Applied

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at <a target="_blank" rel="noopener noreferrer ugc" href="http://applied.co">applied.co</a>.We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions<h2>About the role and team</h2>We are looking for senior machine learning engineers to advance the core reconstruction technology behind Neural Simulation, our state-of-the-art product for turning real-world driving data into high-fidelity, photorealistic simulation environments. As part of this team, you will push the boundaries of what the product can do, raising reconstruction quality, scaling to ever-larger volumes of data, and making it more useful for customers who rely on it to train and validate their autonomy systems. Your work will directly shape how the largest OEMs in the world develop the next generation of data-driven autonomous vehicles.This role is ideal for engineers who thrive at the intersection of 3D computer vision, graphics, and machine learning, and who are excited to take a state-of-the-art product further by bringing the latest research into production and solving the hardest simulation gaps in Physical AI.<h2>At Applied Intuition, you will:</h2><ul><li>Advance the learning-based reconstruction methods at the core of our product, such as 3D Gaussian Splatting and NeRFs, bringing the latest research into production to improve fidelity, robustness, and scalability</li><li>Push the limits of neural reconstruction for large-scale, dynamic driving scenes, including:<ul><li>Dynamic actor reconstruction and scene editing</li><li>Novel view synthesis and multi-sensor rendering (camera, LiDAR)</li><li>Scaling reconstruction quality and throughput across large volumes of fleet data</li></ul></li><li>Explore and productionize feed-forward reconstruction approaches that reduce per-scene optimization cost and enable reconstruction at scale</li><li>Define and build evaluation metrics, benchmarks, and validation workflows that measure reconstruction fidelity and sim-to-real gap</li><li>Work closely with customers to understand their pain points and implement technical solutions in the Neural Simulation product</li><li>Collaborate closely with Infra, Autonomy, Research and other product teams to deliver end-to-end solutions</li><li>Take ownership of critical technical components and influence architecture and product decisions</li></ul><h2>We're looking for someone who has:</h2><ul><li>5+ years of experience developing and shipping ML or computer vision systems</li><li>A minimum of a Bachelor's degree in computer science, physics, robotics, or equivalent</li><li>Strong hands-on experience with modern learning-based 3D reconstruction techniques, such as 3D Gaussian Splatting and NeRFs</li><li>A solid foundation in multi-view geometry, camera models, and differentiable rendering</li><li>Proficiency in Python and PyTorch, along with C++ and/or CUDA</li><li>A proven ability to turn research ideas into robust, production-quality software</li><li>Strong problem-solving skills and comfort with ambiguity</li></ul><h2>Nice to have:</h2><ul><li>Experience with feed-forward or generalizable Gaussian Splatting and reconstruction models</li><li>A background in computer vision (e.g., SfM, SLAM, photogrammetry) and/or computer graphics (e.g., rendering, rasterization, ray tracing)</li><li>A track record of shipping ML products with clearly defined evaluation metrics and benchmarks</li><li>Experience in autonomous driving or robotics, including working with multi-sensor data (camera, LiDAR, radar)</li><li>Peer-reviewed research at conferences such as CVPR, ICCV/ECCV, NeurIPS, SIGGRAPH, ICRA, or IROS</li><li>A Master's degree or PhD in computer science, physics, robotics, or related fields</li></ul>Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact <a target="_blank" rel="noopener noreferrer" href="mailto:careers@applied.co">careers@applied.co</a>. We will work with you!

Senior Machine Learning Engineer - 3D Reconstruction

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at <a target="_blank" rel="noopener noreferrer ugc" href="http://applied.co">applied.co</a>.We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions<h2>About the role and team</h2>We are looking for senior machine learning engineers to advance the generative modeling technology behind Neural Simulation, our state-of-the-art product for turning real-world driving data into high-fidelity, photorealistic simulation environments. As part of this team, you will push the boundaries of what the product can do with diffusion and video generation models, creating realistic, controllable sensor data, augmenting real-world logs with new scenarios, and making the product more useful for customers who rely on it to train and validate their autonomy systems. Your work will directly shape how the largest OEMs in the world develop the next generation of data-driven autonomous vehicles.This role is ideal for engineers who thrive at the intersection of generative modeling, computer vision, and machine learning, and who are excited to take a state-of-the-art product further by bringing the latest research into production and solving the hardest simulation gaps in Physical AI.<h2>At Applied Intuition, you will:</h2><ul><li>Develop and advance diffusion and video generation models that power our Neural Simulation product, bringing the latest research into production to improve realism, controllability, and scalability</li><li>Push the limits of generative simulation for driving scenes, including:<ul><li>Controllable generation conditioned on scene layout, camera pose, actors, and trajectories</li><li>Temporally consistent, multi-camera video generation</li><li>Augmenting real-world logs with new scenarios, actors, and conditions such as weather and lighting</li></ul></li><li>Combine generative models with our neural reconstruction pipeline to improve fidelity and coverage of simulated scenes</li><li>Scale training and inference of large generative models for production workloads</li><li>Define and build evaluation metrics, benchmarks, and validation workflows that measure realism, temporal consistency, controllability, and sim-to-real gap</li><li>Work closely with customers to understand their pain points and implement technical solutions in the Neural Simulation product</li><li>Collaborate closely with Infra, Autonomy, Research and other product teams to deliver end-to-end solutions</li><li>Take ownership of critical technical components and influence architecture and product decisions</li></ul><h2>We're looking for someone who has:</h2><ul><li>5+ years of experience developing and shipping ML or computer vision systems</li><li>A minimum of a Bachelor's degree in computer science, physics, robotics, or equivalent</li><li>Strong hands-on experience with diffusion models and video generation (e.g., latent and video diffusion models, diffusion transformers)</li><li>A solid foundation in generative modeling and deep learning, including training and fine-tuning large models</li><li>Proficiency in Python and PyTorch</li><li>A proven ability to turn research ideas into robust, production-quality software</li><li>Strong problem-solving skills and comfort with ambiguity</li></ul><h2>Nice to have:</h2><ul><li>Experience with learning-based 3D reconstruction, such as 3D Gaussian Splatting, NeRFs, or feed-forward Gaussian Splatting</li><li>A background in computer vision (e.g., SfM, SLAM, photogrammetry) and/or computer graphics (e.g., rendering, rasterization, ray tracing)</li><li>A track record of shipping ML products with clearly defined evaluation metrics and benchmarks</li><li>Experience in autonomous driving or robotics, including working with multi-sensor data (camera, LiDAR, radar)</li><li>Experience with 3D-aware or multi-view consistent generation, or world models</li><li>Experience with large-scale distributed training and inference optimization (e.g., distillation, efficient sampling)</li><li>Programming experience in C++ and/or CUDA</li><li>Peer-reviewed research at conferences such as CVPR, ICCV/ECCV, NeurIPS, ICLR, ICML, or SIGGRAPH</li><li>A Master's degree or PhD in computer science, physics, robotics, or related fields</li></ul>Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact <a target="_blank" rel="noopener noreferrer" href="mailto:careers@applied.co">careers@applied.co</a>. We will work with you!

Senior Machine Learning Engineer - Generative Models

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at <a target="_blank" rel="noopener noreferrer ugc" href="http://applied.co">applied.co</a>.We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions<h2> About the role</h2>The Axion Data team at Applied Intuition is building the data engine to train perception models. We build the means to run models at the edge such as Automatic Target Recognition (ATR) models, then backhaul data to our cloud pipeline that ingests and manages this data to enable the continual improvement of these models. As a data engineer experienced in machine learning, you will be responsible for both our edge application which runs perception stacks and our cloud data engine which ingests video data to run the next iteration of the model before we deploy it back down to the edge. This includes optimizing our ability to run these models on both the edge and the cloud, as well as building MLOps tooling to gain insight and visibility into the pipeline for our stakeholders.<h2>At Applied Intuition, you will:</h2><ul><li>Construct optimized data pipelines to run ML models</li><li>Evolve our data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles</li><li>Integrate foundation models (LLMs, VLMs, and multimodal models) to automate and enhance labeling, quality assurance, and data discovery</li><li>Leverage software-in-the-loop and hardware-in-the-loop testing</li><li>Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience</li></ul><h2>We're looking for someone who has:</h2><ul><li>5+ years of relevant work experience</li><li>Bachelor Degree in Computer Science or relevant field </li><li>Familiarity with modern ML infrastructure, data-centric AI approaches and running large-scale jobs on GPUs</li><li>Created or worked on microservices and/or databases for data-oriented software</li><li>A hunger to learn and grow into a position of ownership and impact on a new product team</li><li>U.S. citizenship (legally required) and eligibility to obtain a security clearance</li></ul><h2>Nice to have:</h2><ul><li>Full-stack experience React, TypeScript Python, Golang or similar </li><li>Experience with Docker, Kubernetes, Opensearch and Postgres</li><li>Direct experience with foundation models, including LLMs and VLMs, for data automation tasks</li><li>Background in autonomous driving or robotics perception</li><li>Experience with active learning, auto-labeling, or human-in-the-loop ML systems</li></ul>Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials &amp; certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact <a target="_blank" rel="noopener noreferrer" href="mailto:careers@applied.co">careers@applied.co</a>. We will work with you!

Senior Software Engineer - Data Engine

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at <a target="_blank" rel="noopener noreferrer ugc" href="http://applied.co">applied.co</a>.We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions<h2>At Applied Intuition, you will:</h2><ul><li>Construct optimized data pipelines to run ML models</li><li>Evolve our data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles</li><li>Integrate foundation models (LLMs, VLMs, and multimodal models) to automate and enhance labeling, quality assurance, and data discovery</li><li>Leverage software-in-the-loop and hardware-in-the-loop testing</li><li>Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience</li></ul><h2>We're looking for someone who has:</h2><ul><li>5+ years of relevant work experience</li><li>Bachelor Degree in Computer Science or relevant field </li><li>Familiarity with modern ML infrastructure, data-centric AI approaches and running large-scale jobs on GPUs</li><li>Created or worked on microservices and/or databases for data-oriented software</li><li>A hunger to learn and grow into a position of ownership and impact on a new product team</li><li>U.S. citizenship (legally required) and eligibility to obtain a security clearance</li></ul><h2>Nice to have:</h2><ul><li>Full-stack experience React, TypeScript Python, Golang or similar </li><li>Experience with Docker, Kubernetes, Opensearch and Postgres</li><li>Direct experience with foundation models, including LLMs and VLMs, for data automation tasks</li><li>Background in autonomous driving or robotics perception</li><li>Experience with active learning, auto-labeling, or human-in-the-loop ML systems</li></ul>Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials &amp; certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact <a target="_blank" rel="noopener noreferrer" href="mailto:careers@applied.co">careers@applied.co</a>. We will work with you!

Software Engineer - Data Pipeline

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at <a target="_blank" rel="noopener noreferrer ugc" href="http://applied.co">applied.co</a>.We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions<h2>About the role</h2>Applied Intuition is building a robot learning platform on Dana, its physical AI platform: the data infrastructure and training intelligence a company needs to make any robot learn an industrial task and keep improving it. The robotics team builds that platform and uses it to deliver robot autonomy on customer lines, training, evaluating, and deploying policies on real robots doing real industrial tasks. Everyone on the team works hands-on with hardware and sees their work reach customers.As a Robot Learning Engineer, you will work on manipulation policies from task definition to a policy running reliably on a physical robot. You will train and fine-tune policies, understand why they fail, and make them dependable enough for customer use. Success is measured on the robot, not only on offline benchmarks.We are open to candidates at different experience levels who meet the requirements. We value demonstrated work on real systems, including equivalent practical experience, over a particular degree or title.<div> </div><h2>At Applied Intuition, you will:</h2><ul><li>Work on the full learning loop for manipulation tasks: task definition, demonstration collection, data curation, training, real-robot evaluation, and deployment.</li><li>Train and fine-tune manipulation policies, from large pretrained models such as vision-language-action models to compact task-specific policies, and choose the right approach for each task.</li><li>Develop repeatable recipes for industrial tasks such as pick-and-place, bimanual handling, and contact-rich assembly, adding force or tactile signals where they help.</li><li>Deploy policies on edge compute and validate observation processing, action interfaces, and control timing on the robot.</li><li>Turn failures and human interventions into better data, better models, and better evaluation.</li><li>Measure what customers care about, including success rate, cycle time, intervention rate, and the data and time needed to reach a target, and improve those numbers task after task.</li><li>Package recipes and models so the next task, and the next robot, starts from what was learned on the last one.</li></ul><div> </div><h2>We're looking for someone who has:</h2><ul><li>1+ years of professional experience</li><li>A Bachelor's degree in Computer Science, Software Engineering, or equivalent</li></ul><ul><li>Trained or fine-tuned a learned manipulation policy and deployed and evaluated it on a physical robot.</li><li>Strong Python and PyTorch skills, with the ability to write maintainable training, evaluation, and deployment code.</li><li>Practical depth in imitation learning and at least one modern policy family, such as vision-language-action models, diffusion policies, or action-chunking transformers.</li><li>Working knowledge of robot kinematics, coordinate frames, camera calibration, and the interface between learned actions and low-level control.</li><li>The habit of diagnosing failures with controlled experiments across data, sensing, model, and execution.</li><li>Comfort taking on open-ended problems and communicating tradeoffs clearly to teammates at the robot.</li></ul><div> </div><h2>Nice to Have:</h2><ul><li>Experience with bimanual manipulation, force-controlled insertion, tactile sensing, or dexterous hands.</li><li>Experience with ROS 2, LeRobot, or simulators such as Isaac and MuJoCo.</li><li>Experience optimizing inference on NVIDIA Jetson or GPU edge systems, including model export, compilation, or quantization.</li><li>Experience with reinforcement learning post-training, learning from interventions, or transferring policies across robot platforms.</li></ul>Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials &amp; certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact <a target="_blank" rel="noopener noreferrer" href="mailto:careers@applied.co">careers@applied.co</a>. We will work with you!

Applied

Open jobs at Applied

Senior Machine Learning Engineer - 3D Reconstruction

Senior Machine Learning Engineer - Generative Models

Senior Software Engineer - Data Engine

Software Engineer - Data Pipeline

Robot Learning Engineer - Manipulation

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