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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 engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role The reasoning team at xAI creates magical AI experiences beyond text, enabling the understanding and generation of content across various modalities, including image, video, and audio. Our team is pushing the frontier of multimodal intelligence through Grok Voice, our advanced multimodal AI assistant that is able to listen, see, and respond to you in real time. We actively work to develop novel audio and video understanding capabilities that solve user problems in both the physical and digital worlds. As a Researcher & Engineer on the Reasoning team specializing in real-time audio and video, you'll lead the advancement of multimodal capabilities across data, modeling, serving infrastructure, and product integration. Collaborating closely with pre-training, post-training, and product teams, you'll drive innovations that expand the boundaries of model performance and elevate end-to-end user experiences. Ideal candidates thrive at the intersection of cutting-edge research and engineering. What You'll Do Research, design, and implement algorithms to enhance audio and video understanding and generation, whether through developing new models, systems, or tools. ​​Collaborate closely with product and engineering teams to carry multimodal capabilities from initial concept through production deployment, proactively monitoring and addressing issues along the way. Improve data quality by curating robust datasets, developing data filtering and generation techniques, building scalable data pipelines, and analyzing user interactions to inform product improvements. Create evaluation frameworks, internal benchmarks, and metrics to systematically measure and improve real-world model performance, proactively identifying and resolving user-facing challenges. Manage the complete experimental lifecycle: from designing experiments and training models to deployment and iterative refinement based on feedback and data. Ideal Experience You're an exceptional candidate if you have some (or all) of the following: A proven track record of leading research or engineering efforts that have significantly enhanced neural network capabilities and performance. Hands-on experience building and deploying large-scale distributed machine learning systems and backend services. Expertise in reinforcement learning, agentic models, or real-world multimodal AI applications. Strong engineering skills combined with the ability and enthusiasm to rapidly navigate and master complex, unfamiliar codebases. Demonstrated excellence in systematic experiment design, model debugging, performance analysis, and iterative improvements. A pragmatic, execution-oriented approach: you proactively solve problems and prioritize getting things done efficiently. Location The role is based in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview ("phone interview") during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: One-on-one research discussion & coding interviews (three meetings total) Project deep-dive: Present your past exceptional work and your vision with xAI to a small audience. Every application is reviewed by a member of our technical team. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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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 engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Team The AI search team aims to make Grok the best AI system for research, information retrieval and gathering real-time information from various sources. The team is responsible for curating high quality data and hard problems for RL training, making evaluations to benchmark AI systems and capture product issues, and building tools to unleash the capabilities of reasoning models. About the Role In this role you might: Build evaluation benchmarks to the next generation of search/research agents. Innovate and curate challenging RL data with scalable synthetic/human data pipeline Innovate data, verification and RL algorithms to build the best open-ended research system. Build various tools to help model exploring seamlessly on the internet. Exceptional candidates may have: Experience with LLM and information retrieval evaluation data curation Experiences with human/synthetic data generation for RL Experience with AI search or Agentic search systems Strong engineering abilities Location The role is based in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. Researcher technical sessions (2): These sessions will be testing your ability to formulate, design and solve concrete problems in real world with LLM. It can be research or engineering, depending on background/experience. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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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 engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Team The Reasoning Efficiency team at xAI focuses on pushing the boundaries of cost-efficient intelligence.   About the Role In this role you will: Build the next generation of Multimodal Grok that excels at reasoning, tool usage to solve challenging problems Work across the LLM stack (pre-training, SFT, RL) to deliver the strongest model for end users Exceptional candidates may have: Experience or publications in (multimodal) large language models (data / training algorithm / architecture) Exceptional engineering skills to iterate quickly on the data processing and training pipelines Strong understanding of large language model and data Deep knowledge of reinforcement learning techniques Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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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 engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Team The AI Expert team strives to make AI models excellent in scientific and professional domains, such as math, engineering, biology, medicine, and finance. This team will build AI experts in an end-to-end manner, including building model evaluation, curating training data, and developing training recipes. About the Role In this role you might: Innovate next-generation RL algorithms to unleash AI abilities in open-ended science research and real-world professional work. Build evaluation for AI models in expert domains Build RL data infrastructure and generate training data. Exceptional candidates may have: Strong engineering abilities Experience with data collection and data generation for LLMs Optional: Experiences with cross-domain experiences Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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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 engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Team The Grok Code Team at xAI focuses on pushing the boundaries of Software Engineering where AI is in the front and centre of the full developer loop. About the Role In this role you will: You will build the best in class Coding Agents focussing on building the best in class Software Engineering stack which is AI first and AI native. Work across the LLM stack (reasoning RL, product building, dataset generation, evals) to deliver the best product experience for users. Work closely with the research team and help drive model development and feedback loops to optimise both the model behavior and user experience and satisfaction Exceptional candidates may have: Experience in developer tooling with AI first mindset for the changing world. Exceptional engineering skills to iterate quickly on the data processing and product features Strong understanding of large language model and how to best leverage them for AI assisted software development Deep knowledge and “taste” in software developer tooling Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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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 engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Team The Reasoning Efficiency team at xAI focuses on pushing the boundaries of cost-efficient intelligence. About the Role In this role you will: Build the next generation of Grok Mini - highly efficient reasoning models with frontier-level performance  Innovate scalable techniques to maximize intelligence per dollar Work across the LLM stack (reasoning RL, pretraining, serving) to deliver the strongest model for end users Exceptional candidates may have: Experience or publications in efficient algorithms for large language models (data / training algorithm / architecture) Exceptional engineering skills to iterate quickly on the data processing and training pipelines Strong understanding of large language model scaling laws  Deep knowledge of reinforcement learning techniques Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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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 engineers and researchers 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 AI Engineer & Researcher - Product Analytics & Experimentation Design at xAI, you will be at the forefront of transforming user feedback and behavioral data into actionable insights that drive rapid product evolution. This role combines deep expertise in mathematics, statistics, and creative problem-solving to dissect complex, noisy signals from our AI systems—such as production logs, user interactions, and engagement metrics—without directly training models. You'll design clever experiments to test hypotheses, quantify what users love or loathe about our products, and recommend precise course corrections to enhance satisfaction and performance. By accelerating iteration cycles through smart experimentation, you'll empower our teams to make data-informed decisions that keep our AI at the cutting edge of user delight. Focus User Insight Extraction: Dive into production logs and behavioral data to identify patterns of dissatisfaction, using mathematical and statistical tools to distill why users may not engage with or appreciate aspects of our AI models. Experimentation Design: Craft and execute fast-paced experiments, such as A/B tests or multivariate trials, to validate hypotheses on product features and measure their impact on user experience. Noisy Signal Analysis: Apply advanced stats and creative analytical techniques to interpret ambiguous data streams, uncovering hidden correlations and causal factors that inform product improvements. Actionable Recommendations: Synthesize findings into clear, evidence-based strategies for product decisions, prioritizing quick wins and long-term enhancements to boost model usability and appeal. Rapid Iteration: Optimize experimentation pipelines for speed, enabling frequent testing and refinement cycles that allow the team to pivot based on real-time user signals and evolving needs. Ideal Experience Mathematical and Statistical Mastery: Profound skills in math, probability, statistics, and inference, with a proven ability to apply them creatively to real-world problems in dynamic tech environments. Experimentation Expertise: Hands-on experience designing and analyzing product experiments (e.g., A/B testing, causal inference), with a track record of accelerating iteration in AI or software products. Analytical Creativity: Demonstrated talent for teasing insights from noisy, high-volume data sources like logs and metrics, leading to innovative solutions that address user pain points without model training. Product Decision Support: Background in using data-driven methods to guide strategic choices, such as identifying suboptimal features and proposing fixes in fast-paced settings. Collaborative Agility: 3+ years in AI engineering or research roles at innovative companies, where you've balanced technical rigor with creative thinking to deliver quick, impactful iterations. Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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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 engineers and researchers 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 AI Engineer & Researcher - HCI / Model Designer at xAI, you will play a pivotal role in bridging the gap between cutting-edge AI models and exceptional user experiences. This position sits at the intersection of human-computer interaction (HCI), AI engineering, and model design, where you'll collaborate with cross-functional teams to reimagine how users engage with our AI systems. Your work will focus on elevating the intuitiveness, clarity, and delight of interactions, ensuring that complex AI capabilities are presented in ways that feel natural, insightful, and empowering. With a keen eye for user-centric design, you'll iterate on interfaces, information architectures, and visualization techniques to make our models more accessible and transparent—ultimately helping users unlock the full potential of AI in their daily lives. Focus Enhance User Interactions: Design and implement intuitive interfaces that improve how users query, receive, and iterate on responses from our AI models, prioritizing seamless and engaging experiences. Information Organization and Display: Develop strategies for structuring and presenting AI-generated content, ensuring clarity, hierarchy, and relevance to help users quickly grasp key insights without overwhelm. Innovate on Agent Transparency: Create novel ways to visualize and convey the internal reasoning processes of AI agents, such as step-by-step thought traces or dynamic feedback loops, to build trust and understanding. Prototyping and Iteration: Rapidly prototype new HCI features for AI interfaces, incorporating user feedback and A/B testing to refine how models deliver value in real-world scenarios. Cross-Disciplinary Collaboration: Work closely with AI researchers, engineers, and product teams to integrate HCI principles into model training and deployment, fostering innovations that align technical capabilities with human needs. Ideal Experience HCI and UX Expertise: Proven track record in human-computer interaction, user experience design, or related fields, with a portfolio demonstrating high-taste designs for complex systems—ideally in AI or tech products. AI/ML Engineering Background: Hands-on experience building or fine-tuning AI models (e.g., LLMs, agents), combined with skills in software engineering (Python, frontend frameworks like React) to prototype and deploy interactive AI features. Research Acumen: Experience conducting user studies, A/B experiments, or HCI research, with publications or projects in areas like AI explainability, information visualization, or conversational interfaces. Creative Problem-Solving: Demonstrated ability to innovate on information display and agent transparency, such as designing tools for reasoning visualization or adaptive UIs, with a strong aesthetic sense for what "feels right" to users. Collaborative Mindset: 3+ years in fast-paced environments, preferably at AI startups or tech companies, where you've balanced technical depth with user empathy to deliver impactful solutions. Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our Vernon, CA Data Center 5 days per week.What You'll DoEnsure new server, storage and network infrastructure is properly racked, labeled, cabled, and configuredTroubleshoot hardware and software issues in some of the world’s most advanced systemsDocument data center layout and network topology in DCIM softwareWork with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deploymentsManage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centersWork closely with HW Support team to ensure data center infrastructure-related support tickets are resolvedWork with RMA team to ensure faulty parts are returned and replacements are orderedFollow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centersYouAre familiar with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable managementAre someone who pays attention to detail and has the ability to follow instructionsAre action-oriented and have a strong willingness to learnAre willing to travel for bring up of new data center locationsNice to HaveExperience with troubleshooting server hardwareExperience with Linux administrationExperience with working in large-scale distributed data center environmentsExperience Supermicro & Nvidia hardwareSalary Range InformationBased on market data and other factors, the annual salary range for this position is $86,000-$111,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Location 📍: Sydney, NSW (Hybrid)About Us 🚀At Relevance AI, our mission is to empower anyone to delegate work to the AI workforce.We’re building a new type of automation platform, for anyone to create and use AI agents that can replicate human quality work, decision making and collaboration.We are scaling fast to meet unprecedented customer demand and we need exceptional talent to help us grow. If you’re ready to be part of a trailblazing company at the cutting edge of AI, this is the place for you.The Role 🥳As our Lead Solutions Engineer, you’ll take on a pivotal leadership role within our Sydney-based Solutions Engineering team. You’ll guide a growing team of SEs across both pre-sales and post-sales phases - supporting enterprise clients and delivering impactful AI agent implementations.You will provide mentorship, team oversight, and technical leadership, while ensuring seamless project delivery and operational coordination. This role is ideal for someone ready to step beyond senior individual contributor work into a role that shapes team culture, scales process, and drives strategic delivery.Your impact💥Lead the day-to-day operations of the Sydney Solutions Engineering team, including project oversight, cross-functional alignment, and knowledge sharing.Support pre-sales and post-sales activities, guiding customer engagements from discovery to successful AI agent implementation.Serve as a technical and strategic mentor, ensuring consistent upskilling and alignment across the team.Onboard new team members and develop structured onboarding processes to scale our SE team effectively.Act as the go-to pulse-check for team health and delivery cadence - proactively resolving blockers, balancing workloads, and reporting operational status.Drive hands-on impact by joining key customer projects, accelerating implementations and technical success.Coordinate with leadership to help prioritize projects and improve internal tooling, processes, and delivery frameworks.Conducting weekly team check-ins and fostering a culture of support and excellence.What We’re Looking For 🧠5+ years in solutions engineering, technical consulting, or forward-deployed engineering - especially in automation, AI, or SaaS environments.Proven leadership experience, including team mentorship, reporting, and operational oversight.Expertise in AI agents, automation platforms, or workflow orchestration. Experience in both pre-sales and post-sales contexts is highly valued.Strong technical fluency with Python, APIs, and LLM prompting - you can handle implementations hands-on and troubleshoot efficiently.A collaborative, customer-first mindset, with exceptional communication and problem-solving abilities.Ability to translate complex technical concepts into strategic value for business stakeholders.Comfort working in a fast-paced, high-growth startup environment with rapidly shifting priorities and team dynamics.Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterate extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits💥🌴 4 Weeks Annual Leave – Take time to recharge with 20 days of paid vacation📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍱 Team Meals – Enjoy free Friday lunches, Uber Eats dinners, and regular catered office lunches🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. A few clubs we already have are hiking, chess, and board game nights. We also have a social committee you can join—new ideas are always welcome!🍿 Snacks & Drinks Galore – Stay energised with a wide selection of snacks and a fully stocked fridge of drinks in the office🌐 Community Events – As the home of the AI workforce, we regularly host events featuring thought leaders, industry partners, and the wider community—right at our office, so you can join straight after work🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doAs one of our early legal hires, you will have the opportunity to join a small but high-impact legal team at an early stage. We are looking for someone who has deep expertise in commercial contracts, but also someone who is also eager to broaden their scope across IP, regulatory, and product. You will thrive in dynamic environments, enjoy tackling challenges beyond your comfort zone, and be excited to contribute across the business. In return, we’ll provide the support and opportunities you need to grow and excel as a lawyer. You’ll be part of a legal team that is highly respected within both the company and the broader legal industry—committed to excellence, collaboration, and making a meaningful impact.Commercial Contracting: Structure, negotiate and advise on all commercial contracts, including SaaS subscription agreements, technology licenses, professional services agreements, channel partner agreement, vendor agreements and NDAs. Commercial privacy and security contracting experience (e.g., DPAs, BAAs, security agreements) is a plus.Operational Excellence: Help build out our commercial function to be best in class. We aim to be the fastest and strongest, where the legal team is the differentiator in the contract lifecycle. You will be developing templates, playbooks, and workflows to drive efficiency and scalability.Expertise: Deep knowledge of practice areas that underpin the commercial practice, including contract law, IP and privacy. You will also want to work in AI and understand the nuances of law as it relates to AI, including the evolving regulatory frameworks. You will be expected to advise broadly on all contractual issues and be comfortable doing so.Teamwork: A team player first and foremost. Sierra is a unique place to work, with a strong sense of togetherness, and the legal team is no exception. You will look out for your colleagues, be accustomed to sharing and helping the team succeed. As the team grows, you will train and mentor more junior members.Judgement: Understand risk in the context of a hyperscaling business, have sound judgement and be strategic in your decision making. You will not be afraid to make judgement calls, and you will be empowered to do so.Approach: A strong work ethic with an eye for detail. You will strive for perfection, and expect that of others.Collaborate: Collaborate cross-functionally with Sales, Operations, and Agent Development teams to support revenue growth and strategic business initiatives.What you’ll bring6+ years of legal experience, with a combination of both large law firm and in-house experience at a tech company. A strong background in negotiating and managing complex commercial contracts, preferably in SaaS, AI, or enterprise software.Strong communication skills (verbal and written) and the ability to partner with both legal and non-legal stakeholders.A proactive mindset and the ability to navigate ambiguity in a fast-paced, dynamic startup environment.Even better…Experience of privacy/regulatory frameworks and can advise on data processing agreements and security-related contract provisions.A passion for AI, with a deep understanding of AI products, LLMs and the related legal issues.Significant law firm experience at a top-tier, internationally recognized law firm.Experience working at a high-growth startup and operating with a sense of ownership.Industry specific knowledge in any of the following: Financial Services, Healthcare, Telecoms, Insurance and/or Consumer.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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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 engineers and researchers 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 AI Engineer & Researcher - Reasoning Post-training at xAI, you will drive the evolution of our AI models' reasoning capabilities through inventive post-training approaches, embracing a broad scope that spans from conceptual exploration to practical implementation. This role demands a blend of technical depth and boundless creativity, where you'll refine pre-trained models to excel in logical inference, multi-step problem-solving, and adaptive thinking—without delving into initial training phases. By devising unconventional techniques and fostering creative breakthroughs, you'll help our AI systems tackle complex, real-world challenges with unprecedented intelligence and reliability, collaborating across teams to turn bold ideas into transformative enhancements. Focus Post-Training Optimization: Apply and innovate on post-training methods like fine-tuning, reinforcement learning variants, or data augmentation to sharpen reasoning skills, ensuring models deliver more accurate, coherent, and insightful outputs. Creative Methodology Design: Invent novel strategies for enhancing reasoning, such as custom prompting frameworks, synthetic reasoning datasets, or hybrid techniques that push the limits of model cognition through out-of-the-box thinking. Problem-Solving Exploration: Tackle broad reasoning challenges creatively, from debugging logical inconsistencies to engineering solutions for edge-case scenarios, using iterative experimentation to uncover hidden potential in models. Evaluation and Iteration: Develop creative benchmarks and metrics to assess post-training impacts on reasoning, enabling rapid cycles of refinement that align with evolving user needs and technological frontiers. Collaborative Innovation: Partner with diverse teams to integrate post-training advancements into our AI ecosystem, leveraging your creativity to inspire cross-pollination of ideas and accelerate overall model intelligence. Ideal Experience Post-Training Specialization: Extensive hands-on experience with post-training techniques (e.g., RLHF, DPO, or alignment methods) focused on reasoning improvements, with a portfolio of successful model enhancements. Creative Problem-Solving Prowess: Demonstrated ingenuity in solving ambiguous AI challenges, evidenced by innovative projects, research contributions, or unconventional approaches that yielded breakthroughs. Broad Technical Foundation: Proficiency in AI engineering tools (e.g., Python, PyTorch) and a solid grasp of model architectures, enabling you to navigate wide-ranging tasks from ideation to deployment. Research Versatility: Background in AI research with emphasis on reasoning, logic, or cognitive science, including publications or experiments that highlight creative applications in post-training contexts. Adaptable Expertise: 3+ years in multifaceted AI roles at cutting-edge organizations, where you've thrived in broad scopes by balancing creativity with rigorous execution to deliver high-impact results. Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. We are seeking a highly motivated Mechanical Design Engineer with a strong background in electric motor component design. You will be part of a fast-paced, cross-functional team building compact, high-performance actuators for a new class of humanoid robots. This role is ideal for an engineer with a few years of industry experience who thrives in a hands-on environment and is passionate about precision mechanical design, material selection, and rotor dynamics. Responsibilities: Own the mechanical design of motor subcomponents including rotor and stator laminations, shaft assemblies, and magnet retention structures Design, release, and iterate complex lamination stacks for high-efficiency, high-speed permanent magnet motors Collaborate closely with the electromagnetic, thermal, and control teams to ensure mechanical solutions meet overall system requirements Work on magnet selection and adhesive strategies for permanent magnet rotors, with a focus on structural integrity and manufacturability Perform structural FEA for rotor stress and rotor dynamics (burst speed, critical speed, balancing strategy) Drive motor CAD in CATIA and manage BOMs and drawing packages from prototype to production Oversee and support motor rotor balancing (static and dynamic) Interface with vendors for lamination, shaft, and magnet sourcing and fabrication Requirements:  Bachelor’s degree in Mechanical Engineering 2+ years of experience in mechanical design, preferably involving electric motors or rotating machinery Strong fundamentals in stress analysis, material selection, and tolerance stack-ups Experience designing for high-speed rotating systems, including consideration of burst strength and rotor balancing Proficiency in CAD tools, preferably CATIA V5 or V6 Knowledge of adhesives, magnet bonding, and rotor manufacturing best practices Strong communication skills and a team-first mindset Bonus Qualifications:  Master’s degree in Mechanical Engineering with a focus on dynamics, materials, or electromechanical systems Prior experience designing SPM (surface permanent magnet) rotors and stators Hands-on experience with motor prototyping and test setups Familiarity with FEA tools like Ansys Mechanical or Abaqus Understanding of manufacturing processes such as lamination stamping, shrink fits, and adhesive curing The US base salary range for this full-time position is between $130,000 and $160,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

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Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. The Quality Technician will verify that incoming and in-process material meets Figure AI drawings and specifications. They will be responsible for the inspection of material and the coordination of MRB activities, including data input, reporting, and logistics associated with material dispositions. This person will also administer the calibration system, ensuring that measuring and test equipment is within its calibration due date. The Quality Technician will work closely with Quality Engineering to provide reports, charts, graphs, etc., to monitor and improve product quality. The successful candidate must have the ability to meet tight deadlines, possess strong interpersonal and communication skills, be detail-oriented, and be able to work independently. The candidate must establish and maintain a professional working relationship with line supervisors, operators, and other shop floor stakeholders. Responsibilities:  Inspection/verification of in-process Figure AI-built material Manage nonconforming material through the MRB process to ensure that nonconforming material is identified, appropriately dispositioned, tracked, and reported Take the lead on initiating containment activities for production quality issues Conduct root cause investigation and resolution of daily production and scrap material quality issues Provide data input and output reports to assist in quality improvement activities Coordinate calibration activities for go/no-go gauges and other quality tools used in the production process Provide mechanical measurement support to identify or solve potential material issues for production parts Actively support getting parts measured for FAI purposes Requirements:  3–5 years of experience in a Manufacturing Quality Control environment Knowledge of ISO 9001:2000 or TS16949 is a plus Ability to read and interpret basic mechanical drawings Able to use basic measurement tools such as pin gauges, bore gauges, calipers, and micrometers Proficient in Microsoft Office or Google Suite Must have command of the English language, both written and verbal The US base salary range for this full-time position is between $35 - $50/hr.  The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

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Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role The IQ Design team is dedicated to creating simple, delightful, and transformative user experiences. We're seeking a Senior Design Engineer who bridges the gap between design vision and technical reality, bringing ideas to life through functional prototypes and polished production code. You'll work across teams and disciplines, collaborating with designers and engineers throughout HP IQ to explore new possibilities and ship experiences that feel like natural extensions of the human experience. As a Senior Design Engineer, you'll alternate between rapid experimentation and careful implementation. One day you might be prototyping a new interaction pattern for a hardware device; the next, you might be refining the animations that make our software feel alive. Success in this role requires both technical excellence and design sensibility. You should be equally comfortable debating typography choices and optimizing render performance. We're looking for someone who gets excited about the craft of building software, who sees code as a design material, and who believes the best way to evaluate an idea is to build it. You'll have the freedom to explore your own concepts while also serving as a technical partner to designers bringing their visions to life. What You Might Do Build functional prototypes that explore new interaction paradigms across hardware and software Translate design concepts into high-fidelity, interactive experiences using modern technologies Contribute production-ready code that emphasizes craft, performance, and delight Partner with designers to rapidly iterate on concepts, building multiple variations to find what feels "just right" Experiment with AI technologies and find innovative ways to integrate them into user experiences Collaborate across teams to ensure design intent carries through to shipped products Explore emerging technologies and find unexpected applications for real-world problems Mentor other engineers on design thinking and help designers level up their technical skills Shape technical standards and best practices for interface development Essential Qualifications 6+ years building digital products, with a portfolio demonstrating both technical excellence and design craft Fluency in contemporary development frameworks and languages, with the ability to choose the right tool for each prototype or product need Comfortable working in Figma and other design tools to understand intent and collaborate on solutions Has shipped production applications or experiences at scale and refined them based on real user behavior and feedback Experience with creative coding and building interactive prototypes that push beyond conventional interfaces Proven track record of technical leadership and collaborating effectively with designers and cross-functional teams Curiosity and resourcefulness when learning new technologies Deep appreciation for the nuances that make interfaces feel good to use Preferred Skills Experience with native development (SwiftUI, React Native, Compose) or game engines for prototyping Familiarity with AI technologies (LLMs, embeddings, vector databases) and their practical applications Background in creative tools like Processing, p5.js, Three.js, or experience with motion graphics, animation systems, and breathing life into interfaces Experience building design tools, component libraries, or developer-facing systems Understanding of motion design and animation principles Interest in bridging digital and physical experiences Side projects that show experimental thinking or unique approaches to problems Experience working in design-led organizations or as part of integrated design & engineering teams We request that you submit a portfolio showcasing 2-3 projects that demonstrate your ability to bridge design and engineering. This could include functional prototypes, production features you've shipped, or personal experiments. We're particularly interested in seeing your process—how you think through problems, iterate on solutions, and make decisions about implementation details that impact the user experience. Salary: $175,000- $250,000Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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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 engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role xAI is seeking talented researchers and engineers to improve the safety of our AI systems and ensure that they are maximally beneficial for society. In this role, you will work toward measuring and architecting the behavior of our frontier AI systems across a wide variety of safety-relevant areas such as truth-seeking and deception. You will work across all stages of the model development pipeline, from collaborating with legal and product teams to iterate on policy guidelines, building new benchmarks to quantify novel behaviors, running human data collection projects, experimenting with novel post-training and reasoning training recipes, and shipping product updates to millions of users around the world. Focus Candidates for this role may focus on one or more of the following: Ensure truth-seeking behavior by Grok even in adverse situations Measuring and steering Grok’s propensities for deception, sycophancy, and power-seeking Developing and enforcing clear, consistent policy guidelines across models and products Building ecologically valid benchmarks to assess agentic propensities and capabilities Ideal experience The ideal candidate: has strong software engineering skills, has a background in post-training or evaluating frontier AI systems, is a team player and willing to pick up new skills to get the job done. Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. Researcher technical sessions (2): These sessions will be testing your ability to formulate, design and solve concrete problems in real world with LLM. It can be research or engineering, depending on background/experience. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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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 engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role xAI is seeking talented researchers and engineers to improve the safety of our AI systems and ensure that they are maximally beneficial for society. In this role, you will develop AI security systems to mitigate safety risks arising from both misuse and misalignment. You will work across all stages of the model development pipeline, from collaborating with legal and product teams to iterate on policy guidelines, researching and quantifying novel safety threats, running human data collection projects, experimenting with novel post-training and reasoning training recipes, and analyzing the usage patterns of millions of users around the world. Focus Candidates for this role may focus on one or more of the following: Mitigating the potential for catastrophic misuse (e.g. chemical or biological weapons, large-scale cyber attacks) Improving adversarial robustness to emerging attack techniques Developing new approaches to secure tool use against prompt injection attacks Building automated systems to continually red team models and products Ideal experience The ideal candidate: has strong software engineering skills, has a background in post-training or evaluating frontier AI systems, is a team player and willing to pick up new skills to get the job done. Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. Researcher technical sessions (2): These sessions will be testing your ability to formulate, design and solve concrete problems in real world with LLM. It can be research or engineering, depending on background/experience. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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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 engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Team Reasoning infrastructure team at xAI builds an end to end RL training framework to enable pretrain scale RL. About the Role In this role you might: Design and implement state-of-the-art distributed RL systems Profile, debug, and optimize system performance Software and algorithm co-design with researchers Ideal Experience Experience building, debugging, and optimizing large scale distributed training systems Experience building async RL training frameworks Experience in inference systems Proficiency in Python, Jax, or Rust Exceptional candidates may have: PhD with AI or other scientific domains Strong knowledge of reinforcement learning techniques Experience building infra for large-scale reinforcement learning and multi-agent reinforcement learning Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. Researcher technical sessions (2): These sessions will be testing your ability to formulate, design and solve concrete problems in real world with LLM. It can be research or engineering, depending on background/experience. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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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 engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Team The agent team at xAI makes AI models generalizable and capable of solving real-world challenges. About the Role In this role you might: Develop realistic agent environments and evaluation methods. Design RL algorithms for agent to learn by interacting w/ realistic environments Collecting and curating human and synthetic data to improve the capability and behavior of agent systems. Exceptional candidates may have: PhD with AI or other scientific domains Strong knowledge of reinforcement learning techniques Experience building infra for large-scale reinforcement learning and multi-agent reinforcement learning Location The role is based in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. Researcher technical sessions (2): These sessions will be testing your ability to formulate, design and solve concrete problems in real world with LLM. It can be research or engineering, depending on background/experience. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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The Business Development Manager - Europe (Central Europe) will be responsible for building Shield AI’s business opportunities primarily in Central Europe focused on orders execution and growth. He/she will be responsible for engaging with customers, attending events, and product demonstrations. This person will operate on a small team with a demanding work and travel schedule and a very high level of responsibility and accountability to perform and deliver results, but will undoubtedly have the opportunity to make an outsized impact and become a major contributor to the company WHAT YOU'LL DO:Engage with customers regularly to present and discuss Shield AI productsAttend trade shows, exhibitions, or other industry events to espouse Shield AI productsDevise and coordinate marketing and government relations opportunitiesBuild and devise the structure of industry partnershipsPlan and execute product demonstrationsWork cross-functionally to provide responses to or address customers needsLead proposal responseDevelop offset strategies REQUIRED QUALIFICATIONS:Willing to remain in or expatriate to Europe (minimum two-year overall expat assignment)Exceptional communicator: strong written, verbal, and presentation skills and the ability to communicate seamlessly at all levels of business and governmentCharismatic leader, with the ability to motivate and inspire others and impart excitement about Shield AI’s mission, technology, and productsDesire to help build the defining defense technology company of this centuryThorough understanding and knowledge of the military operations and the acquisition process that allows you to maintain strong customer relations>6 Years of relevant military or prior defense industry or other international business experienceSelf-motivated and results-oriented, with demonstrated success in meeting and exceeding critical goals and deadlinesStrong international relationships and demonstrated ability to work well across and with various cultures, customs, etc.Strong technical knowledge within the UAV and/or AI disciplines (or demonstrated desire ability to learn quickly)Willing and able to travel internationally, frequently and without restriction, including customer sitesTeam oriented with the ability to communicate with a understanding of nuances associated with being collaborative while also being blunt and forthrightTechnically competent in the myriad of systems that are required to function at the speed of businessBachelor’s Degree or appropriate military education PREFERRED QUALIFICATIONS:Specific strategy or business development experience in EuropePrior UAV or AI business development experience in a defense-related contextProven leadership and/or operational experience within the DoD or international equivalents (e.g., MoD)Demonstrated understanding of specific Army/Navy/etc. operational scenarios and systemsStrong research and analysis skillsRelevant Foreign Language Skills (e.g., European languages)