billing terms, milestone triggers, and contract deliverables. - Prepare AR aging schedules, financial summaries, and operational reports for finance leadership. - Lead internal audits, financial reviews, and documentation related to accounts receivable and billing activities. - Define and improve AR and RCM workflows, reporting, and system utilization to increase efficiency and financial transparency. - Own finance process documentation and drive adoption of best practices across the organization. - Performs related duties as requested. What You'll Bring - Bachelor's degree in Finance, Accounting, Business, or a related field; or equivalent practical experience. - 5–7+ years of experience in accounts receivable, revenue cycle management, billing operations, or finance within a complex or multi-entity environment, including experience owning a function or leading process improvement. - Demonstrated experience leading system implementations, migrations, or the onboarding of new sites/entities onto a shared platform. - Track record of driving AR recovery and reducing aged balances across a complex receivables portfolio. - Strong proficiency in Microsoft Excel, including data analysis, reconciliation, and financial reporting. - Demonstrated ability to manage multiple priorities and stakeholders while maintaining strong attention to detail and accuracy. - Strong written and verbal communication skills, with the ability to work effectively with internal stakeholders and external partners including sponsors and CROs. - Proven ability to independently own operational finance processes, lead cross-functional efforts, and resolve issues proactively. Preferred Qualifications - Hands-on experience with RealTime eCTMS, CRIO, or similar clinical trial management and billing systems. - Experience migrating or onboarding clinical research sites from paper-based or legacy eCTMS systems onto a unified platform. - Background in healthcare revenue cycle management, clinical research, or clinical trial finance. - Familiarity with clinical trial billing structures, sponsor contracts, and study-level financial reconciliation. - Experience working in high-growth, multi-site, or acquisitive organizations. How We Work - Collaborative and low-ego team environment - High ownership and accountability culture - Fast-paced and highly iterative growth environment - Open communication and continuous learning mindset - Mission-driven organization focused on improving patient outcomes - Comfortable navigating evolving business priorities and opportunities Benefits That Support You We believe great teams do their best work when they feel supported — professionally and personally. - Hybrid work environment with in-office collaboration two days per week in either our NYC or Boston office - Comprehensive medical, dental, and vision coverage, with up to 75% of premiums covered by Iterative Health - Mental health and wellness support through Spring Health - Health HSA or FSA options, and commuter FSA contributions supported by Iterative Health - Unlimited PTO, 12 company holidays, and a company-wide shutdown between Christmas and New Years - 401(k) program with a company match of up to 3% (up to $3,000 annually) - Weekly in-office lunch benefit every Tuesday - 100% company-paid short-term and long-term disability coverage - Annual wellness and professional development stipend to support your health and growth - And more!

🏢 Summary: Technical leadership role focused on designing, developing, and deploying object detection and tracking algorithms for humanoid robots operating in real-world logistics and manufacturing environments. The position owns the perception architecture and drives state-of-the-art machine learning models for multi-object detection, scene understanding, and 6-DoF pose estimation in production systems. It involves optimizing deep learning models for embedded hardware and collaborating cross-functionally to deliver scalable, high-quality perception software. 🗂️ Requirements: 5+ years deploying machine learning-based object detection on mobile robots, 2+ years in a technical leadership role, Experience with deep convolutional neural networks, Experience with multi-object tracking and data association, Experience with supervised learning and 6-DoF pose estimation, Strong foundation in linear algebra and numerical optimization, Knowledge of geometric concepts in computer vision, Proficiency with PyTorch, OpenCV, NumPy or similar libraries, Experience optimizing algorithms for CPU and GPU architectures, Experience with MLOps including data annotation, storage, evaluation, and deployment 📃 Skills: PyTorch, OpenCV, NumPy, CNN, Tracking, Pose, MLOps, GPU, CPU, LinearAlgebra, Optimization, Robotics, ComputerVision, MachineLearning, Embedded 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.Agility Robotics is deploying humanoid robots that are solving real-world challenges in logistics and manufacturing. Perceiving and understanding the world is critical to Digit's success in these applications. The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms. Responsibilities: As a technical lead, you will own the architecture and technical roadmap for object perception systems used by the robot in production Design, develop, and deploy machine learning algorithms for multi-object detection, scene understanding, and 6-DoF object pose estimation Evaluate and drive adoption of state-of-the-art perception models Promote best practices in architecture, design, and testing to deliver high-quality, scalable software Optimize deep neural networks and associated data processing to run efficiently on embedded systems Collaborate with navigation, manipulation and hardware teams to align perception capabilities with product requirements Requirements: 5+ years of experience deploying machine learning-based object detection algorithms on mobile robots with at least 2 years of experience in a technical leadership role Proficiency in related technical areas such as (but not limited to) deep convolutional neural networks, multi-object tracking, data association, supervised learning and pose estimation Strong mathematical fundamentals in linear algebra and numerical optimization and familiarity with core geometric concepts in computer vision Familiarity with common computer vision and machine learning libraries such as (but not limited to) PyTorch, OpenCV, NumPy, etc. Experience designing and optimizing algorithms for efficient execution across CPU and GPU architectures Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment Publications in your field (CVPR, ICCV, RSS, ICRA preferred) Bonus Qualifications: Experience using YOLO, Faster/Mask R-CNN Experience developing ML models for 3 or 6 dof pose estimation This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.Anticipated Salary Range$207,000—$323,000 USDIn addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now: https://grnh.se/b444bbd04us

🏢 Summary: Staff Machine Learning Engineer role focused on leading the design and deployment of object perception systems for humanoid robots in production environments. The position centers on developing and optimizing multi-object detection, tracking, and 6-DoF pose estimation algorithms for real-world logistics and manufacturing applications. It involves technical leadership, architecture ownership, and efficient deployment on embedded robotic platforms. 🗂️ Requirements: 5+ years deploying machine learning-based object detection algorithms on mobile robots, At least 2 years of experience in a technical leadership role, Strong expertise in deep convolutional neural networks, multi-object tracking, data association, supervised learning, and pose estimation, Strong mathematical foundations in linear algebra and numerical optimization, Familiarity with geometric concepts in computer vision, Experience designing and optimizing algorithms for CPU and GPU architectures, Experience with MLOps including data annotation, data storage, model evaluation, and model deployment, Familiarity with common computer vision and machine learning libraries, Publications in computer vision or robotics conferences (CVPR, ICCV, RSS, ICRA preferred) 📃 Skills: Python, PyTorch, OpenCV, NumPy, CUDA, CPU, GPU, YOLO, FasterRCNN, MaskRCNN, MLOps, CNN, SLAM 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.Agility Robotics is deploying humanoid robots that are solving real-world challenges in logistics and manufacturing. Perceiving and understanding the world is critical to Digit's success in these applications. The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms. Responsibilities: As a technical lead, you will own the architecture and technical roadmap for object perception systems used by the robot in production Design, develop, and deploy machine learning algorithms for multi-object detection, scene understanding, and 6-DoF object pose estimation Evaluate and drive adoption of state-of-the-art perception models Promote best practices in architecture, design, and testing to deliver high-quality, scalable software Optimize deep neural networks and associated data processing to run efficiently on embedded systems Collaborate with navigation, manipulation and hardware teams to align perception capabilities with product requirements Requirements: 5+ years of experience deploying machine learning-based object detection algorithms on mobile robots with at least 2 years of experience in a technical leadership role Proficiency in related technical areas such as (but not limited to) deep convolutional neural networks, multi-object tracking, data association, supervised learning and pose estimation Strong mathematical fundamentals in linear algebra and numerical optimization and familiarity with core geometric concepts in computer vision Familiarity with common computer vision and machine learning libraries such as (but not limited to) PyTorch, OpenCV, NumPy, etc. Experience designing and optimizing algorithms for efficient execution across CPU and GPU architectures Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment Publications in your field (CVPR, ICCV, RSS, ICRA preferred) Bonus Qualifications: Experience using YOLO, Faster/Mask R-CNN Experience developing ML models for 3 or 6 dof pose estimation This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.Anticipated Salary Range$207,000—$323,000 USDIn addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now: https://grnh.se/b444bbd04us

🏢 Summary: Senior Data Scientist role focused on designing and optimizing AML and fraud detection models to strengthen financial crime compliance and transaction monitoring. The position involves building advanced analytics solutions, coverage assessment frameworks, and automated reporting to support BSA/AML, OFAC, and regulatory requirements. It is a cross-functional, high-impact role combining machine learning, compliance expertise, and scalable data solutions. 🗂️ Requirements: 7+ years data science experience in financial services, 4+ years experience in fraud and financial crime compliance, Master's degree in quantitative field, Experience building transaction monitoring models in regulated environment, Strong knowledge of BSA/AML and SAR processes, Understanding of sanctions screening and model risk management, Proficiency in Python and SQL, Experience supporting regulatory examinations, U.S. work authorization under ITAR requirements 📃 Skills: Python, SQL, MachineLearning, Statistics, AML, BSA, OFAC, SAR, FraudDetection, TransactionMonitoring, Compliance, ModelRisk, DataAnalytics, Dashboards, Automation, RPA 🏢 Description: About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.ABOUT THE ROLE: We are looking for a Senior Data Scientist to join our Compliance Program and play a pivotal role in modernizing and strengthening our financial crime detection capabilities. You will architect, build, and optimize data-driven transaction monitoring models, coverage assessment frameworks, and advanced analytics solutions that directly support BSA/AML regulatory compliance, including but not limited to SAR filing, Customer Identification Program elements, and Enhanced Due Diligence measures. The role will also support the OFAC Sanctions, Fraud and overall risk prioritization across multiple products and jurisdictions. This is a high-impact, cross-functional role that blends advanced analytics, machine learning, and deep compliance domain expertise. You will work closely with Compliance, Engineering, Model Risk, Product, and external regulators to ensure our controls are robust, defensible, and scalable. RESPONSIBILITIES: Design, develop, and enhance AML and fraud models, rules, and heuristics using Python, SQL, and AI-enabled tooling; partner with the Compliance Machine Learning team on model reviews to improve detection rates and reduce false positives. Build and maintain interactive performance dashboards and automated reporting solutions that track key risk, productivity, and capacity metrics for senior leadership and regulators. Architect and implement enterprise-wide Transaction Monitoring Coverage Assessment frameworks, including standardized methodologies for gap identification, root-cause analysis, remediation planning, and ongoing sustainability monitoring. Lead complex data initiatives, including extraction of SAR filing metrics with product-level breakdowns and development of jurisdiction- and typology-specific SAR narrative generator tools. Embed data science best practices into product launches and feature rollouts to proactively identify and close monitoring coverage gaps. Support regulatory examinations (e.g., NYDFS Part 504) by preparing analytical documentation, third-party validation materials, and executive certification packages. Drive continuous improvement of compliance operations through automation, process optimization, and advanced analytics. BASIC QUALIFICATIONS: 7+ years of hands-on data science / advanced analytics experience in financial services, with at least 4 years focused on fraud and financial crime compliance. Master's degree (or higher) in Applied Mathematics, Statistics, Data Science, Actuarial Science, or a related quantitative field. Proven track record of building and optimizing transaction monitoring models, coverage frameworks, or compliance analytics programs in a regulated environment (fintech, bank, or payment company preferred). Deep understanding of BSA/AML regulations, suspicious activity reporting, customer due diligence, sanctions screening, and model risk management principles. Demonstrated ability to translate complex regulatory requirements into actionable data solutions and present findings to senior leadership and regulators. Certified Anti-Money Laundering Specialist (CAMS) or equivalent compliance certification is strongly preferred. PREFERRED SKILLS AND EXPERIENCE: Experience leading cross-functional initiatives involving Engineering, Legal, Product Compliance, and external consulting partners. Background in building internal case management systems, SAR automation tools, or RPA solutions. Familiarity with AML detection platforms. Track record of delivering measurable impact (e.g., reduced case volumes, improved detection of high-risk activity, increased operational efficiency). COMPENSATION AND BENEFITS: $148,000- $220,000 USD Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: The offer is for a Machine Learning Systems Engineer focused on optimizing large-scale distributed training systems for frontier models. The role centers on performance profiling, GPU kernel development, and improving throughput, scalability, and reliability of ML training pipelines. It directly supports accelerating model convergence through high-performance systems engineering. 🗂️ Requirements: Bachelor’s, Master’s or PhD in Computer Science, Computer Engineering or related field, Strong proficiency in Python, Extensive hands-on experience with PyTorch, Experience with distributed training using PyTorch Distributed, Experience optimizing ML model training and inference performance, Experience with GPU kernel development in CUDA or Triton, Ability to perform performance profiling and bottleneck analysis, Strong understanding of machine learning concepts and architectures 📃 Skills: Python, PyTorch, CUDA, Triton, Nsight, PyTorchDistributed, GPU, KernelFusion, Sharding, Tiling 🏢 Description: Mission Summary:We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models. What you'll be doing: Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time. Distributed Training: Optimize distributed training pipelines using frameworks such as PyTorch Distributed. Kernel Development: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads. Data Pipeline Engineering: Optimize robust data loading pipelines that maximize training throughput. What we're looking for: Education: Bachelor's, Master's degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline. Software Engineering: Strong proficiency in Python. ML Frameworks: Extensive hands-on experience with PyTorch. ML Knowledge: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes. Problem Solving: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.Salary Range$144,000—$192,000 USDMotional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

🏢 Summary: Staff Software Engineer role focused on building and improving AI/ML infrastructure and data platforms that power large-scale manufacturing marketplace products. The position involves cloud infrastructure design, ML platform engineering, distributed systems, and collaboration with AI leadership to deliver scalable and reliable solutions. 🗂️ Requirements: 5+ years of experience in software engineering, machine learning engineering, cloud architecture, or similar roles, Bachelor’s degree in Computer Science, AI, Machine Learning, or related field, Understanding of parallel and distributed computing, Experience with version control and continuous integration, Experience designing and deploying cloud infrastructure for data-intensive AI/ML applications, Experience with Infrastructure as Code using Terraform, Experience designing and implementing REST APIs, Strong programming skills in Python, Experience with multimodal data processing, Experience with AWS microservices, Experience with Docker and Kubernetes, US Citizen or Green Card holder 📃 Skills: Python, AWS, Terraform, REST, Docker, Kubernetes, SageMaker, IAM, Lambda, Cloudwatch, ECR, EKS, Kinesis, Git, CI/CD 🏢 Description: Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.We are looking for a Staff Software Engineer to join our core machine learning and data platform engineering organization. In this role, you will partner closely with the AI leadership team to improve and extend the foundational infrastructure leveraged by Xometry's AI/ML solutions, including the Instant Quoting Engine®, the Computational Geometry Service, and other data products powering the Xometry marketplace. This will be a high visibility role working hands-on to deliver a core aspect of the Xometry ecosystem. You will be given the opportunity to continually challenge yourself, drive innovation, have ownership of your work, and play a crucial role in the Xometry platform. How You'll Contribute: Operational Excellence: Guarantee the delivery of superior infrastructure and software, while aligning with the strategic business timelines Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance efficiency and effectiveness across the AI organization Code Review: You will do code review and mentor others within the organization regarding best practices in ML and Software Engineering Collaborative Strategy: Forge strong partnerships with product managers, engineers, and company leadership to promote a culture of open communication and integrated team dynamics What You'll Bring to Xometry: At least 5 years of experience in a fast-paced technical, problem-solving environment as a software engineer, machine learning engineer, cloud solutions architect, or similar A Bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is preferred and may substitute for some years of experience Demonstrable understanding of software engineering principles, including parallel and distributed computing, version control, reproducibility, and continuous integration Demonstrated experience designing and deploying cloud infrastructure (AWS preferred) to support data intensive applications, including AI/ML solutions, with considerations for scale, reliability and security Strong technical expertise. You will need to either have or demonstrate the ability ability to quickly build technical expertise in the following Infrastructure as Code (IaC), especially Terraform REST API design and implementation Object oriented and functional programming in Python Multimodal data processing (e.g., combining text, image, and 3D data) Experience with AWS microservices including SageMaker, Service Catalog, IAM, Lambda, Cloudwatch, ECR, EKS, and Kinesis Containerization technologies (Docker and Kubernetes) Demonstrated ability to interact and communicate effectively at all levels of the organization, from executives to product managers and a wide variety of stakeholders and contributors Experience in the manufacturing, supply chain, or similar industries is a plus Must be a US Citizen or Green Card holder (ITAR) The estimated base salary range for new hires into this role is $140,000- $230,000 annually + bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more. #LI-HybridXometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.