Environmental Health & Safety Engineer

🏢 Summary: Senior Software Engineer role focused on improving reliability and automation across multi-data center AI infrastructure. The position combines strong software engineering skills with hands-on data center and systems expertise to build observability, automate remediation, and minimize downtime in mission-critical environments. The engineer will design scalable services, optimize Linux systems, and support distributed infrastructure with near-zero downtime requirements. 🗂️ Requirements: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or related field (or equivalent experience), 3+ years experience in SRE, Infrastructure, DevOps, or Systems Engineering in distributed production environments, Strong programming experience in Python, Solid Linux systems administration and performance tuning experience, Experience with Docker and Kubernetes or similar orchestration tools, Experience implementing observability solutions (metrics, logging, tracing, monitoring, alerting), Knowledge of networking fundamentals (TCP/IP, routing, DNS, redundancy), Experience troubleshooting distributed systems including hardware and network issues, Experience with on-call rotations and incident response practices, Ability to collaborate with cross-functional technical teams 📃 Skills: Python, Rust, Linux, Docker, Kubernetes, Prometheus, Grafana, TCP/IP, DNS, C++, Go 🏢 Description: ABOUT THE ROLE: We are seeking a highly skilled Sr. Software Engineer to join our team in managing and enhancing reliability across a multi-data center environment. This role focuses on automating processes, building and implementing robust observability solutions, and ensuring seamless operations for mission-critical AI infrastructure. The ideal candidate will combine strong coding abilities with hands-on data center experience to build scalable reliability services, optimize system performance, and minimize downtime—including close partnership with facility operations to address physical infrastructure impacts. In an era where AI workloads demand near-zero downtime, this position plays a pivotal role in bridging software engineering principles with physical data center realities. By prioritizing automation and observability, team members in this role can reduce mean time to recovery (MTTR) by up to 50% through proactive monitoring and automated remediation, based on industry benchmarks from high-scale environments like those at hyperscale cloud providers. The primary objective of this team is to mitigate downtime and minimize impact to end-users from both scheduled and unscheduled maintenance, as well as events affecting onsite data centers. This is achieved through proactive automation, robust observability, and integrated software-physical reliability strategies, ensuring our AI infrastructure remains resilient, scalable, and at the cutting edge of innovation. RESPONSIBILITIES: - Design, develop, and deploy scalable code and services (primarily in Python and Rust, with flexibility for emerging languages) to automate reliability workflows, including monitoring, alerting, incident response, and infrastructure provisioning. - Implement and maintain observability tools and practices, such as metrics collection, logging, tracing, and dashboards, to provide real-time insights into system health across multiple data centers. - Collaborate with cross-functional teams—including software development, network engineering, site operations, and facility operations—to identify reliability bottlenecks and automate solutions for fault tolerance, disaster recovery, capacity planning, and physical/environmental risk mitigation. - Troubleshoot and resolve complex issues in data center environments, including hardware failures, environmental anomalies, software bugs, and network-related problems, while adhering to reliability principles like error budgets and SLAs. - Optimize Linux-based systems for performance, security, and reliability, including kernel tuning, container orchestration (e.g., Kubernetes), and scripting for automation. - Understand network topologies and concepts in large-scale, multi-data center environments to troubleshoot connectivity, routing, redundancy, and performance issues. - Participate in on-call rotations, post-incident reviews (blameless postmortems), and continuous improvement initiatives to enhance overall site reliability. - Mentor junior team members and document processes to foster a culture of automation and knowledge sharing. BASIC QUALIFICATIONS: - Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a closely related technical field (or equivalent professional experience). - 3+ years of hands-on experience in site reliability engineering (SRE), infrastructure engineering, DevOps, or systems engineering in large-scale, distributed, or production environments. - Strong programming skills with proven production experience in Python; experience with Rust or strong fundamentals in a systems-level language (e.g., Go, C++). - Solid experience with Linux systems administration, performance tuning, kernel-level understanding, and scripting/automation in production environments. - Practical knowledge of containerization and orchestration technologies, such as Docker and Kubernetes (or similar systems). - Experience implementing observability solutions, including metrics, logging, tracing, monitoring tools (e.g., Prometheus, Grafana), alerting, and dashboards. - Familiarity with troubleshooting complex issues in distributed systems, including software bugs, hardware failures, network problems, and environmental factors. - Understanding of networking fundamentals (TCP/IP, routing, redundancy, DNS) in large-scale or multi-site environments. - Experience participating in on-call rotations, incident response, post-incident reviews (blameless postmortems), and reliability practices such as error budgets or SLAs. - Ability to collaborate effectively with cross-functional technical teams. PREFERRED SKILLS AND EXPERIENCE: - 5+ years of experience in SRE or infrastructure roles in hyperscale, cloud, or AI/ML training infrastructure environments. - Hands-on experience operating or scaling Kubernetes clusters at large scale. - Proficiency in Rust for systems programming and performance-critical components. - Experience integrating software reliability tools with physical data center infrastructure (power, cooling, environmental monitoring). - Experience building automated remediation, fault tolerance, disaster recovery, capacity planning, or predictive failure detection systems. - Background in optimizing Linux-based systems for AI workloads, GPU clusters, or high-throughput compute environments. - Experience with bare-metal provisioning, data center interconnects, or hybrid/multi-site failover mechanisms. - Mentoring experience and strong documentation skills.

🏢 Summary: Senior Software Engineer role focused on building automation and observability solutions to enhance reliability across multi-data center AI infrastructure. The position combines strong programming skills with hands-on data center and Linux systems expertise to minimize downtime and optimize performance. It involves developing scalable services, improving monitoring and incident response, and collaborating across infrastructure and facility teams. 🗂️ Requirements: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or related field (or equivalent experience), 3+ years experience in SRE, Infrastructure, DevOps, or Systems Engineering in large-scale production environments, Strong production experience in Python, Solid Linux systems administration and kernel-level knowledge, Experience with containerization and orchestration (Docker, Kubernetes or similar), Experience implementing observability solutions (metrics, logging, tracing, monitoring, alerting), Understanding of networking fundamentals (TCP/IP, routing, DNS, redundancy), Experience troubleshooting distributed systems, hardware and network issues, Experience with on-call rotations and incident response practices (SLAs, error budgets), Ability to collaborate with cross-functional technical teams 📃 Skills: Python, Rust, Linux, Kubernetes, Docker, Prometheus, Grafana, TCP/IP, DNS, Scripting, Automation, Observability, Monitoring, Tracing, Networking 🏢 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 seeking a highly skilled Sr. Software Engineer to join our team in managing and enhancing reliability across a multi-data center environment. This role focuses on automating processes, building and implementing robust observability solutions, and ensuring seamless operations for mission-critical AI infrastructure. The ideal candidate will combine strong coding abilities with hands-on data center experience to build scalable reliability services, optimize system performance, and minimize downtime—including close partnership with facility operations to address physical infrastructure impacts. In an era where AI workloads demand near-zero downtime, this position plays a pivotal role in bridging software engineering principles with physical data center realities. By prioritizing automation and observability, team members in this role can reduce mean time to recovery (MTTR) by up to 50% through proactive monitoring and automated remediation. The primary objective of this team is to mitigate downtime and minimize impact to end-users from both scheduled and unscheduled maintenance, as well as events affecting onsite data centers. This is achieved through proactive automation, robust observability, and integrated software-physical reliability strategies. RESPONSIBILITIES: - Design, develop, and deploy scalable code and services (primarily in Python and Rust) to automate reliability workflows, including monitoring, alerting, incident response, and infrastructure provisioning. - Implement and maintain observability tools and practices, such as metrics collection, logging, tracing, and dashboards, to provide real-time insights into system health across multiple data centers. - Collaborate with cross-functional teams to identify reliability bottlenecks and automate solutions for fault tolerance, disaster recovery, capacity planning, and physical/environmental risk mitigation. - Troubleshoot and resolve complex issues in data center environments, including hardware failures, environmental anomalies, software bugs, and network-related problems, while adhering to reliability principles like error budgets and SLAs. - Optimize Linux-based systems for performance, security, and reliability, including kernel tuning, container orchestration, and scripting for automation. - Understand network topologies and concepts in large-scale, multi-data center environments to troubleshoot connectivity, routing, redundancy, and performance issues. - Participate in on-call rotations, post-incident reviews (blameless postmortems), and continuous improvement initiatives. - Mentor junior team members and document processes to foster a culture of automation and knowledge sharing. BASIC QUALIFICATIONS: - Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a closely related technical field (or equivalent professional experience). - 3+ years of hands-on experience in site reliability engineering (SRE), infrastructure engineering, DevOps, or systems engineering in large-scale, distributed, or production environments. - Strong programming skills with proven production experience in Python; experience with Rust or another systems-level language (e.g., Go, C++) is essential. - Solid experience with Linux systems administration, performance tuning, kernel-level understanding, and scripting/automation in production environments. - Practical knowledge of containerization and orchestration technologies, such as Docker and Kubernetes. - Experience implementing observability solutions, including metrics, logging, tracing, monitoring tools, alerting, and dashboards. - Familiarity with troubleshooting complex issues in distributed systems, including software bugs, hardware failures, network problems, and environmental factors. - Understanding of networking fundamentals (TCP/IP, routing, redundancy, DNS) in large-scale or multi-site environments. - Experience participating in on-call rotations, incident response, post-incident reviews, and reliability practices such as error budgets or SLAs. - Ability to collaborate effectively with cross-functional teams. PREFERRED SKILLS AND EXPERIENCE: - 5+ years of experience in SRE or infrastructure roles in hyperscale, cloud, or AI/ML training environments with multi-data center setups. - Hands-on experience operating or scaling Kubernetes clusters at large scale, including automation for provisioning and high availability. - Proficiency in Rust for systems programming and performance-critical components. - Experience integrating software reliability tools with physical data center infrastructure (power, cooling, environmental monitoring). - Experience building automated remediation, fault tolerance, disaster recovery, capacity planning, or predictive failure detection systems. - Background in optimizing Linux-based systems for AI workloads, GPU clusters, or high-throughput compute environments. - Experience with bare-metal provisioning, data center interconnects, or hybrid/multi-site failover mechanisms. - Mentoring experience and strong documentation skills. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: The role involves working as an AI Tutor specializing in Industrial/Systems Engineering, supporting the training of AI models through high-quality data labeling and task development. The position focuses on collaborating with technical teams, refining annotation tools, and contributing domain expertise to improve model performance in a fast-paced environment. It can be performed remotely with flexible hours depending on project needs. 🗂️ Requirements: Master's or PhD in Industrial or Systems Engineering or related field, Proficiency in written and spoken English, Ability to use software tools for data input and labeling, Ability to navigate databases and online information resources, Strong analytical skills, Ability to interpret and execute tasks based on detailed instructions, Legal eligibility to work without visa sponsorship, Access to Chromebook, MacOS 11+, or Windows 10+ device 📃 Skills: IndustrialEngineering, SystemsEngineering, DataAnnotation, DataLabeling, AI, Databases, TechnicalWriting, English, MacOS, Windows 🏢 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: xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. As an AI Tutor - Industrial/Systems Engineering specialist, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems where your expertise can drive significant improvements in model performance. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. RESPONSIBILITIES: Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Regularly require you to interpret, analyze, and execute tasks based on given instructions. BASIC QUALIFICATIONS: Must possess a Master's or PhD in Industrial or Systems Engineering, or a highly-related field. Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources, databases, and online resources are essential. You display outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material. You have a strong passion for and commitment to technological advancements and innovation. PREFERRED SKILLS AND EXPERIENCE: Possess a PhD in Industrial or Systems Engineering. Substantial professional experience working on real-world problems in this domain. Possess experience with at least one publication in a reputable journal or outlet. Has previous AI Tutoring experience. Teaching experience (as a professor, teacher, or tutor). You possess experience in technical writing, journalism, or a professional writing setting. Professional background as an industrial or systems engineer. LOCATION AND OTHER EXPECTATIONS: Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs. For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: AI Tutor – Industrial/Systems Engineering specialist role focused on providing high-quality data labeling and domain expertise to support training and improvement of advanced AI systems. The position involves close collaboration with technical teams to refine annotation tools, curate datasets, and enhance model performance. This is a hands-on, flexible role requiring strong analytical skills and adaptability in a fast-paced AI development environment. 🗂️ Requirements: Master’s or PhD in Industrial or Systems Engineering or related field, Proficiency in written and spoken English, Ability to use proprietary annotation software, Experience navigating databases and online resources, Strong analytical and reading comprehension skills, Ability to interpret and execute evolving technical instructions, Capability to collaborate with technical teams, MacOS 11+ or Windows 10+ or Chromebook device 📃 Skills: Annotation, Data-labeling, AI, Databases, Research, English, Technical-writing, MacOS, Windows, Chromebook 🏢 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: xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. As an AI Tutor - Industrial/Systems Engineering specialist, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems where your expertise can drive significant improvements in model performance. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. RESPONSIBILITIES: Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Regularly require you to interpret, analyze, and execute tasks based on given instructions. BASIC QUALIFICATIONS: Must possess a Master's or PhD in Industrial or Systems Engineering, or a highly-related field. Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources, databases, and online resources are essential. You display outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material. You have a strong passion for and commitment to technological advancements and innovation. PREFERRED SKILLS AND EXPERIENCE: Possess a PhD in Industrial or Systems Engineering. Substantial professional experience working on real-world problems in this domain. Possess experience with at least one publication in a reputable journal or outlet. Has previous AI Tutoring experience. Teaching experience (as a professor, teacher, or tutor). You possess experience in technical writing, journalism, or a professional writing setting. Professional background as an industrial or systems engineer. LOCATION AND OTHER EXPECTATIONS: Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs. For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: Full-time on-site Paralegal role supporting an in-house legal team across contracts, corporate governance, compliance, intellectual property, and legal operations. The position involves drafting legal documents, managing regulatory filings, and streamlining legal processes in a fast-paced, technology-driven environment. Offers competitive compensation, equity, and comprehensive benefits. 🗂️ Requirements: Bachelor's degree, Experience drafting legal documents and contracts, Knowledge of corporate governance and entity management, Ability to manage compliance and regulatory filings, Strong organizational skills and attention to detail, Ability to prioritize and manage multiple tasks independently, Excellent communication and interpersonal skills, Ability to work on-site full-time, U.S. work authorization compliant with ITAR regulations 📃 Skills: Contracts, Compliance, CorporateGovernance, EntityManagement, RegulatoryFiling, LegalOperations, IntellectualProperty, AI, Notary 🏢 Description: ABOUT THE ROLE: We're seeking an exceptionally talented paralegal to support our in-house legal department. In this role, you'll provide critical support to the legal team across a variety of areas, including contracts, corporate governance, compliance, intellectual property, and enhancing overall legal operations. We're seeking someone with outstanding organizational and interpersonal skills, sound judgment, and the ability to thrive in a fast-paced, innovative environment. This role is full-time on-site and based in Palo Alto, Austin, or Washington, D.C.. RESPONSIBILITIES: Assist with drafting legal documents, contracts, agreements, and other legal documents. Manage compliance for commercial and corporate agreements. Support corporate governance and entity management, minute books, and regulatory filings. Work cross-functionally to develop and implement processes to streamline legal operations, integrate technology tools, and drive overall efficiencies. Be a team player: pitch in for anything needed in the legal department, even if it's unfamiliar or outside your core responsibilities. BASIC QUALIFICATIONS: Bachelor's degree required. Have a strong sense of ownership, be inquisitive and enthusiastic about technology, and enjoy being continually challenged. Ability to thrive in ambiguous situations and can demonstrate sound judgment under pressure. Strong organizational skills, attention to detail, and the ability to independently prioritize and manage multiple tasks. Team-first player who is highly mission-driven. Excellent communication and interpersonal skills with a proactive mindset. Tech-savvy with an understanding or keen interest in emerging technologies like AI. Notary registration or a strong interest in obtaining certification is desirable. COMPENSATION AND BENEFITS: $100,000 - $150,000 USD Base salary is just one part of our total rewards package, 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.

🏢 Summary: Full-time on-site Paralegal role supporting an in-house legal department across contracts, corporate governance, compliance, intellectual property, and legal operations. The position involves drafting legal documents, managing regulatory filings, and improving legal processes in a fast-paced, technology-driven environment. Offers competitive compensation, equity, and comprehensive benefits. 🗂️ Requirements: Bachelor's degree, Ability to draft legal documents and contracts, Experience with corporate governance and entity management, Knowledge of compliance for commercial and corporate agreements, Strong organizational skills and attention to detail, Ability to manage multiple tasks independently, Excellent communication and interpersonal skills, Tech-savvy with interest in emerging technologies like AI, Eligibility under ITAR regulations (U.S. citizen, permanent resident, refugee, asylee, or authorized) 📃 Skills: Contracts, Compliance, CorporateGovernance, EntityManagement, RegulatoryFilings, LegalOperations, IntellectualProperty, AI, Notary 🏢 Description: ABOUT THE ROLE: We’re seeking an exceptionally talented paralegal to support our in-house legal department. In this role, you'll provide critical support to the legal team across a variety of areas, including contracts, corporate governance, compliance, intellectual property, and enhancing overall legal operations. We're seeking someone with outstanding organizational and interpersonal skills, sound judgment, and the ability to thrive in a fast-paced, innovative environment. This role is full-time on-site and based in Palo Alto, Austin, or Washington, D.C.. RESPONSIBILITIES: - Assist with drafting legal documents, contracts, agreements, and other legal documents. - Manage compliance for commercial and corporate agreements. - Support corporate governance and entity management, minute books, and regulatory filings. - Work cross-functionally to develop and implement processes to streamline legal operations, integrate technology tools, and drive overall efficiencies. - Be a team player: pitch in for anything needed in the legal department, even if it's unfamiliar or outside your core responsibilities. BASIC QUALIFICATIONS: - Bachelor's degree required. - Have a strong sense of ownership, be inquisitive and enthusiastic about technology, and enjoy being continually challenged. - Ability to thrive in ambiguous situations and can demonstrate sound judgment under pressure. - Strong organizational skills, attention to detail, and the ability to independently prioritize and manage multiple tasks. - Team-first player who is highly mission-driven. - Excellent communication and interpersonal skills with a proactive mindset. - Tech-savvy with an understanding or keen interest in emerging technologies like AI. - Notary registration or a strong interest in obtaining certification is desirable. COMPENSATION AND BENEFITS: $100,000 - $150,000 USD Base salary is just one part of the total rewards package, 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.

🏢 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: Opportunity for a Network Engineer to support and evolve a large-scale global network infrastructure, focusing on provisioning, monitoring, troubleshooting, and continuous improvement of corporate and backbone networking environments. The role involves hands-on work with routing, wireless, remote access, and network security technologies while participating in on-call operations. Ideal for candidates with solid networking fundamentals seeking to grow in a high-performance, production environment. 🗂️ Requirements: Basic understanding of BGP configuration and management, Basic knowledge of backbone and datacenter networks, Working knowledge of at least one internal routing protocol, Working knowledge of TCP/IP, Working knowledge of corporate networking, Working knowledge of remote access technologies, Working understanding of wireless technologies, Ability to provision and manage network devices and circuits, Ability to troubleshoot network hardware and software issues, Strong documentation skills, Strong communication skills, Eligibility to work under ITAR regulations (U.S. citizen, national, permanent resident, refugee, asylee, or authorized) 📃 Skills: BGP, TCP/IP, Routing, Wireless, RemoteAccess, NAC, Juniper, Cisco, Aruba, Arista, Scripting, Automation, NetworkSecurity, Firmware 🏢 Description: ABOUT THE ROLE: Our Network Engineering team handles a dynamic, constantly growing and evolving global network that provides a reliable, high-performance and secure network behind one of the few products in the world that touches over 1 billion people. The ideal candidate is a Network Engineer who is proficient with the fundamentals and eager to grow skills on a global network. RESPONSIBILITIES: - Help to define configuration and architecture standards - Contribute to the qualification of new platforms - Provision network devices in corporate offices and POPs according to documented procedures - Provision and manage corporate circuits - Contribute to continuous improvement of configuration standards and operational procedures - Contribute to continuous improvement of corporate device monitoring - Liaise with third parties, IT, and remote office users to resolve issues - Create and execute scheduled changes, processes, and documentation - Participate in the on-call rotation - Maintain and upgrade existing systems, including firmware updates and configurations - Monitor network performance and ensure system availability and reliability - Troubleshoot and resolve network hardware and software problems BASIC QUALIFICATIONS: - Basic understanding of BGP configuration and management - Basic knowledge of backbone and datacenter networks - Working understanding of wireless technologies - Working knowledge of at least one internal routing protocol and its day-to-day operation - Working knowledge of corporate networking - Working knowledge of TCP/IP - Working knowledge of remote access - Strong documentation and communication skills PREFERRED SKILLS AND EXPERIENCE: - Familiarity with multiple networking vendors such as Juniper, Cisco, Aruba, Arista - Familiarity with remote access technologies - Knowledge of network security and NAC - Experience with scripting and automation of network operations activities ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicants must be a U.S. citizen or national, U.S. lawful permanent resident (green card holder), refugee under 8 U.S.C. § 1157, asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State.

🏢 Summary: Network Engineer role focused on supporting and evolving a large-scale global corporate and backbone network, ensuring high performance, reliability, and security. The position involves provisioning, monitoring, troubleshooting, and improving network infrastructure, as well as contributing to standards, automation, and operational excellence. Candidates will work hands-on with network devices, routing protocols, and remote access technologies in a dynamic environment. 🗂️ Requirements: Basic understanding of BGP configuration and management, Knowledge of backbone and datacenter networks, Working knowledge of at least one internal routing protocol, Working knowledge of TCP/IP, Working knowledge of corporate networking, Working knowledge of remote access technologies, Understanding of wireless technologies, Ability to provision and manage network devices and circuits, Experience with network monitoring and troubleshooting, Strong documentation and communication skills, Eligibility under ITAR regulations 📃 Skills: BGP, TCP/IP, Routing, Wireless, RemoteAccess, Juniper, Cisco, Aruba, Arista, NAC, Scripting, Automation, Datacenter, Backbone, Networking 🏢 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: Our Network Engineering team handles a dynamic, constantly growing and evolving global network that provides a reliable, high-performance and secure network behind one of the few products in the world that touches over 1 billion people. The ideal candidate is a Network Engineer who is proficient with the fundamentals, and eager to grow your skills on a global network. You're a motivated pragmatic thinker, eager to get the job done while finding a balance between shipping and quality with a: RESPONSIBILITIES: Help to define configuration and architecture standards Contribute to the qualification of new platforms Provisioning of network devices in corporate offices and POPs as per documented procedures Provisioning and management of corporate circuits Contribute to the continuous improvement of configuration standards and operational procedures Contribute to the continuous improvement of corporate device monitoring Liaise with third parties, IT and remote office users to fix and resolve issues Creation and execution of scheduled changes, process & documentation Participate in the on call rotation Maintaining and upgrading existing systems, firmware updates and configurations Monitoring network performance and ensuring system availability and reliability Troubleshooting: Analyzing and resolving network hardware and software problems BASIC QUALIFICATIONS: Basic understanding of BGP configuration and management Basic knowledge of backbone and datacenter networks Working understanding of wireless technologies Working knowledge of at least one internal routing protocol, its configuration and day to day operation Working knowledge of corporate networking Working knowledge of TCP/IP Working knowledge of remote access Strong documentation and communication skill set PREFERRED SKILLS AND EXPERIENCE: Familiarity with the following: Multiple networking vendors, such as Juniper, Cisco, Aruba, Arista Remote Access Network security and NAC Scripting and automation of network operations activities 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: This role involves working on the most critical product or technical challenges within a cutting-edge AI organization focused on building truth-seeking AI systems. The position requires direct, hands-on contribution to high-impact engineering problems in a fast-paced, meritocratic environment. Candidates will tackle core technical initiatives aligned with advancing AI capabilities. 🗂️ Requirements: Exceptional software engineering skills, Proven ability to solve complex technical problems, Hands-on experience in building and delivering software systems, Ability to work on high-priority product or technical challenges, Strong technical communication skills 📃 Skills: Software, Engineering, AI, Programming, Systems 🏢 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: You will work on the most critical product or technical challenge at any given time. You will get clarity on your first project before an offer. BASIC QUALIFICATIONS: You believe truth-seeking AI is the most important and challenging problem. You take pride in your work and thrive in meritocratic environments. You are an exceptional software engineer. COMPENSATION AND BENEFITS: $180,000 - $440,000 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. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.