Top AI Machine Learning Engineer Jobs Openings in 2025

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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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About Us:We are establishing the first distributed Al infrastructure dedicated to personalized Al. The evolving needs of a data-driven society are demanding scalability and flexibility. We believe that the future of Al is distributed and enables real-time data processing at the edge, closer to where data is generated. We are building a future where a company's data and IP remains private and it's possible to bring large models directly to consumer hardware without removing information from the model.Role Overview: As a Staff R&D AI Engineer, you will lead the development of cutting-edge AI systems that bridge computer vision, natural language understanding, and action learning. You'll architect and implement Vision-Language-Action (VLA) models, advance reinforcement learning applications, and push the boundaries of multimodal AI integration. This role combines deep expertise in both computer vision and large language models with hands-on experience in reinforcement learning to create intelligent systems that can understand, reason about, and interact with complex environments. You'll drive research initiatives, mentor technical teams, and translate breakthrough AI research into practical applications across diverse domains.Key Responsibilities:Design and develop Vision-Language-Action (VLA) models that integrate visual perception, natural language understanding, and action predictionArchitect and implement reinforcement learning systems for sequential decision-making, including policy learning and skill acquisitionBuild and optimize computer vision pipelines for perception tasks, including object detection, segmentation, tracking, and scene understandingDevelop and fine-tune large language models for instruction following, reasoning, and task planning applicationsImplement RLHF (Reinforcement Learning from Human Feedback) systems to improve model alignment and safetyCreate multimodal training pipelines that leverage synthetic and real-world data for robust model performanceResearch and prototype novel AI architectures that combine vision, language, and action learningCollaborate with engineering teams to integrate AI models into applications and validate performance across domainsOptimize model inference performance for real-time applications across edge and cloud deploymentsLead technical initiatives, mentor junior AI engineers, and establish best practices for AI model developmentStay current with latest research in VLA models, multimodal AI, and robotics to drive innovation roadmapPresent findings at conferences and publish research to advance the fieldQualifications & Skills:7+ years of experience in AI/ML engineering with 4+ years focusing on deep learning and neural network developmentStrong understanding of reinforcement learning algorithms and their applications (PPO, SAC, TD3, etc.)Strong expertise in both computer vision and natural language processing with hands-on model development experienceProficiency in PyTorch and/or TensorFlow with experience training and deploying large-scale modelsExperience with transformer architectures, attention mechanisms, and large language model fine-tuningHands-on experience with computer vision tasks including object detection, semantic segmentation, and visual trackingStrong programming skills in Python with experience in distributed training and model optimizationUnderstanding of sequential decision-making and control systems fundamentalsExperience with MLOps practices including model versioning, monitoring, and deployment pipelinesProven ability to work independently on complex research problems and deliver practical solutionsStrong communication skills and experience collaborating with cross-functional engineering teamsPreferred Qualifications:PhD in Computer Science, Robotics, AI/ML, or related field with focus on multimodal learning or roboticsDirect experience developing or working with Vision-Language-Action (VLA) models or similar multimodal architecturesExperience with RLHF implementation and human feedback integration for model alignmentBackground in imitation learning, inverse reinforcement learning, or learning from demonstrationsExperience with real-world system deployment and sim-to-real transfer techniquesKnowledge of 3D computer vision, spatial reasoning, or multi-modal perception systemsExperience with distributed training frameworks (DeepSpeed, FairScale, Horovod) and large-scale model trainingFamiliarity with edge AI deployment and model optimization techniques (quantization, pruning, distillation)Experience with embodied AI research or projects involving agent-environment interactionPublished research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR, CoRL, etc.)Open-source contributions to major AI/ML frameworks or robotics projectsStartup experience with ability to rapidly prototype and iterate on AI solutionsExperience with cloud platforms (AWS, GCP, Azure) and containerization technologiesBackground in safety-critical AI systems or AI alignment researchWe at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.$200/mos Health and Wellness Stipend$400/year Continuing Education CreditFlexible work weekFree parking, for in-office employeesUnlimited PTOParental, Bereavement LeaveSupplemental Life InsurancewebAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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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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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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Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000.In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale.Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations.What We Are Looking For: At Distyl we're deploying production LLM systems for our F500 clients largest workflows. This requires exceptional engineers who are going to push the boundaries of what is possible with LLM solutions.Lead AI Engineers at Distyl operate as the CTO of an engagement with a F500 customer, taking ownership of the project’s technical direction. They have a vision for the future and aren’t afraid to pitch bold ideas to F500 Enterprise Architects. From there, they lead a team of engineers to fundamentally transform how their customer operates. Always looking to grow, they’re driven by a passion for mastering their craft and excited to take on leadership roles that shape the future of AI.Key Responsibilities:Develop Production Grade AI Systems: For many of our customers we are their only successful GenAI project (and not for the lack of trying). This is because our AI Engineers are experts at understanding how to use software to tame the complexity of AI. They understand power and limits of both AI and Software and build systems which bring the best of both.Own End to End Delivery of Custom AI Solutions: Lead AI Engineers are responsible for architecting the solution, partnering with customer engineers to deploy into the customer’s environment, and then ensure the system operates as intended.Earn Our Customer's Trust: AI's power has yet to be fully realized, but there are already a lot of broken promises. All Distillers are customer facing and our engineers are responsible for making sure our promises are kept. You will partner with our AI strategists and researchers to devise a solution, present it customer enterprise architects, and then educate them on how our system works.Qualifications:Exceptional Software Engineering Skills: AI’s rapid evolution means code written today might not be useful tomorrow. We need engineers who know how to design and write stable, maintainable, and secure systems that are able to evolve. We use Python but are open to strong experience in other languages.Experience with AI Systems: You should know how to build a RAG system, done prompt engineering, and know the difference between precision and recall. While you'll partner with our Research Team to design these systems, you must be able to do the work to drive a POC to a production grade AI tool.Strong Communication and Organizational Ability: As the project technical lead, you will own relationships with customer technical teams, develop a plan with Distyl’s Project Leads, and work with the rest of the engineering team to deliver.Understanding of Enterprise Cloud Architectures: Our systems are deployed into our customer's environments, often into complex hybrid cloud environments. Our business is won on our Lead AI Engineer’s abillity to be trusted by customer enterprise architecture teams.Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.What We Offer:An opportunity to advance the cutting-edge of LLM research and directly revolutionize work in the enterprise space.Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.Competitive salary and benefits package, including equity options and healthcare.Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.A collaborative and intellectually stimulating environment that encourages innovation and personal growth.If you are an innovative, ambitious, and driven individual looking to make a difference in the world of AI, we want to hear from you. Apply now to join our team as an Lead AI engineer and help us shape the future of AI-driven solutions for enterprises across the globe.Note: Distyl is a hybrid working environment and requires in office collaboration 3 days a week. We have offices in SF and NYC

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YOUR MISSION: As a Senior Applied Scientist (f/m/d)*, you will evaluate and improve the performance of our AI Agents. This will involve developing evaluation tasks for agent behaviour, fine-tuning foundation models, researching and prototyping new AI Agent features and frameworks, and investigating issues affecting our customers. You’ll develop a deep understanding of the behaviour of our models and AI Agents. You’ll work directly with product engineering and sales teams, leading by example on evaluating and improving our product - from improving the performance of our production agents to researching and developing new agentic systems. You’ll join the Applied Science team, a collaborative group of Machine Learning Engineers and Applied Scientists that own Parloa’s ML Evaluation Platform and the machine learning models that power our product. The team is responsible for keeping Parloa at the forefront of research and development of Generative AI and AI Agent based products.   IN THIS ROLE YOU WILL: Take ownership of applied science and machine learning projects that help us improve our generative AI product suite Develop and evaluate production Agentic AI systems for real customer use cases Directly support and collaborate with product engineering and sales, analyzing the performance of our AI products and prototyping new features Evaluate and train or fine-tune a variety of models, including LLMs Execute Machine Learning research and development projects end-to-end, rapidly turning new ideas into customer facing features Our Tech stack (AI & Data): Python, OpenAI, LangGraph, SQL, Microsoft Azure, Kubernetes, Terraform, Docker, MongoDB, MySQL, Redis, Eventhubs (Kafka), PostHog, Databricks, DeltaLiveTables, Preset WHAT YOU BRING TO THE TABLE: 7+ years of experience as a Data Scientist Experience developing and owning production ML models and systems. Experience with LLMs, NLP, or information retrieval is a strong plus Strong proficiency in Python and experience with using using Python in production Experience working with big data technologies (e.g. Spark) and using ML Ops platforms (e.g. MLFlow) Experience with owning the ML process end-to-end: from gathering requirements to experimentation to productionisation, monitoring and optimization. Experience in leading medium-sized technical projects (3-9 months roadmap) Strong spoken and written communication skills in English Our AI&Data Science team expects 2-3 days in the office per week. WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Hybrid work environment. However, we love to build real connections and want to welcome everyone in our beautiful Berlin office on certain days. Your recruiting process at Parloa: Recruiter video call → Hiring Manager Interview → Technical Stage 1 (Data Science Coding Session) → Technical Stage 2 (Machine Learning Theory & Case Study) → Meeting CTO  Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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Maincode is building sovereign AI models in Australia. We are training foundation models from scratch, designing new reasoning architectures, and deploying them on state-of-the-art GPU clusters. This is not fine-tuning someone else’s work. This is building from first principles.As an AI/ML Engineer, you’ll be part of the team that makes this real. You’ll work on both sides of the problem: how models are trained and how they run in the world. You’ll design and build the systems that power large-scale training runs and efficient inference. You’ll work closely with our AI Researchers to implement the latest algorithms and ideas.This is a deep engineering role. You’ll be writing a lot of code, instrumenting systems, optimizing performance, and debugging weird, messy edge cases in distributed training and model serving. If you love figuring out how foundation models really work under the hood, this is your team.We’re expanding our global network of Maincoders by establishing a new Seattle office. Join us in shaping this hub from day one while collaborating closely with our Melbourne headquarters to push forward the frontier of AI research and engineering.What you’ll doBuild and scale training pipelines for sovereign foundation models like large language models and other architecturesDesign efficient inference systems that run these models in real-world environmentsOptimize data pipelines, tokenization, batch prep, and distributed training at multi-node scaleBuild deep observability into training and inference, improving performance, correctness, and efficiencyDebug and troubleshoot the hardest parts of model training and deployment, including distributed failures, GPU bugs, data inconsistencies, and scaling limitsWork closely with AI Researchers to translate cutting-edge algorithms into working systemsEstablish strong ModelOps practices to ensure reproducibility, reliability, and continuous improvement across the full lifecycle of foundation models, from initial experiments to production deploymentWho you arePassionate about how models are built, trained, and run, especially large-scale foundation modelsDriven by curiosity about model internals, training dynamics, and system-level performanceExcited to work across both training and inference, not just one side of the ML stackSkilled in Python and ML frameworks like PyTorch or JAX. Familiarity with distributed compute (CUDA, Triton, NCCL, etc.) is a bonus but not requiredConstantly learning, whether it’s reading open-source repos, replicating research ideas, or designing your own tools to explore a problemHands-on and determined. You like writing code, running experiments, and figuring things outMotivated to help build sovereign AI capability here in AustraliaWhy MaincodeWe are a small team building some of the most advanced AI systems in Australia. We are creating new foundation models from scratch, not just using what’s already out there.We operate our own GPU clusters, run large-scale training, and work closely across research and engineering to push the frontier of what’s possible.You'll be surrounded by people who:Care about model internals, not just outputsBuild things that work, at scaleTake pride in learning, experimenting, and shippingWant to help Australia build independent, world-class AI systems

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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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Location 📍: Sydney, Australia (Hybrid - 3 Days In Office)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 🥳We’re seeking talented AI engineers (fullstack) to join our team and build next-generation AI-powered applications. We can hire at mid/ senior/ staff level. This role would be ideal for individuals who are excited by the intersection of software development and applied AI.This is not a traditional ML engineer/ MLops role. Your day to day will be varied and you’ll work on building real, user-facing AI features—powering workflows, tools, and experiences that leverage large language models and agents across the product. Expect to dive deep into prompt engineering, AI-powered backend services, and full stack implementations (APIs, microservices, and frontends alike).You’ll collaborate closely with a visionary product and engineering team, contribute to our open-source SDKs, expand internal agent frameworks, and shape the future of AI agent interfaces and infrastructure.Your impact💥Develop Agents and Multi-agent systems: Design and implement AI agent and extend existing agents with new capabilities. This includes managing the agent’s context (using techniques like sub-agents, retrieval based context management, sliding context windows, etc.).Develop Tools for agents: Develop complex tools for agents like computer use, browser use, etc.Multi-agent orchestration and tool calling: Research and develop systems on how agents should collaborate, and how agents should call tools.Fullstack development: Build and maintain production-grade APIs and AI-powered features, from backend services to user-facing experiences.Evaluate and improve: Evaluate AI’s performance using evaluations and tests to then iterate on prompts, agent tools and agents orchestration to improve output quality and reliability.What We’re Looking For 🧠Proven experience in full-stack software development, ideally developing practical and production-ready AI applications or features that utilise Gen AI/ LLMs / RAG.Strong programming skills in Python and Typescript, including experience using AI-assisted coding tools.Deep understanding of foundational models, prompt engineering, and fine-tuning techniques.Understanding of software design, service architecture, and scalable systems.Passion for building AI-enhanced user experiences, not just theoretical ML solutions.Prior start-up or tech company experience is a plus—especially where you’ve worn multiple hats or shaped early products.Bonus: Side projects or open-source contributions involving building AI agents, RAG pipelines, or open-source LLM tooling.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 (Australia) ✨🌴 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 Delve Delve is on a mission to eliminate busywork for humanity by turning compliance from a manual grind into an effortless, automated partnership. Trusted by over 500+ fast‑growing companies—like Lovable, 11x, and WisprFlow—we save them hundreds of hours and help them build securely.We’re the fastest-growing compliance startup in the world. Backed by Insight Partners, General Catalyst, Y Combinator, and top-tier investors, we just raised our $32M Series A and are scaling quickly. Our team includes Olympiad medalists, former founders, engineers from OpenAI, Stanford, MIT, and Berkeley—and some of the most talented builders you’ll ever meet.We’re not just solving compliance. We’re redefining how machines and humans partner to turn ambiguity into action. If you're hungry to work with the best and do your life's most meaningful work—keep reading.Don’t See the Perfect Role? Build It. Some people don’t fit into boxes. They break them—and build better ones.At Delve, we hire exceptional people, not just resumes. If you're the kind of person who makes things happen—whether you’re an engineer, designer, GTM operator, GRC expert, AI researcher, or something else entirely—we want to hear from you.This is a build-your-own-role opportunity for generational talent: the kind of person who raises the bar just by showing up. If you’re brilliant, ambitious, and relentlessly resourceful, Delve is the place where you’ll thrive.What You’ll Do (or Could Do) This role is intentionally open-ended. You tell us what your superpower is and how you’ll apply it at Delve. Some examples:Build AI-native workflows that help the fastest-growing startups pass audits without lifting a fingerRedesign the way humans interface with regulatory frameworks using automation and intelligenceLead strategic initiatives that scale our GTM motion 10x faster than the marketClose complex deals with CISOs and CTOs by deeply understanding their security stackArchitect systems that process millions of records securely and reliablyDefine how we scale policy development, risk management, and evidence collection across thousands of customersPartner directly with founders on product strategy, customer acquisition, or operationsYou’ll work side-by-side with a high-caliber team across functions—and be trusted to move fast, own problems, and drive outcomes.Who You AreYou’re in the top 1% of your field—people look to you when things get hardYou’ve built, shipped, led, or invented things that most people wouldn’t even tryYou crave ownership, seek out ambiguity, and never wait for permission to actYou’re a systems thinker, a fast learner, and a generous teammateYou want to be surrounded by people who push you to do the best work of your lifeYou believe that great companies are built by a small group of exceptional people moving quicklyBonus points if you’ve founded something, medaled in a competition, published something novel, led a team, built a product users love—or just done something weird and impressive.Why Delve? Delve isn’t just a startup—it’s a rocket ship. If you’re tired of slow-moving orgs, status games, or 9-to-5 checkboxes, you’ll feel at home here. We’re building fast, dreaming bigger, and moving toward a world where compliance (and beyond) is radically easier for every company on the planet.You’ll get:A seat at the table as we redefine an entire categoryThe opportunity to solve real problems for real customers—fastA team that’s as ambitious and mission-driven as you areIn-person energy (SF HQ) or remote flexibility—your callThe comp, equity, and benefits to focus on doing your best workBenefits100% medical, dental & vision coverage (you); partial for dependents401(k) with employer matchUnlimited PTO + federal holidaysGrubHub stipend + all meals covered in-officeGym membership coveredFrequent team dinners, events, and off-sitesAnd most importantly: the opportunity to do the most meaningful work of your careerApply If You’re Exceptional We’re not trying to fill seats. We’re trying to build a legendary team. If you’ve always felt a little out of place because you were dreaming bigger or moving faster than those around you — we built this company for you.

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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 RoleWe're not just shipping AI products—we're building ones that learn and improve autonomously. We’re looking for a Growth ML & Experimentation Engineer to build Ava’s adaptive growth brain: systems that run millions of microtests and optimize outbound performance across companies, personas, and industries.Think of this role as creating the “growth hacker” mind inside our AI BDR—combining A/B testing, reinforcement learning, and control systems at scale.You’ll be building an AI that adapts itself to every persona, every market, and every trend—without needing to be told. This isn’t growth hacking for a website. It’s evolution for an AI employee.What You'll DoDesign and implement automated experimentation systems (A/Z testing, multivariate optimization, Bayesian exploration, etc).Build dynamic systems that continuously learn from open/response rates, meetings booked, and downstream metrics. Create reinforcement loops and scoring models to help Ava adjust tone, targeting, and strategies in real-time. Work closely with product to embed experimentation directly into the AI-user experience. Develop tools to visualize and interpret campaign intelligence for internal teams and end users.What You Bring3–6+ years of experience in applied ML, ideally focused on growth, optimization, or adaptive systems.Experience with online experimentation frameworks (A/B testing infra, bandits, causal inference, etc). Strong Python and data engineering skills; comfortable working across pipelines, APIs, and backend systems. Experience working with outbound or marketing funnel data is a major plus. Passion for building intelligent systems that get better every day, without human micromanagement.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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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 RoleWe're not just shipping AI products—we're building ones that learn and improve autonomously. We’re looking for a Growth ML & Experimentation Engineer to build Ava’s adaptive growth brain: systems that run millions of microtests and optimize outbound performance across companies, personas, and industries.Think of this role as creating the “growth hacker” mind inside our AI BDR—combining A/B testing, reinforcement learning, and control systems at scale.You’ll be building an AI that adapts itself to every persona, every market, and every trend—without needing to be told. This isn’t growth hacking for a website. It’s evolution for an AI employee.What You'll DoDesign and implement automated experimentation systems (A/Z testing, multivariate optimization, Bayesian exploration, etc).Build dynamic systems that continuously learn from open/response rates, meetings booked, and downstream metrics. Create reinforcement loops and scoring models to help Ava adjust tone, targeting, and strategies in real-time. Work closely with product to embed experimentation directly into the AI-user experience. Develop tools to visualize and interpret campaign intelligence for internal teams and end users.What You Bring3–6+ years of experience in applied ML, ideally focused on growth, optimization, or adaptive systems.Experience with online experimentation frameworks (A/B testing infra, bandits, causal inference, etc). Strong Python and data engineering skills; comfortable working across pipelines, APIs, and backend systems. Experience working with outbound or marketing funnel data is a major plus. Passion for building intelligent systems that get better every day, without human micromanagement.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.