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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 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 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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At Scale AI, we are not just building AI tools. We are pioneering the next era of enterprise AI. As businesses rush to harness the potential of Generative AI, Scale is leading the way, transforming workflows, automating complex processes, and driving real-world impact for the world’s largest enterprises and government organizations. Our Scale Generative AI Platform (SGP) powers production-grade GenAI applications with foundational services, APIs, and infrastructure that accelerate adoption across industries. As more of these applications go into production, we are expanding our Forward Deployed Engineering (FDE) team to drive hands-on innovation where it matters most: in our customers' environments. We are looking for a technical and strategic Engineering Manager to lead our European FDE team. This is a high-ownership role at a pivotal moment. You will be responsible for delivering high-impact GenAI solutions in production, leading a team that works directly with customers, and ensuring we solve real problems with clarity, speed, and excellence. Why this role is unique: Right place, right time: We are moving from prototypes to production at scale. Our FDE team is on the front lines of this transition, helping customers adopt AI faster and with more confidence. Customer-first mindset: You will foster a culture of deep customer empathy and practical problem-solving. From scoping use cases to shipping solutions, your team will be responsible for every step of the delivery lifecycle. Strategic influence: The lessons from forward-deployed efforts directly inform our core product roadmap. You will work closely with Product and Platform teams to identify patterns, prioritize improvements, and shape the evolution of SGP. Operational excellence: You will bring structure to delivery, improve execution, and scale our engineering operations in a fast-moving environment. This is a rare opportunity to help define how the next generation of AI applications is built and deployed. If you are excited by the pace of innovation in GenAI, passionate about solving real-world problems, and ready to lead a team that is redefining enterprise AI delivery, we want to hear from you. At Scale, we do not just follow AI breakthroughs. We deliver them. Join us and be part of the team shaping the future of AI in the enterprise. You Will: Lead, mentor, and grow a high-performing team of forward deployed engineers supporting enterprise GenAI initiatives Set clear technical direction and foster a culture of ownership, speed, and trust Work hands-on with customers to deeply understand and solve complex business and technical challenges Scope, deliver, and guide the adoption of solutions by embedding directly with customer teams Make smart tradeoffs between speed, scope, reusability, and bespoke solutions Drive technical decisions and help the team navigate system integrations and architecture choices Shape the product roadmap by translating customer needs into scalable platform improvements Build internal tooling and shared capabilities to accelerate delivery across diverse use cases Collaborate across engineering, product, and customer teams to streamline execution and reduce friction Ensure fast, high-quality delivery of features, experiments, and customer launches Provide strategic clarity to your team and attract, hire, and retain world-class engineering talent   Ideally, You Have: 3–5+ years of engineering management experience, ideally in high-growth tech environments with direct customer engagement A strong engineering background and a track record of leading technical teams to deliver impactful products Hands-on experience building or deploying AI-powered systems, with an understanding of how model behavior shapes user experience A deep interest in Generative AI and a belief in its potential to transform enterprise workflows Proven ability to make fast, sound decisions in high-pressure or ambiguous situations The leadership presence to earn trust and respect from engineers, peers, and senior stakeholders Strategic thinking with a clear ability to turn business goals into actionable engineering plans Operational rigor in planning, prioritizing, and delivering complex software systems at scale Experience with cloud infrastructure (AWS, GCP, or Azure), DevOps, and scalable platform architecture Strong communication and collaboration skills, with the ability to align cross-functional teams toward common goals PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Your New Role and TeamSanctuary AI, a world leader in building AI-based control systems for humanoid robots, is looking to hire a Director, Product Development & Management to join our team. Reporting to the Chief Product & Technology Officer, this pivotal role will oversee the product management group, driving the development and execution of our product strategy. This role is ideal for a visionary leader who combines deep industry knowledge with a passion for innovative solutions.  Our Success CriteriaWork with leadership to develop and implement a comprehensive product strategy and roadmapLead, mentor, and develop a team of product and program managers, fostering a high-performance culture that delivers on ambitious goalsAlign product development initiatives with business goals and market needsThrive in ambiguity and bring structure to complexity. You’ve built processes, not just followed themSupport the product development team, ensuring timely delivery of high-quality productsCommunicate product vision, strategy, and progress to senior management and stakeholdersOversee the end-to-end product development lifecycle, from ideation to launchCollaborate with engineers, designers, and other technical teams to develop product specifications and ensure feasibilityUnderstand and contribute to the technical aspects of product developmentEnsure the product meets technical specifications and performance standardsDefine and track key performance indicators to measure successGather and analyze data to make informed decisions and drive continuous improvementManage product lifecycle, including updates, improvements, and end-of-life strategiesCollaborate with cross-functional teams (including engineering, marketing, sales, and customer support) to guide products from conception to launch Your ExperienceQualificationsDegree in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related field, OR equivalent experience in Technology Development and Productization  A minimum of 7+ years of experience leading cross-functional teams in the development of intelligent hardware systems such as robotics, automated machinery, or sensor-based platforms, with supporting experience in AI or real-time control softwareUnderstanding of machine learning, artificial intelligence, or robotics and their applications in a variety of industriesStrong leadership skills, with the ability to inspire and guide a team towards achieving strategic objectives; lead through dotted line relationships and cross functional collaborationExcellent communication and negotiation skills, with a knack for building and maintaining strong professional relationshipsStrategic thinker with an analytical mind, capable of making data-driven decisions and identifying new opportunities for innovation and collaboration SkillsIn-depth understanding of product development processes and technologiesAbility to guide and support the technical teamThe ability to articulate complex technical concepts and strategic visions clearly and persuasively to a diverse range of stakeholders, from technical experts to non-technical partnersInnovative mindset with an applied research orientationThe capacity to lead, motivate, and unite teams and partners around shared goals TraitsA consistently positive attitude and a willingness to do whatever it takes to create robust solutions to mission objectivesEmpathetic listener with conflict resolution capabilitiesConsistent bias for action, communication, and interpersonal savvySelf-motivated and able to solve problems independentlyMission driven and passionate about bringing human-like intelligence to machines

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Your New Role and TeamSanctuary AI, a world leader in building dexterity-driven Physical AI for general-purpose robots, is looking to hire an experienced and driven Application Engineer with deep domain expertise in traditional manufacturing automation. This position is part of our Engineering team and plays a key role in helping us bridge the gap between legacy automation systems and the future of Physical AI. Reporting to the Head of Product, you’ll apply your 15+ years of experience in factory automation to help apply best practices in task automation, to Sanctuary technology integration, and production-scale reliability. As one of our Application Engineers, you’ll work hands-on with our AI team, robotics engineers, and external partners to assess and scope automation tasks, identify opportunity areas, and advise on deployment considerations that align with real-world customer needs and constraints. Success CriteriaIdentify and map the types of tasks that are already well-served by traditional automation systems — and where gaps remain.Guide our team on best practices for automating physical work in environments like manufacturing, logistics, and packaging.Help us benchmark and validate the performance of our robotic systems against industrial-grade alternatives.Work with the engineering team to ensure task replicas in the lab accurately capture the essence and constraints of real-world customer tasks.Identify, and lead the development of, hybrid customer solutions that integrate both Sanctuary's AI and traditional automation tools (e.g., PLCs, sensors, and robotic arms) to maximize real-world effectiveness. Your ExperienceQualificationsBachelor’s Degree in Mechatronics, Electrical/Mechanical Engineering, or equivalent practical experience15+ years in application engineering, factory automation, or systems integrationDeep working knowledge of automation systems including PLCs, HMIs, sensors, and actuatorsStrong background in task design and throughput optimization15+ years designing or integrating factory automation systems using PLCs, vision systems, and robotic arms.Experience working with integrators, OEMs, or directly on plant floors. SkillsEffective communicator with both technical and non-technical audiencesSkilled in root-cause analysis and system-level debuggingFamiliar with both low-level control and high-level system orchestrationComfortable working cross-functionally in fast-paced environments TraitsAbove all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to mission objectives.Successful candidates will be a proponent of personal responsibility for themselves and their teammates.Empathetic listener with conflict resolution capabilities.Consistent bias for action, communication, and interpersonal savvy.Self-motivated and able to solve problems independently.Mission driven and passionate about bringing human-like intelligence to machines.

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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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Scale AI’s Robotics team is enabling the future of physical AI by building the most advanced data collection and annotation programs in the industry. We are hiring a Director of Robotics Operations to lead these efforts end-to-end—from onsite lab operations to managing distributed contributor networks and downstream annotation workflows. This role will manage a cross-functional operations team including site leads, independent data collectors, strategic project leads, engagement managers, and operational program managers. You’ll collaborate closely with Field Engineers (as key technical stakeholders) and cross-functional partners across Engineering, Product, and Go-To-Market. If you’re an experienced operator who thrives in complexity, excels at building scalable systems, and wants to make a massive impact in a fast-moving space, we want to hear from you. You will: Own and scale the full operations lifecycle for robotics data collection—from onsite physical setups to distributed contractor management and post-processing annotation pipelines. Lead a diverse team including Site Operations Leads, Strategic Project Leads, Engagement Managers, and Program Managers. Manage large networks of independent contributors across the globe to execute high-volume data collection at scale. Build and operationalize high-throughput, high-quality workflows across robotics programs—balancing speed, accuracy, and cost. Collaborate closely with Robotics Field Engineers, who are technical stakeholders responsible for hardware deployment and robotics integrations. Partner cross-functionally with Go-To-Market, Engineering, and Solutions teams to ensure successful execution of complex, customer-facing projects. Define and own key performance indicators (KPIs), including throughput, yield, cost per hour of data, and turnaround times. Solve operational bottlenecks and scale infrastructure to support rapid growth in customer demand and robotics deployments. Operate with urgency and clarity—driving execution while continuously improving workflows and systems. You Have: 10+ years of experience in operations, logistics, robotics, or related fields, with a proven track record leading large, cross-functional teams. Demonstrated ability to manage and scale hybrid workforces—both full-time staff and distributed independent contractors. Experience building and running on-site physical operations (labs, field sites, or hardware-intensive environments). Proven success in high-complexity program execution and cross-functional collaboration. Experience managing highly technical operational workflows with both hardware and software in the loop. Technical fluency and a data-driven mindset; comfort working with SQL or Python is a strong plus. Experience operating in international markets, especially LATAM, including field deployments, compliance, and vendor management. Strong systems thinking, process design, and problem-solving skills. High operational rigor and a drive for continuous improvement. A track record of operational output excellence Nice to Have: Experience in robotics, AV testing, or large-scale data annotation programs. Familiarity with fleet management, compliance frameworks, or automation workflows. Experience optimizing a global workforce with onshore and offshore operations. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.The base salary range for this full-time position in the location of San Francisco is:$204,000—$255,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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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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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role You’ll be part of a team who’s building the backbone of our airborne software validation environment. As a Simulation Engineer, you’ll write tools that let engineers to rigorously test AI and autonomy before flight. Your work ensures our AI behaves predictably and safely – even in edge cases – accelerating how we bring real aircraft to life. The day-to-day Design and develop modules in simulation/validation frameworks Write Rust code for high-performance simulation Build tools for automated test coverage and fault injection Work closely with different teams to capture requirements Debug and profile simulation performance Maintain documentation and testing infrastructure You should apply if you Write modern, maintainable code Have experience in simulation, testing or robotics frameworks Are comfortable with complex systems and concurrency Care about reliability, performance and safety Like working on the interface between software and hardware Are motivated by fast feedback loops and real impact Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Nice to Have Aerospace or automotive background Hardware-in-the-loop or real-time simulation experience Experience building test rigs Knowledge of flight dynamics or control systems Familiarity with CI/CD for simulation systems Exposure to AI/ML systems testing Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one    Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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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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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 San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.Role SummaryHelp build the world’s best deep learning cloud by delivering frontend and backend systems that power Lambda's ML and AI platform.What You’ll DoDesign and build intuitive, beautiful web interfaces for ML/AI cloud usersIntegrate top-tier tooling, workflows, and models from the AI spaceOwn features end-to-end—from design to deployment to monitoringYou (Must-Haves)Frontend Experience (6+ years)Responsive web apps using:TypeScriptReact (or equivalent experience in Vue or Svelte)HTML and modern CSSViteBackend Experience (8+ years)Business-critical services using:Python, Unix/Command lineDjango or FastAPIRelational databases like PostgreSQL or MySQLAdditional Core ExperienceCI/CD: Automation around testing and deploymentReliability & Observability: Logging, alerting, and building highly available systemsCloud Native Services: AWS, Okta, Cloudflare, etc.Nice-to-HavesExperience with KubernetesInfrastructure as Code (Terraform, Atlantis, Crossplane, etc.)Event-based or serverless tech (e.g., AWS Lambda, Kinesis)Experience in ML, AI, or data scienceApplication security and web hardeningLeadership or mentorship experienceStrong academic background (EECS, Math, Software Engineering, Physics)Salary RangeThe annual salary range for this position is $225,000-$445,000, with flexibility based on experience and qualifications.Final NoteYou don’t need to meet all qualifications to apply. Lambda values a variety of backgrounds, experiences, and skills.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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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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Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  Overview As Speechify expands, our AI team seeks a Senior Backend Engineer. This role is central to ensuring our infrastructure scales efficiently, optimizing key product flows, and constructing resilient end-to-end systems. If you are passionate about strategizing, enjoy high-paced environments, and are eager to take ownership of product decisions, we’d love to hear from you. What You’ll Do State of the art voice cloning Low latency and cost effective text to speech An Ideal Candidate Should Have Proven experience in backend development: Python Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers. Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact. Experience with Docker and containerized deployments. Proficiency in deploying high availability applications on Kubernetes. Preferred: Experience deploying NLP or TTS models to production. What We Offer A dynamic environment where your contributions shape the company and its products. A team that values innovation, intuition, and drive. Autonomy, fostering focus and creativity. The opportunity to have a significant impact in a revolutionary industry. Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture. The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more. An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain. Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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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 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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About UsAt Artisan, we're creating AI Employees, called Artisans, and software which is sleek, easy to use, and replaces the endless stack of point solutions. We're starting with outbound sales and our AI BDR, Ava. Our platform contains every tool needed for outbound sales - B2B data, AI email sequences, deliverability optimization tools and so much more.We're growing very rapidly and recently raised a $25M Series A round from top investors. We are looking for superstars to join us on our rocketship growth as we relentlessly work towards building a multi-billion dollar company.About the RoleAva is our flagship AI employee—an outbound sales BDR that performs real work, with real results. We’re looking for a deeply technical and product-minded Applied AI Engineer to help build the core intelligence behind Ava: reasoning loops, action planning, tool use, memory, and end-to-end autonomy.You’ll be at the heart of building human-grade autonomous software agents. This is a hands-on, experimental, highly collaborative role where shipping matters.You’ll be building not just tools, but behaviors—real agents that replace full-time employees. You’ll help create not just features, but emergent intelligence. Ava is already changing how companies sell. You’ll define how far we can push her next.What You'll DoBuild and maintain agentic infrastructure: memory systems, planning modules, tool usage, and task decomposition logic.Develop robust integrations with third-party systems that Ava can reason about and act on (CRMs, email platforms, databases, etc).Design reinforcement loops, hallucination detection, and behavior tuning systems for long-term reliability.Work closely with product and design teams to prototype and productionize intelligent behaviors that feel seamless to users.Own model evaluation pipelines and instrumentation for user feedback and continuous improvement.Implement smart fallback systems to gracefully handle agent uncertainty or failure.What You Bring3–5+ years of experience in ML/AI engineering, ideally in applied LLM or agentic system contexts.Experience building end-to-end applications using modern LLM tooling (LangChain, LangGraph, or custom frameworks).Deep understanding of reasoning, prompt orchestration, and memory mechanisms.Strong software engineering skills—able to write clean, maintainable Python and backend code.Experience integrating AI models into production environments with real users.Why Join UsBuild the future of work by pioneering a new AI-native product category.Collaborate with a mission-driven, ambitious, and high-caliber team.Competitive salary, generous equity, and full benefits.Regular company off-sites and team events.Fast-moving culture where you'll ship meaningful work every week.

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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 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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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.