Senior Data Analyst- Fraud & AML

🏢 Summary: In-office Product Counsel role supporting AI product and engineering teams with legal guidance on AI, privacy, content regulation, advertising, and international expansion. The position involves cross-functional collaboration to advise on product development, regulatory compliance, and scalable legal processes in a fast-paced environment. Compensation includes equity, comprehensive benefits, and a salary range of $230,000–$275,000 USD. 🗂️ Requirements: 5+ years of legal experience in AI, privacy, consumer protection, or content regulation, JD degree, Bar admission or equivalent in good standing, Ability to provide legal guidance on AI and product-related matters, Strong written and verbal communication skills, Ability to work cross-functionally with engineering, policy, and business teams, In-office full-time availability, Eligibility to comply with U.S. ITAR regulations 📃 Skills: AI, Privacy, Copyright, Advertising, Compliance, Regulation, ConsumerProtection, DataProtection, Legal, ITAR 🏢 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 Product Counsel are key advisors to product and engineering teams and work cross-functionally across the organization. The role requires a deep understanding of products and business operations, and the ability to provide clear, practical legal advice in a fast-paced environment. Responsibilities - Provide legal advice to product and engineering teams focusing on AI, personalization, interests, creators, ads, and international expansion. - Support teams building AI models and engagement-focused products. - Partner with Legal and Public Policy leadership while understanding how products evolve under global laws. - Build scalable and effective legal review processes for strategic product initiatives. - Collaborate across Legal, Engineering, Safety, Policy, and Business Development teams. - Stay current on U.S. and international laws related to AI, privacy, intellectual property, content regulation, consumer protection, and advertising. Required Qualifications - 5+ years of legal experience in AI, privacy, consumer protection, or content regulation. - Exceptional communication skills with the ability to explain complex ideas clearly and effectively. - JD degree and bar admission or equivalent in good standing. Preferred Qualifications - Regulatory or in-house legal experience. - Solution-oriented and collaborative mindset. - Ability to work effectively in cross-functional teams. - Experience advising consumer platforms in the social media sector on personalization and data protection. Annual Salary Range $230,000 - $275,000 USD Benefits Base salary is one part of the total rewards package and includes equity, comprehensive medical, vision, and dental coverage, 401(k) retirement plan access, short- and long-term disability insurance, life insurance, and additional discounts and perks. ITAR Requirements Applicants must meet U.S. export regulation eligibility requirements, including U.S. citizenship, lawful permanent residency, refugee or asylee status, or eligibility to obtain required authorizations from the U.S. Department of State. xAI is an equal opportunity employer.

🏢 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: 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.

🏢 Summary: Opportunity for an exceptional software engineer to tackle the most critical product or technical challenges within a high-impact AI environment. The role involves hands-on contribution to core systems and direct influence on cutting-edge AI development. 🗂️ Requirements: Exceptional software engineering ability, Proven experience building and delivering complex software systems, Ability to work on high-priority technical challenges, Hands-on development experience in production environments, Strong technical communication skills 📃 Skills: Programming, Algorithms, DataStructures, Systems, AI, Testing, Debugging 🏢 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.

🏢 Summary: Opportunity to build and scale automation-first network software and services supporting large-scale GPU supercomputing fabrics for AI training and inference. The role focuses on developing tools for network management, metrics collection, provisioning, monitoring, and auto-remediation while implementing Infrastructure as Code best practices. You will design highly scalable, reliable systems that orchestrate tens of thousands of network devices in production environments. 🗂️ Requirements: Deep experience working with network engineers and network topologies, Strong knowledge of physical and logical network architectures, Strong knowledge of network protocols, Proven experience designing scalable and reliable software systems, Experience building systems that orchestrate large-scale network devices, Ability to implement Infrastructure as Code best practices, Experience enhancing deployment pipelines, Ability to create and define meaningful metrics for prioritization, Strong communication skills 📃 Skills: Python, Go, TCP/IP, BGP, RDMA, IaC, Networking, Automation 🏢 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 As part of the Network Software and Services for AI (nssAI) team, you will build cutting-edge software, services, and frameworks to empower Network Development Engineers. You will work hands-on across all facets of network management, including metric collection, configuration, zero-touch provisioning, monitoring, and auto-remediation, driving automation-first solutions for production and ancillary networks. The role involves developing extensible tools, streamlining complex processes, and ensuring high reliability to support AI training and inference workloads. Focus - Building software and tools with extensive metrics coverage for large-scale GPU supercomputing network fabrics used for AI training and serving inference queries. - Implementing Infrastructure as Code best practices, enhancing deployment pipelines, and ensuring robust and secure service delivery across production environments. Preferred Skills and Experience - Deep experience collaborating with network engineers using extensive knowledge of physical and logical network topologies and protocols. - Expert knowledge and proven history of designing scalable and reliable software from the ground up. - Experience building and orchestrating tens of thousands of network devices at high speed. - Ability to thrive in ambiguity and create metrics to help prioritize team focus. Tech Stack - Python - Go - TCP/IP - BGP - RDMA Annual Salary Range $150,000 - 250,000k Benefits Base salary is part of the total rewards package, which includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short- and long-term disability insurance, life insurance, and additional discounts and perks. xAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: AI Legal and Compliance Data Specialist role focused on training AI systems with high-quality legal and compliance data annotations. The position involves legal analysis, contract and regulatory review, collaboration with technical teams, and improving annotation workflows in a flexible remote environment. Candidates must have a J.D. and professional legal practice experience across relevant legal domains. 🗂️ Requirements: J.D. or foreign equivalent, 2+ years practicing law in relevant legal fields, Strong legal analysis and legal writing skills, Professional English reading and writing proficiency, Strong communication and analytical skills, Ability to exercise autonomous judgment, Bar admission or equivalent legal certification, Ability to adapt to evolving instructions, Eligibility to work remotely without visa sponsorship, Access to Chromebook, macOS 11+ or Windows 10+ device 📃 Skills: AI, Annotation, Compliance, Contracts, Litigation, Research, Cybersecurity, Privacy, English, Windows, macOS, Chromebook 🏢 Description: SpaceXAI'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 skilled AI Legal and Compliance Data Specialist to enhance xAI's AI models by providing high-quality data annotations and inputs tailored to legal and compliance contexts. In this role, you will leverage your expertise in regulatory compliance, contract analysis, legal research, and dispute resolution to support the training of AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world legal and compliance dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment. RESPONSIBILITIES: - Utilize proprietary software to provide accurate input and labels for legal and compliance projects, ensuring high-quality data for AI model training. - Deliver curated, high-quality data for scenarios involving regulatory compliance, contract analysis, legal research, and dispute resolution. - Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. - Assist in designing and improving efficient annotation tools tailored for legal and compliance data. - Select and analyze complex problems in legal and compliance fields aligned with your expertise to enhance AI model performance. - Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability. BASIC QUALIFICATIONS: - Must have a J.D. (Juris Doctor) or foreign equivalent. - At least 2 years of practicing law in one or more relevant practice areas. - Strong legal analysis and writing skills, including the ability to draft clear, concise, and well reasoned legal documents and memoranda. - Proficiency in reading and writing informal and professional English. - Strong communication, interpersonal, analytical, and organizational skills. - Excellent reading comprehension and ability to exercise autonomous judgment with limited data. - Passion for technological advancements and innovation in legal processes. - Relevant certification, license, or advanced training (bar admission or similar legal certification). PREFERRED SKILLS AND EXPERIENCE: - Experience mentoring or training others in legal practices. - Comfort with recording audio or video sessions for data collection. - Familiarity with AI or data annotation workflows in a technical setting. 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 based on project scope and contractor availability. - 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, hiring is unavailable in Wyoming and Illinois. - Visa sponsorship is not available. - Personal devices must be Chromebook, Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: - US based candidates: $45/hour - $100/hour depending on experience, skills, education, geographic location, and qualifications. - Benefits vary based on employment type, location, and jurisdiction. - Eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. - Specific details will be provided during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Senior Data Engineer role owning the analytics foundation for consumer subscriptions (X Premium and SuperGrok), driving revenue and product strategy through large-scale data analysis. The position combines hands-on data engineering, statistical analysis, experimentation, and dashboard development to optimize acquisition, retention, and monetization. This is a high-impact role focused on transforming complex datasets into actionable business insights. 🗂️ Requirements: 5+ years experience in data analytics (revenue, subscription, or growth analytics), Strong proficiency in SQL and Python, Experience with statistical methods and A/B testing, Experience with cohort analysis and causal inference, Knowledge of subscription metrics (LTV, churn, retention, conversion, revenue attribution), Experience building dashboards and visualizations, Ability to work with large-scale datasets with high accuracy and rigor 📃 Skills: SQL, Python, pandas, numpy, A/B testing, Causal inference, Cohort analysis, Looker, Tableau, Metabase, BigQuery 🏢 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're seeking a Senior Data Engineer to join the Consumer Subscriptions team. You will own the analytics foundation for X Premium and SuperGrok — one of X's fastest-growing revenue organizations. You will dive deep into the entire consumer subscription ecosystem, turning massive-scale data into clear, actionable insights that drive strategic decisions, optimize revenue, and shape product direction. This high-impact role combines rigorous statistical analysis, compelling visualization, and hands-on data engineering to monitor performance, measure impact, surface opportunities, and ensure every initiative moves the needle. RESPONSIBILITIES: Own end-to-end analysis of the consumer subscriptions ecosystem — including acquisition, conversion, retention, churn, revenue, pricing, promotions, bundles, and global performance. Build and maintain high-impact dashboards and visualizations that give the team real-time visibility into key metrics and trends. Perform deep statistical analysis and experimentation to quantify the impact of new features, offers, communications, and market expansions. Identify where the team should focus next by uncovering growth opportunities, user behavior patterns, and optimization levers. Design and run ongoing monitoring systems and automated audits to ensure data accuracy, integrity, and compliance at scale. Write efficient code (SQL, Python, etc.) to extract, transform, and analyze complex datasets from multiple sources. Translate complex findings into clear, compelling narratives and recommendations that influence engineering, product, and business strategy. BASIC QUALIFICATIONS: 5+ years of experience as a data analyst (or equivalent) with a proven track record in revenue, subscription, or growth analytics. Strong SQL and Python proficiency (pandas, numpy, etc.) for data extraction, cleaning, and analysis. Deep experience with statistical methods, A/B testing, cohort analysis, and causal inference. Strong familiarity with subscription metrics and modeling (LTV, churn, retention, conversion, revenue attribution, etc.). Skilled at building intuitive dashboards and visualizations (Looker, Tableau, Metabase, or Python-based tools). Ability to handle large-scale data with a strong emphasis on accuracy, rigor, and storytelling. PREFERRED SKILLS AND EXPERIENCE: Prior work in consumer subscriptions, billing, payments, or monetization analytics at scale. Experience with BigQuery and real-time analytics pipelines. Strong product intuition and the ability to connect data insights directly to business outcomes. 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.

🏢 Summary: Engineering role focused on building and owning a high-throughput, low-latency API and backend infrastructure for large-scale model inference. The position involves designing and operating reliable, horizontally scalable distributed systems that serve billions of tokens per minute. You will develop and maintain model serving, routing, SDKs, and observability within a production-grade environment. 🗂️ Requirements: Expert knowledge of Rust or C++, Experience building and maintaining horizontally scalable distributed systems, Experience designing reliable high-availability production infrastructure, Knowledge of observability and reliability best practices, Experience operating PostgreSQL, Clickhouse, or MongoDB 📃 Skills: Rust, C++, Go, PostgreSQL, Clickhouse, MongoDB, gRPC, Docker, Kubernetes, TensorRT, vLLM, SGLang, REST, SDK 🏢 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: As an ideal candidate you have a good understanding of how highly scalable and reliable production infrastructure is built. Most of our backend infrastructure is written in Rust. So familiarity with a compiled language such as C++, Rust, or Go is highly beneficial. RESPONSIBILITIES: Build the xAI API that serves our models to developers worldwide Own the end-to-end system responsible for high-throughput inference, handling billions of tokens per minute with low latency and high availability, including model serving infrastructure, request routing, SDK development, rate limiting, observability, and efficient scaling BASIC QUALIFICATIONS: Expert knowledge of either Rust or C++ Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems Knowledge of service observability and reliability best practices Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and MongoDB PREFERRED SKILLS AND EXPERIENCE: Experience with LLM inference engines and serving frameworks (e.g., SGLang, TensorRT, vLLM) Experience designing or building with agent SDKs and agent orchestration frameworks Experience with Docker, Kubernetes, and containerized applications Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping) 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.

🏢 Summary: Opportunity for a senior iOS Engineer to build a high-impact AI mobile application, owning features end-to-end from architecture to App Store release. The role focuses on crafting high-performance, pixel-perfect user experiences and integrating state-of-the-art AI models into responsive, real-time iOS apps. 🗂️ Requirements: Expert-level Swift proficiency, Deep knowledge of UIKit and SwiftUI, Experience with performance optimization (memory, CPU, GPU), Strong concurrency and reactive programming skills (Combine), Experience integrating APIs (REST or gRPC), Ability to design and ship pixel-perfect mobile UIs, Experience owning features end-to-end including architecture and App Store deployment 📃 Skills: Swift, UIKit, SwiftUI, Combine, REST, gRPC, Rust, AVFoundation, iOS, Xcode 🏢 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're seeking an exceptional iOS engineer to join a small, high-impact team dedicated to creating the world's most valuable AI application, judged by the impact it delivers to users. You'll shape cutting-edge mobile experiences, blending technical mastery with product brilliance. RESPONSIBILITIES: Dream up and craft delightful, intuitive user experiences that redefine how people interact with AI on mobile. Obsess over every pixel, animation, and interaction, ensuring the experience feels magical and seamless. Build blazing-fast, highly performant systems where every millisecond counts. Drive technical and product decisions, collaborating with AI researchers and engineers to deploy state-of-the-art models globally. BASIC QUALIFICATIONS: Expert in Swift, with deep knowledge of UIKit and SwiftUI. Proficient in performance optimization—memory, CPU, GPU—using low-level tools to deliver blazing-fast systems. Experienced in designing and shipping intuitive, pixel-perfect mobile UIs that redefine how users interact with AI. Skilled in concurrency and reactive programming (Combine) for responsive, real-time apps. Built high-throughput integrations with APIs (REST, gRPC) or AI model outputs, ensuring seamless data flow. Capable of owning complex features end-to-end, from architecture to App Store deployment, with a focus on speed and scalability. PREFERRED SKILLS AND EXPERIENCE: Deep expertise in the Apple ecosystem and related development tools. Rust for working with our backend components. AVFoundation for real-time audio processing. Track record of shipping standout apps or standout features within apps. Deep expertise in iOS development, particularly with Swift. We seek individuals who operate at the highest levels of their craft. Excel at delivering results swiftly, often in a fraction of the time others require. Speed is a core value at xAI—we must act decisively to succeed. A sharp product sense, with an ability to empathize with users, anticipate their needs, and translate that into features that delight and deliver value. 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.

🏢 Summary: Cybersecurity / SRE role focused on securing and maintaining the reliability of a large-scale fintech platform operating in hybrid cloud environments. The position emphasizes Kubernetes and container security, SIEM management, CI/CD protection, and automation using Python and infrastructure-as-code tools. Candidates will work on mission-critical distributed systems, ensuring regulatory compliance and resilient security operations at scale. 🗂️ Requirements: Experience securing hybrid AWS/on-premises environments, Strong proficiency in Python, Strong proficiency in Terraform, Strong proficiency in Puppet, Deep expertise in Kubernetes, Experience with container security, Hands-on experience with GitHub Actions, Experience with Prometheus, Experience with Grafana, Experience with CloudWatch, Experience with Karma, Experience managing and integrating Wazuh, Experience with security scanning tools (Semgrep, Trivy, Falco), Experience with IAM and security posture management, Ability to comply with PCI and NIST CSF standards, Located in SF Bay Area or willing to relocate 📃 Skills: AWS, IAM, Python, Terraform, Puppet, Kubernetes, Docker, GitHub, Prometheus, Grafana, CloudWatch, Karma, Wazuh, Semgrep, Trivy, Falco, PCI, NIST, CI/CD 🏢 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: The Cybersecurity / SRE team is focused on ensuring the security and reliability of X Money. This role will primarily focus on the X Money platform but will also cross over with the X Social platform. The ideal candidate will have experience in the banking, money transmission, and P2P payments industry. We emphasize working with large distributed systems and security platforms at scale, with an automation-first mindset. You'll be responsible for securing and maintaining the reliability of X Money's infrastructure. You'll work closely with cross-functional teams to enhance security measures, improve system resilience, and implement best practices. RESPONSIBILITIES: - Build and secure mission-critical applications in a hybrid cloud environment. - Manage identities and roles effectively. - Monitor and remediate infrastructure to comply with regulations and best practices (e.g., PCI, NIST CSF). - Maintain a SIEM and all data pipelines needed for reliable alerting. - Design and implement secure container standards and automation to enable frictionless developer workflows. - Maintain Kubernetes security aligned with current best practices. - Build, deploy, and maintain security operations infrastructure using Python, Terraform, and Puppet. - Secure and enhance CI/CD pipelines. - Integrate and maintain code scanning platforms. - Develop dashboards and alerts from security metrics. - Own security projects: identify issues and implement solutions. - Apply critical analysis and problem-solving skills. BASIC QUALIFICATIONS: - Proven experience securing hybrid AWS/on-premises environments, including IAM and overall security posture. - Strong proficiency in Python, Terraform, and Puppet. - Certifications like CISA, CRISC, CGEIT, Security+, CASP+, or similar preferred. - Deep expertise in Kubernetes and container security. - Hands-on expertise building GitHub Actions and workflows. - Extensive experience with Prometheus, Grafana, CloudWatch, and Karma. - Well versed in management and integrations of Wazuh. - Hands-on experience with security scanning tools (Semgrep, Trivy, Falco). - Proactive mindset with strong ownership and problem-solving skills. - Excellent critical thinking and analytical abilities. - Located in the SF Bay Area or willing to relocate. COMPENSATION AND BENEFITS: $180,000 - $440,000 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. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.