Application Engineer, AI/ML

🏢 Summary: Systems Software Engineer role focused on developing high-performance application software and firmware for in-line CT scanning systems, working with embedded Linux and hardware integrations to deliver production-grade data acquisition and image processing solutions. The position involves scaling embedded devices and architecting robust, configurable systems for manufacturing environments. 🗂️ Requirements: 3+ years experience in low-level high-performance software development, Proficiency in Python and C, Experience shipping applications on embedded Linux, Experience configuring udev systemd and kernel schedulers, Hands-on hardware integration using vendor SDKs, Proficiency with Python concurrency models asyncio threading multiprocessing, Strong knowledge of debuggers profilers and performance optimization, Ability to design integrate and test systems from datasheets, Bachelor's degree in Engineering or related field, Legal authorization to work in the United States 📃 Skills: Python, C, Linux, Embedded, udev, systemd, Kernel, asyncio, threading, multiprocessing, CUDA, Jetson, ComputerVision, MachineLearning, React 🏢 Description: About Lumafield: Lumafield was founded in 2019 to upgrade manufacturing. We are engineers with deep experience across the product development cycle, from initial ideas to shipping hardware, across industries and specializations, who became frustrated by the cost and complexity of modern manufacturing. So we decided to upgrade it. Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries. We started with industrial CT scanning, which for us was the most valuable but underutilized tool in the manufacturing toolbox, enabling us to rapidly inspect essential components non-destructively. We rebuilt the whole system, from X-ray capture, to computer vision analysis, to web-based collaboration, to the entire business model, making the most advanced manufacturing tech more accessible to every industry. Our company, like our platform, is designed for upgrades. We’re building for greater intelligence, autonomy, and speed. For deeper vision, operational excellence, and powerful insights. And then we'll upgrade it all again. Lumafield is headquartered in Cambridge, MA, and has an office in San Francisco, CA. About the role: As a Systems Software Engineer at Lumafield, you will work on the software that powers our next-generation, manufacturing in-line CT scanning products. You'll work on the bleeding edge of X-ray physics, high-speed detectors, image processing, and embedded systems. On a small team working on our newest hardware, you'll bring the skill to extract the highest quality data out of the system and achieve great outcomes for our customers. This role is ideal for candidates who are looking for an opportunity to scale a fleet of embedded devices from hundreds of units to thousands, and introduce production-grade capability to our systems. This role is located in Lumafield’s Cambridge, MA office. What You'll Do: Write performance edge application software to acquire, process, and stream radiograph data Write appliance firmware to maintain tight control loops for scanner peripherals Participate in code reviews, build up testing infrastructure, and help set a high standard for how the team can move fast and maintain high levels of quality. Ship production critical Linux-based applications Architect data acquisition solutions that balance configurability and customizability Collaborate closely with our product, research, hardware, and software development teams to understand requirements and architect solutions About You: 3+ years of experience writing low-level, high-performance software in Python and C; you not only write code, but also understand the performance impact on a specific system. Experience shipping applications with embedded Linux, including configuring core services such as udev, systemd, and kernel schedulers. 3+ years of startup experience – you know the trade-offs between shipping fast and perfecting a design. Hands-on experience integrating new hardware platforms by using vendor SDKs and manuals to write performant, maintainable driver integrations Mastery of software engineering fundamentals including debuggers, profilers, and evaluating trade-offs between different technology choices, and proficiency with Python’s built-in concurrency models (asyncio, threading, and multiprocessing) Able to design, integrate, and test systems by interpreting component and product datasheets. Bachelor's degree in Engineering or related field Bonus Points For: Experience building & shipping high performance hardware-accelerated image processing edge solutions using NVIDIA CUDA and/or Jetson platform Experience with classical computer vision techniques and machine learning CV algorithms Experience with shipping user-facing UIs written in React.js We are unable to sponsor or take over sponsorship of employment visas at this time. All applicants must be legally authorized to work in the United States without current or future sponsorship.Lumafield offers both competitive cash and equity compensation, as well as a health & wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company wide events and more! Lumafield is committed to building a team that represents a variety of backgrounds, perspectives, and skills, because the more inclusive we are, the better our work will be. Do you feel like your skills don’t meet every single requirement listed? We encourage you to apply anyway – If you’re excited about our technology, the opportunity, and are eager to learn more we’d love to hear from you! In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability, genetic information or veteran status. Reach out if you want to be a part of what we are building.

🏢 Summary: Hands-on Hardware Systems Engineer role owning end-to-end development of a new class of industrial CT scanners, spanning electrical architecture, embedded firmware, mechanical integration, and system validation. The position involves driving system architecture, building and integrating prototypes, and bringing hardware from concept through production. This is a highly interdisciplinary role focused on full-stack hardware development and system-level decision making. 🗂️ Requirements: Several years of hands-on experience developing complex electro-mechanical or robotics hardware, Experience taking hardware from concept to working prototype, Broad knowledge of mechanical design, electronics, and embedded programming, Ability to create simple MCAD and ECAD designs independently, Experience with system integration and hardware validation, Legal authorization to work in the United States 📃 Skills: MCAD, ECAD, Firmware, Embedded, PCB, Electronics, MotionControl, Sensors, Actuators, PowerSupplies, Drivers, X-ray, Robotics, Testing, Validation 🏢 Description: About Lumafield: Lumafield was founded in 2019 to upgrade manufacturing. We are engineers with deep experience across the product development cycle, from initial ideas to shipping hardware, across industries and specializations, who became frustrated by the cost and complexity of modern manufacturing. So we decided to upgrade it. Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries. We started with industrial CT scanning, which for us was the most valuable but underutilized tool in the manufacturing toolbox, enabling us to rapidly inspect essential components non-destructively. We rebuilt the whole system, from X-ray capture, to computer vision analysis, to web-based collaboration, to the entire business model, making the most advanced manufacturing tech more accessible to every industry. Our company, like our platform, is designed for upgrades. We’re building for greater intelligence, autonomy, and speed. For deeper vision, operational excellence, and powerful insights. And then we'll upgrade it all again. Lumafield is headquartered in Cambridge, MA, and has an office in San Francisco, CA. About the Role: The Hardware Group is looking for a Hardware Systems Engineer to join our San Francisco office and own the breadth of hardware development for a new class of industrial CT scanners. You’ll span electrical architecture and design, MCU firmware, and system integration, partnering tightly with other engineering and product teams to bring prototypes from concept through to shipping product. This is a hands-on, highly interdisciplinary role. You will be the hardware generalist closest to the product in San Francisco, collaborating with our team in Cambridge to carry system-level decisions all the way down to boards, firmware, and integrated prototypes. You’ll work alongside a small, fast-moving team that values curiosity, rigor, and system-level thinking. This is a full-time, in-person role based in our Cambridge, MA office. What you'll do: Drive the system architecture. Translate product-level requirements into a clear split across mechanical, electrical, and firmware, and make the buy-vs-build calls on the components that matter. Select and qualify the critical parts (motors, sensors, actuators, motion controllers, power supplies) and own the rationale and tradeoffs. Handle the light CAD yourself: MCAD for brackets, mounts, and fixtures; ECAD for embedded platforms and smaller PCBAs. Build the prototypes. Turn a wrench, pull cables, bring up boards, and bring a pile of parts up to a working integrated system. Write drivers for the peripherals you pull onto the product and land them in the appliance firmware and application stack with the Systems Software team. Own test and validation. Plan it, fixture it, run it, analyze the data, and push corrective actions back into the design. About you: Several years of hands-on experience taking a complex electro-mechanical or robotics product from blank page to working hardware. Breadth of knowledge in mechanical design, electronics, and embedded code. You don’t need to be the best in the room at any of the three, but you’ve done all three on real products. Comfortable enough in MCAD and ECAD to produce your own simple designs without handing them off to a specialist. A tinkerer at heart - you chase ambiguity into the hardware and keep digging until you understand why a system behaves the way it does. Bonus points for: Background in motion control, closed-loop systems, or sensor fusion. Shipped a hardware product from first prototype to production at volume. Experience with X-ray systems or other radiation-emitting equipment. We are unable to sponsor or take over sponsorship of employment visas at this time. All applicants must be legally authorized to work in the United States without current or future sponsorship.Lumafield offers both competitive cash and equity compensation, as well as a health & wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company wide events and more! Lumafield is committed to building a team that represents a variety of backgrounds, perspectives, and skills, because the more inclusive we are, the better our work will be. Do you feel like your skills don’t meet every single requirement listed? We encourage you to apply anyway – If you’re excited about our technology, the opportunity, and are eager to learn more we’d love to hear from you! In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability, genetic information or veteran status. Reach out if you want to be a part of what we are building.

🏢 Summary: Opportunity for a Data Scientist to build and optimize a near real-time AI-driven intelligence platform in a highly regulated environment. The role focuses on developing scalable data pipelines, integrating and monitoring Large Language Models, and transforming unstructured data into actionable insights. You will drive automation and model performance within a cloud-based data ecosystem. 🗂️ Requirements: Expert-level Python for data processing and AI orchestration, Experience building scalable ETL/ELT pipelines, Hands-on experience with LLM frameworks and prompt engineering, Experience ingesting data from APIs, RSS feeds, and web scraping, Experience managing raw data structures in cloud data platforms, Experience deploying AI models to production environments, Knowledge of model monitoring and hallucination detection, Proficiency with version control using Git 📃 Skills: Python, ETL, ELT, LLM, NLP, APIs, RSS, WebScraping, Git, Cloud, DevOps, PromptEngineering 🏢 Description: Billennium is a global technology company with over 20 years of experience, committed to innovation and empowering businesses. As an employer, we offer a supportive, growth-focused environment where collaboration and creativity thrive. Join us to shape the future of technology together! We are looking for a skilled Data Scientist to join an innovative AI initiative for a client in a highly regulated industry. The project focuses on transforming a periodic monitoring tool into a near real-time, daily intelligence platform Key Responsibilities: Ingestion Pipeline Development: Design, build, and maintain robust data pipelines using Python and cloud-based data platforms to ingest data from diverse sources such as RSS feeds, APIs, and web scraping. Data Platform Architecture: Manage raw data structures and ensure seamless data flow between ingestion pipelines and downstream applications. LLM Integration & Optimization: Implement and refine Large Language Models (LLMs) to categorize, summarize, and extract advanced insights (“Reasoning Modelling”) from unstructured data. LLM Ops: Establish monitoring frameworks for model performance, including hallucination detection, and implement continuous improvement loops based on expert feedback. Scalability & Automation: Support the transition to a fully automated 24-hour processing cycle within the data platform ecosystem. Technical Skills & Qualifications: Programming: Expert-level Python, particularly in data processing and AI orchestration. Data Engineering: Strong experience building scalable ETL/ELT pipelines in modern data platforms. AI / NLP: Hands-on experience with LLM frameworks and prompt engineering. Web Data Ingestion: Proficiency in handling RSS feeds, APIs, and both structured and unstructured web data. DevOps / LLM Ops: Familiarity with version control (Git) and deploying AI models into production environments. Perks and benefits: Comprehensive benefits - enjoy Udemy for Business, private medical care, Multisport card, veterinary package, language lessons, and shopping vouchers. Flexibility - adaptable working hours and remote/hybrid work options to suit your lifestyle & location. Career growth - access opportunities for professional development and learning, including perks related to our official partnerships with global IT giants: Microsoft, AWS, Snowflake, Salesforce & more. Global collaboration - work with a diverse, international team. Innovative environment - be part of a forward-thinking and growth-oriented workplace. Engaging community – Work with passionate professionals and participate in team-building events, hackathons, and CSR initiatives to make an impact beyond work. Team-building events including our company tradition (annual company event in Mazury ). A pleasant surprise to start your journey with us in the form of a welcome pack. Recruitment process: HR call Technical Interview Interview with the dedicated Client Final decision/ Feedback Sounds interesting? Click "Apply" and have a chance to hear more!

🏢 Summary: Full Stack Developer role focused on building and integrating LLM-powered features across React frontend and Python backend systems. The position involves working with LLM APIs, developing AI-driven functionality, and collaborating with cross-functional teams in overlapping EST hours. It combines frontend, backend, and AI integration responsibilities in a distributed environment. 🗂️ Requirements: Commercial experience with LLMs and model APIs, Minimum 1 year experience with React, Minimum 1 year experience with Python, Experience developing and integrating APIs, Experience with backend service development, Ability to work in distributed teams with EST overlap, Upper-intermediate English level 📃 Skills: React, Python, LLM, OpenAI, Claude, API, FastAPI, AI, REST, Git 🏢 Description: AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a Full Stack Developer to build and integrate LLM-powered features across frontend and backend systems. You will develop React components, extend Python backend services, and work directly with LLM APIs to deliver AI-driven product functionality. The role requires close collaboration with product, QA, and engineering teams with active overlap in EST hours What you will do Develop and integrate LLM-based functionality, including prompt engineering, API-based model usage, and AI workflows; Build and maintain React -based frontend components; Develop and extend Python backend services, including APIs, integrations, and data processing; Collaborate closely with product, QA, and engineering teams in overlapping EST hours; Participate in design discussions and contribute to scalable, maintainable solutions. Must haves Commercial experience with LLMs, including Claude , OpenAI , similar APIs, or custom model integration; 1+ year of experience with React , including hooks, state management, and component-driven development; 1+ year of experience with Python , including API development and backend logic; Experience working in distributed teams with active collaboration; Upper-intermediate English level. Nice to haves Experience with FastAPI or similar frameworks; Exposure to AI evaluation, prompt testing, or AI quality considerations; Prior work on data-heavy or AI-driven products. The benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!

🏢 Summary: Senior Machine Learning Engineer role focused on advancing AI and ML capabilities within a large-scale digital platform. The position involves researching, prototyping, and deploying state-of-the-art machine learning solutions to improve cost prediction, pricing, and sourcing models. The role combines hands-on model development, cloud-native engineering, and technical leadership in a production ML environment. 🗂️ Requirements: 5+ years building large-scale ML-driven user-facing products, 3+ years leading cross-team engineering initiatives, Experience with state-of-the-art ML techniques (transformers, self-supervised learning, generative models, LLMs), Hands-on experience training and deploying models at scale, Experience with large-scale data processing, Proficiency with deep learning frameworks, Experience with containers and container orchestration, Experience with distributed systems, Strong knowledge of OOP, design patterns, refactoring, and testing, Experience with Infrastructure as Code, Strong SQL and/or NoSQL knowledge, Experience designing databases and performing data analysis, Experience building and maintaining CI/CD pipelines, Proficiency with Unix/Linux systems, US Citizenship or Green Card (ITAR requirement) 📃 Skills: Python, PyTorch, TensorFlow, Transformers, LLMs, Docker, Kubernetes, SQL, NoSQL, CI/CD, Linux, IaC, DistributedSystems, OOP, Git 🏢 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.Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right person will help move our machine learning capabilities to the next level. You'll be working in an organization where AI is the enabler and center of its core business strategy. You want to be part of a small, intensely skilled team, who feel total ownership of their work, and can't imagine a day without learning & coding. You will play a crucial role in the Xometry platform and everything you do will matter. Responsibilities: At Xometry, you will play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry's platform Develop and implement machine learning models that improve Xometry's ability to predict cost, price, and sourcing options for our customers and suppliers. You will be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry's platform Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry's platform Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations Monitor machine learning models and AI performance and troubleshoot issues as they arise Contribute to the documentation and knowledge base to help other teams understand and use Xometry's AI effectively Qualifications: Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc Experience with large scale data processing (e.g., Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow) Successful candidates in this role need to be able to bridge state of the art approaches to real world impact A cloud-native software craftsperson with hands on experience with containers, container orchestration, and distributed systems An engineer with a self-driven attitude who can own problems and deliver solutions Strong software fundamentals with experience in design patterns, refactoring, OOP, and testing A cloud practitioner who values the "shift-left" mentality by building systems with Infrastructure as Code, not console clicking Data's at the heart of our systems, we hope it's yours too. You're comfortable working with SQL and/or NoSQL, understand database design, and data analysis Experience building and consuming CI/CD pipelines Someone who knows their way around the command line and has experience working with *nix systems 5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products 3+ years experience leading cross-team engineering efforts Strong execution skills in project management Must be a US Citizen or Green Card holder (ITAR) #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.

🏢 Summary: Senior Engineer role focused on independently delivering MVP features and Proofs of Concept end-to-end on an existing large-scale SaaS and data connector platform, with strong emphasis on practical use of LLMs and AI tools in daily development. The position involves backend-oriented full-stack development, rapid prototyping, and integration with cloud and CI/CD environments in a remote setup. 🗂️ Requirements: 4+ years of experience with Python, Full-stack development experience with strong backend focus, Knowledge of TypeScript, Knowledge of React, Hands-on experience using LLMs/AI tools in development workflows, Experience integrating with cloud services, Experience working with CI/CD pipelines, Professional level of English 📃 Skills: Python, TypeScript, React, LLM, AI, SaaS, CI/CD, Cloud 🏢 Description: Does building awesome, innovative products that add up to something meaningful sound like a dream come true? Come join us and make that vision a reality! About We are looking for a Senior Engineer who will independently deliver new MVP features and Proofs of Concept end-to-end. You will build on top of an existing large-scale SaaS and data connector platform, extending it with new ideas rather than starting in a pure greenfield. A key part of this role is the practical use of LLMs and AI tools in everyday development — to accelerate prototyping, coding, research and validation. Responsibilities Independently design and build MVP features and PoCs end-to-end Validate technical feasibility and provide pragmatic architecture decisions Use LLMs and AI tools to accelerate prototyping and exploration Implement clean, maintainable code Integrate with cloud services and CI/CD pipelines for fast delivery Collaborate with product/design to shape and refine early concepts Our offer Competitive salary on B2B contract Fully remote position Real impact and independence at work Individual career path Work-life balance A non-corporate atmosphere where innovation, personal growth, and teamwork thrive 100+ smart, curious & ambitious engineers What you bring 4+ years of experience with Python Full-stack skillset with strong backend orientation Knowledge of front-end technologies like TypeScript and React Demonstrated, hands-on use of LLMs/AI in real development workflows(e.g. code generation, refactoring, prototyping) Product mindset, speed, and autonomy in early-stage development Strong communication and teamwork skills — you’re proactive, listen with intention, and use clear writing to bring ideas to the table and keep everyone aligned. Professional level of English Benefits International Projects Small Teams Flat Structure Friendly Atmosphere Flexible Hours Individual Career Path We want your TALENT! Don’t hesitate and APPLY! We are happy to tell you more details about this position in a phone call. Our recruitment process is very fast and straightforward to ensure a great experience from the first interview to joining your dream team!

🏢 Summary: Forward Deployed Engineer role focused on embedding with enterprise customers to design, build, and ship integrated solutions on top of an AI-driven logistics data platform. You will lead technical discovery, integrate complex legacy systems (ERP, TMS, EDI, payments), and deliver production-ready solutions that drive measurable client results. The position combines hands-on engineering, customer-facing ownership, and early-stage function building in a high-growth environment. 🗂️ Requirements: 3-5 years of software engineering experience, Hands-on integration experience with enterprise systems (ERP, TMS, EDI, payment systems or similar), Strong production-level coding ability, Experience shipping end-to-end solutions in early-stage or high-growth environments, Ability to work in ambiguous, customer-facing environments with minimal oversight, Strong ability to translate technical constraints into business language 📃 Skills: APIs, EDI, ERP, TMS, Payments, Integration, Data, LegacySystems 🏢 Description: About You Loop is bringing AI to an industry that still runs on PDFs, phone calls, and tribal knowledge. You are 75% engineer, 25% product-founder mind. You write production code and navigate legacy systems with equal confidence, and translate customer needs into buildable requirements. You have real integration experience with enterprise customer systems. As a Forward Deployed Engineer, you will operate embedded with customers, learning their operations and building working solutions that drive client results and feed product direction. You own the problem end-to-end, from commercial discovery through technical delivery. This is an engineering role with autonomy to shape how an early-stage function operates. This role is on-site 4+ days per week through a combination of customer visits and in-person collaboration. What You'll Do - Qualify opportunities and lead technical discovery: map customer systems, assess technical fit, and produce scoped project plans. - Embed with customers to build and ship working solutions, iterate on feedback, and deliver a working v1 using platform primitives or custom builds. - Integrate customer systems with the platform including APIs, EDI feeds, ERPs, TMS platforms, and payment systems, handling complex underlying data. - Own customer relationships and deployment timelines, run meetings and demos, and travel to customer sites as needed. - Debrief deployments to identify repeatable patterns and productization opportunities. - Help refine processes and contribute to the team playbook. Qualifications - 3-5 years of software engineering experience. - Hands-on integration experience with enterprise customer systems such as ERPs, TMS platforms, EDI feeds, payment systems, or comparable legacy environments. - Strong coding skills meeting a high engineering bar and comfort navigating legacy systems. - Experience at early-stage or high-growth companies delivering end-to-end solutions. - Comfortable in ambiguous, customer-facing environments. - Strong communication skills across technical and business stakeholders. Nice to Have - Experience owning full-cycle customer deployments from discovery to shipping v1. - Background as Forward Deployed Engineer, implementation engineer, technical founder, field engineer, or applied AI engineer deploying into enterprise workflows. - Domain experience in supply chain, logistics, freight, or transportation. - Founder experience or leading technical initiatives from zero. Compensation and Benefits - Base salary range: $150,000 to $260,000 annually. - Eligibility for equity. - Health, dental, and vision insurance. - 401(k) match. - Paid time off and paid holidays. - Parental leave.

🏢 Summary: AI Product Manager role focused on leading AI-powered features such as AI assistants, document intelligence, and dashboards, with strong emphasis on building and managing LLM-based products in production. The role covers full product lifecycle ownership, defining quality and reliability standards, and making strategic decisions on AI usage within enterprise platforms. Requires deep understanding of embeddings, retrieval, evaluations, tool calling, MCP, and orchestration in real-world environments. 🗂️ Requirements: Experience building and launching AI or LLM-based products in production, Understanding of embeddings, document retrieval, evaluations, tool calling, MCP, and AI limitations, Experience defining and managing product roadmaps, Experience working with Agile/Scrum methodologies, Ability to use Jira or similar project management tools, Bachelor’s degree in Economics, Business, Computer Science, or related field 📃 Skills: LLM, Embeddings, Retrieval, Evaluations, ToolCalling, MCP, Orchestration, Agile, Scrum, Jira, Analytics 🏢 Description: We are looking for a Product Manager who understands how LLM products work in real business environments. This includes embeddings, document search, evaluations, tool and function calling, MCP, orchestration, and system reliability. Overview We are an AI-focused enterprise solutions company that works with public and private companies, governments, institutions, asset managers, and family offices. With headquarters in New York City and four offices worldwide, our global team includes more than 300 engineers and delivery specialists. By bringing data together, automating workflows, and providing predictive insights, we help organizations improve operations and make better business decisions in complex environments. The Opportunity We are hiring an AI Product Manager to lead our AI product area, including our AI assistant, document intelligence tools, and AI-based dashboards and reporting features. We need a PM who understands how LLM products work in production, including embeddings, document retrieval, evaluations, tool and function calling, MCP, orchestration, and reliability. Responsibilities Create product vision and roadmaps for AI-powered features across our platform. Manage the full product lifecycle from idea to launch. Work closely with engineering, design, QA, marketing, and other teams to deliver successful product releases. Define quality and reliability standards for AI features, including evaluations, permissions, response speed, and error handling. Make strong product decisions about when to use AI, when to use standard UX solutions, and how to combine both effectively. Support daily project management activities and improve product development processes using Agile methods. Conduct market and customer research to understand user needs, analyze data, and help prioritize product features. Requirements Experience building and launching AI or LLM-based products in production, preferably in data, analytics, automation, or developer platforms. Understanding of embeddings, evaluations, tool calling, MCP, and the limits of AI products. Ability to take ownership of product roadmap planning and execution. Good understanding of Agile/Scrum methods and tools such as Jira. Strong communication skills and ability to work with both technical and non-technical teams. Strong analytical and problem-solving skills, with the ability to explain product decisions clearly. Bachelor’s degree in Economics, Business, Computer Science, or a related field.

🏢 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.