Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI. This position will be a key contributor in conducting applied research in Robotics and developing ML pipelines for training and fine tuning on data collected by Scale. In this role, you will have the opportunity to advance Robotic research, shape Scale's robotics offerings, and expand the frontier of Robotics data and model evaluation. We are seeking an exceptionally motivated and experienced Senior Machine Learning Engineer, Computer Vision to drive cutting edge research and development in real time and offline 2D and 3D algorithms. The successful candidate will be a hands on technical leader responsible for translating complex computer vision algorithms from research papers into robust, production ready systems that power our next generation products. This role requires a deep theoretical background combined with substantial practical experience working with spatial and temporal data. You will: Pioneer Core CV Algorithms: Lead the research, design, and implementation of novel computer vision and deep learning algorithms, with a specialized focus on 2D and 3D data (e.g point clouds). Focus Area Expertise: Drive innovation in key perception areas, including: 3D Reconstruction and SLAM: Advanced techniques for real time 3D mapping, pose estimation, and environmental modeling from multi modal sensor inputs (e.g., RGB D, LiDAR). Hand/Body Tracking: Developing robust and precise models for hand pose estimation, gesture recognition, and full body tracking under various lighting and occlusion conditions. Object Detection and Tracking (MOT/SOT): Designing high performance deep learning models for accurate detection and persistent tracking of objects and people in video streams. Video Processing: Creating algorithms for temporal feature extraction, video based action recognition, and motion analysis. Model Optimization: Optimize computationally intensive models for deployment on edge devices (low power, low latency) and/or large scale cloud infrastructure. Technical Leadership: Serve as the subject matter expert in Computer Vision, providing technical direction and mentorship to junior engineers and cross functional teams. Publication & IP: Maintain state of the art knowledge, evaluate recent academic publications (e.g., CVPR, ICCV, ECCV), and drive the filing of patents and publication of novel research. Cross Functional Partnering: Collaborate closely with Software Engineering, Product, and Hardware teams to define requirements, integrate vision systems, and ensure solutions meet performance targets. You have: Ph.D. in Computer Science, Computer Engineering, or a related quantitative field (Mathematics, Electrical Engineering, etc.) OR a Master's degree with 4+ years of equivalent professional experience in an applied research setting. 5+ years of hands on experience in algorithm development for 2D/3D computer vision and deep learning. Deep Learning Frameworks: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax). Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance critical algorithm implementation. 2D/3D Fundamentals: In depth knowledge of classical and modern computer vision fundamentals, including multi view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles. Building real time and batch ML systems that analyze structured and unstructured signals. Hands on experience rapidly prototyping and iterating on ML systems with changing requirements. Nice to haves: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax). Mastery of Python for machine learning and strong proficiency in C++ for performance critical algorithm implementation. In depth knowledge of classical and modern computer vision fundamentals, including multi view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles. Building real time and batch ML systems that analyze structured and unstructured signals. Hands on experience rapidly prototyping and iterating on ML systems with changing requirements. 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, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. 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 . 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. 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. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Base salary range for this full time position in the location of San Francisco: $218,400 - $273,000 USD
04/03/2026
Full time
Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI. This position will be a key contributor in conducting applied research in Robotics and developing ML pipelines for training and fine tuning on data collected by Scale. In this role, you will have the opportunity to advance Robotic research, shape Scale's robotics offerings, and expand the frontier of Robotics data and model evaluation. We are seeking an exceptionally motivated and experienced Senior Machine Learning Engineer, Computer Vision to drive cutting edge research and development in real time and offline 2D and 3D algorithms. The successful candidate will be a hands on technical leader responsible for translating complex computer vision algorithms from research papers into robust, production ready systems that power our next generation products. This role requires a deep theoretical background combined with substantial practical experience working with spatial and temporal data. You will: Pioneer Core CV Algorithms: Lead the research, design, and implementation of novel computer vision and deep learning algorithms, with a specialized focus on 2D and 3D data (e.g point clouds). Focus Area Expertise: Drive innovation in key perception areas, including: 3D Reconstruction and SLAM: Advanced techniques for real time 3D mapping, pose estimation, and environmental modeling from multi modal sensor inputs (e.g., RGB D, LiDAR). Hand/Body Tracking: Developing robust and precise models for hand pose estimation, gesture recognition, and full body tracking under various lighting and occlusion conditions. Object Detection and Tracking (MOT/SOT): Designing high performance deep learning models for accurate detection and persistent tracking of objects and people in video streams. Video Processing: Creating algorithms for temporal feature extraction, video based action recognition, and motion analysis. Model Optimization: Optimize computationally intensive models for deployment on edge devices (low power, low latency) and/or large scale cloud infrastructure. Technical Leadership: Serve as the subject matter expert in Computer Vision, providing technical direction and mentorship to junior engineers and cross functional teams. Publication & IP: Maintain state of the art knowledge, evaluate recent academic publications (e.g., CVPR, ICCV, ECCV), and drive the filing of patents and publication of novel research. Cross Functional Partnering: Collaborate closely with Software Engineering, Product, and Hardware teams to define requirements, integrate vision systems, and ensure solutions meet performance targets. You have: Ph.D. in Computer Science, Computer Engineering, or a related quantitative field (Mathematics, Electrical Engineering, etc.) OR a Master's degree with 4+ years of equivalent professional experience in an applied research setting. 5+ years of hands on experience in algorithm development for 2D/3D computer vision and deep learning. Deep Learning Frameworks: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax). Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance critical algorithm implementation. 2D/3D Fundamentals: In depth knowledge of classical and modern computer vision fundamentals, including multi view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles. Building real time and batch ML systems that analyze structured and unstructured signals. Hands on experience rapidly prototyping and iterating on ML systems with changing requirements. Nice to haves: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax). Mastery of Python for machine learning and strong proficiency in C++ for performance critical algorithm implementation. In depth knowledge of classical and modern computer vision fundamentals, including multi view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles. Building real time and batch ML systems that analyze structured and unstructured signals. Hands on experience rapidly prototyping and iterating on ML systems with changing requirements. 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, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. 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 . 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. 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. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Base salary range for this full time position in the location of San Francisco: $218,400 - $273,000 USD
Get AI-powered advice on this job and more exclusive features. At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. This will require close collaboration with our robotics, research, and engineering team. Your work will directly impact the development of intelligent, adaptable robots capable of learning and performing complex tasks autonomously. Responsibilities Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications. Design and conduct experiments to train RL models and conduct real-world tests. Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training. Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment. Analyze and interpret experimental results, iterating on model design to achieve desired performance. Stay up-to-date with the latest research and advancements in reinforcement learning. Preferred Qualifications BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience. Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc. Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.). Strong background in algorithms, data structures, and software engineering principles. Experience with physics simulation engines and tools for training RL. Deep understanding of state-of-the-art machine learning techniques and models. Extensive industry experience with reinforcement learning and robotic systems. Base Salary Range: $100,000 USD - $300,000 USD Seniority level Seniority levelEntry level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Skild AI by 2x Sign in to set job alerts for "Machine Learning Engineer" roles. Sunnyvale, CA $141,000.00-$202,000.00 2 weeks ago San Francisco, CA $130,000.00-$230,000.00 5 months ago Software Engineer, AI Platform - New GradStaff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube Sunnyvale, CA $141,000.00-$202,000.00 2 weeks ago San Jose, CA $113,500.00-$250,000.00 6 days ago San Jose, CA $120,700.00-$228,600.00 1 week ago San Jose, CA $119,000.00-$177,000.00 1 day ago Palo Alto, CA $150,000.00-$220,000.00 3 weeks ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube San Jose, CA $120,700.00-$228,600.00 1 week ago New Grads 2025 - Software Engineer, Algorithm San Jose, CA $120,000.00-$165,000.00 9 months ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, Google AdsData Scientist, Energy Analytics, Google Cloud Sunnyvale, CA $166,000.00-$244,000.00 1 week ago Data Scientist III, Research, Search AI Overview Mountain View, CA $141,000.00-$202,000.00 1 week ago New Grads 2025 - Software Engineer - Computer Vision/Deep Learning San Jose, CA $120,000.00-$165,000.00 8 months ago San Francisco Bay Area $115,000.00-$185,000.00 3 weeks ago Data Scientist III, Research, Search Ads Mountain View, CA $141,000.00-$202,000.00 1 week ago San Jose, CA $113,500.00-$250,000.00 4 days ago San Francisco, CA $140,000.00-$215,000.00 1 month ago San Francisco, CA $130,000.00-$238,000.00 2 weeks ago Machine Learning Engineer (I, II, or Sr.) Mountain View, CA $125,400.00-$188,100.00 2 weeks ago Menlo Park, CA $180,000.00-$200,000.00 4 weeks ago We're unlocking community knowledge in a new way. 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04/02/2026
Full time
Get AI-powered advice on this job and more exclusive features. At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. This will require close collaboration with our robotics, research, and engineering team. Your work will directly impact the development of intelligent, adaptable robots capable of learning and performing complex tasks autonomously. Responsibilities Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications. Design and conduct experiments to train RL models and conduct real-world tests. Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training. Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment. Analyze and interpret experimental results, iterating on model design to achieve desired performance. Stay up-to-date with the latest research and advancements in reinforcement learning. Preferred Qualifications BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience. Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc. Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.). Strong background in algorithms, data structures, and software engineering principles. Experience with physics simulation engines and tools for training RL. Deep understanding of state-of-the-art machine learning techniques and models. Extensive industry experience with reinforcement learning and robotic systems. Base Salary Range: $100,000 USD - $300,000 USD Seniority level Seniority levelEntry level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Skild AI by 2x Sign in to set job alerts for "Machine Learning Engineer" roles. Sunnyvale, CA $141,000.00-$202,000.00 2 weeks ago San Francisco, CA $130,000.00-$230,000.00 5 months ago Software Engineer, AI Platform - New GradStaff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube Sunnyvale, CA $141,000.00-$202,000.00 2 weeks ago San Jose, CA $113,500.00-$250,000.00 6 days ago San Jose, CA $120,700.00-$228,600.00 1 week ago San Jose, CA $119,000.00-$177,000.00 1 day ago Palo Alto, CA $150,000.00-$220,000.00 3 weeks ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube San Jose, CA $120,700.00-$228,600.00 1 week ago New Grads 2025 - Software Engineer, Algorithm San Jose, CA $120,000.00-$165,000.00 9 months ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, Google AdsData Scientist, Energy Analytics, Google Cloud Sunnyvale, CA $166,000.00-$244,000.00 1 week ago Data Scientist III, Research, Search AI Overview Mountain View, CA $141,000.00-$202,000.00 1 week ago New Grads 2025 - Software Engineer - Computer Vision/Deep Learning San Jose, CA $120,000.00-$165,000.00 8 months ago San Francisco Bay Area $115,000.00-$185,000.00 3 weeks ago Data Scientist III, Research, Search Ads Mountain View, CA $141,000.00-$202,000.00 1 week ago San Jose, CA $113,500.00-$250,000.00 4 days ago San Francisco, CA $140,000.00-$215,000.00 1 month ago San Francisco, CA $130,000.00-$238,000.00 2 weeks ago Machine Learning Engineer (I, II, or Sr.) Mountain View, CA $125,400.00-$188,100.00 2 weeks ago Menlo Park, CA $180,000.00-$200,000.00 4 weeks ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Machine Learning Engineer, Motion Planning, Self-Driving Join to apply for the Machine Learning Engineer, Motion Planning, Self-Driving role at Tesla Machine Learning Engineer, Motion Planning, Self-Driving 1 year ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer, Motion Planning, Self-Driving role at Tesla What To Expect Tesla is looking for strong Machine Learning Engineers to help build foundation models for robotics to drive the future of autonomy across all current and future generations of vehicles. You will work on a lean team without boundaries and have access to one of the world's largest training clusters. Most importantly, you will see your work repeatedly shipped to and utilized by millions of Tesla's customers. What You'll Do Leverage millions of miles of driving data and interventions to build a robust and scalable end-to-end learning based self-driving systemUse cutting-edge techniques from generative modeling, imitation learning, and reinforcement learning to improve the planning and reasoning capabilities of our driving modelsExperiment with data generation and fleet data collection approaches to enhance the diversity and quality of training dataIntegrate directly with vehicle firmware and ship production quality, safety-critical software to the entirety of Tesla's vehicle fleet What You'll Bring Strong experience with Python, any major deep learning framework, and software engineering best practicesAn "under the hood" knowledge of deep learning modern architectures, optimization, model alignment, etc.Proven expertise in deploying production ML models for self-driving, robotics, or natural language processing at scaleComfort with C++ to help integrate with vehicle firmware and take projects from ideas to shipped products Benefits Compensation and Benefits Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deductionFamily-building, fertility, adoption and surrogacy benefitsDental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contributionCompany Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSAHealthcare and Dependent Care Flexible Spending Accounts (FSA)401(k) with employer match, Employee Stock Purchase Plans, and other financial benefitsCompany paid Basic Life, AD&D, short-term and long-term disability insuranceEmployee Assistance ProgramSick and Vacation time (Flex time for salary positions), and Paid HolidaysBack-up childcare and parenting support resourcesVoluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insuranceWeight Loss and Tobacco Cessation ProgramsTesla Babies programCommuter benefitsEmployee discounts and perks program Expected Compensation $140,000 - $420,000/annual salary + cash and stock awards + benefits Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. , TeslaSeniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesMotor Vehicle Manufacturing, Renewable Energy Semiconductor Manufacturing, and Utilities Referrals increase your chances of interviewing at Tesla by 2x Get notified about new Machine Learning Engineer jobs in Palo Alto, CA . Sunnyvale, CA $141,000.00-$202,000.00 2 weeks ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTubeStaff Software Engineer, AI/ML Recommendations, Rankings, Predictions, Google Ads Mountain View, CA $141,000.00-$202,000.00 1 week ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTubeMachine Learning Engineer (I, II, or Sr.) Sunnyvale, CA $141,000.00-$202,000.00 2 weeks ago San Jose, CA $120,700.00-$228,600.00 1 week ago Palo Alto, CA $150,000.00-$220,000.00 2 weeks ago San Jose, CA $120,700.00-$228,600.00 1 week ago Data Scientist III, Research, Search AI Overview Mountain View, CA $141,000.00-$202,000.00 1 week ago Data Scientist, Energy Analytics, Google Cloud Sunnyvale, CA $166,000.00-$244,000.00 1 week ago Fremont, CA $166,000.00-$244,000.00 2 weeks ago Machine Learning Engineer (I, II, or Sr.)(General Hire) Machine Learning Scientist Graduate - TikTok Recommendation - 2025 Start (PhD) San Jose, CA $145,000.00-$250,000.00 2 weeks ago New Grads 2025 - Software Engineer - Computer Vision/Deep Learning San Jose, CA $120,000.00-$165,000.00 8 months ago Data Scientist III, Research, Search Ads Mountain View, CA $141,000.00-$202,000.00 1 week ago New Grads 2025 - Software Engineer, Algorithm San Jose, CA $120,000.00-$165,000.00 9 months ago San Jose, CA $113,500.00-$250,000.00 6 days ago Staff Data Scientist, Research, Search Platforms Mountain View, CA $197,000.00-$291,000.00 1 week ago Sunnyvale, CA $141,000.00-$202,000.00 1 week ago Menlo Park, CA $180,000.00-$200,000.00 4 weeks ago Software Engineer, AI Platform - New Grad San Jose, CA $120,700.00-$228,600.00 1 week ago Data Scientist, Product, Play Data Science and Analytics Mountain View, CA $183,000.00-$271,000.00 1 week ago San Jose, CA $113,500.00-$250,000.00 4 days ago Software Engineer III, AI/ML Computer Vision, Core Mountain View, CA $141,000.00-$202,000.00 1 hour ago San Jose, CA $119,000.00-$177,000.00 1 day ago San Jose, CA $120,700.00-$301,200.00 1 week ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
04/02/2026
Full time
Machine Learning Engineer, Motion Planning, Self-Driving Join to apply for the Machine Learning Engineer, Motion Planning, Self-Driving role at Tesla Machine Learning Engineer, Motion Planning, Self-Driving 1 year ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer, Motion Planning, Self-Driving role at Tesla What To Expect Tesla is looking for strong Machine Learning Engineers to help build foundation models for robotics to drive the future of autonomy across all current and future generations of vehicles. You will work on a lean team without boundaries and have access to one of the world's largest training clusters. Most importantly, you will see your work repeatedly shipped to and utilized by millions of Tesla's customers. What You'll Do Leverage millions of miles of driving data and interventions to build a robust and scalable end-to-end learning based self-driving systemUse cutting-edge techniques from generative modeling, imitation learning, and reinforcement learning to improve the planning and reasoning capabilities of our driving modelsExperiment with data generation and fleet data collection approaches to enhance the diversity and quality of training dataIntegrate directly with vehicle firmware and ship production quality, safety-critical software to the entirety of Tesla's vehicle fleet What You'll Bring Strong experience with Python, any major deep learning framework, and software engineering best practicesAn "under the hood" knowledge of deep learning modern architectures, optimization, model alignment, etc.Proven expertise in deploying production ML models for self-driving, robotics, or natural language processing at scaleComfort with C++ to help integrate with vehicle firmware and take projects from ideas to shipped products Benefits Compensation and Benefits Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deductionFamily-building, fertility, adoption and surrogacy benefitsDental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contributionCompany Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSAHealthcare and Dependent Care Flexible Spending Accounts (FSA)401(k) with employer match, Employee Stock Purchase Plans, and other financial benefitsCompany paid Basic Life, AD&D, short-term and long-term disability insuranceEmployee Assistance ProgramSick and Vacation time (Flex time for salary positions), and Paid HolidaysBack-up childcare and parenting support resourcesVoluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insuranceWeight Loss and Tobacco Cessation ProgramsTesla Babies programCommuter benefitsEmployee discounts and perks program Expected Compensation $140,000 - $420,000/annual salary + cash and stock awards + benefits Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. , TeslaSeniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesMotor Vehicle Manufacturing, Renewable Energy Semiconductor Manufacturing, and Utilities Referrals increase your chances of interviewing at Tesla by 2x Get notified about new Machine Learning Engineer jobs in Palo Alto, CA . Sunnyvale, CA $141,000.00-$202,000.00 2 weeks ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTubeStaff Software Engineer, AI/ML Recommendations, Rankings, Predictions, Google Ads Mountain View, CA $141,000.00-$202,000.00 1 week ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTubeMachine Learning Engineer (I, II, or Sr.) Sunnyvale, CA $141,000.00-$202,000.00 2 weeks ago San Jose, CA $120,700.00-$228,600.00 1 week ago Palo Alto, CA $150,000.00-$220,000.00 2 weeks ago San Jose, CA $120,700.00-$228,600.00 1 week ago Data Scientist III, Research, Search AI Overview Mountain View, CA $141,000.00-$202,000.00 1 week ago Data Scientist, Energy Analytics, Google Cloud Sunnyvale, CA $166,000.00-$244,000.00 1 week ago Fremont, CA $166,000.00-$244,000.00 2 weeks ago Machine Learning Engineer (I, II, or Sr.)(General Hire) Machine Learning Scientist Graduate - TikTok Recommendation - 2025 Start (PhD) San Jose, CA $145,000.00-$250,000.00 2 weeks ago New Grads 2025 - Software Engineer - Computer Vision/Deep Learning San Jose, CA $120,000.00-$165,000.00 8 months ago Data Scientist III, Research, Search Ads Mountain View, CA $141,000.00-$202,000.00 1 week ago New Grads 2025 - Software Engineer, Algorithm San Jose, CA $120,000.00-$165,000.00 9 months ago San Jose, CA $113,500.00-$250,000.00 6 days ago Staff Data Scientist, Research, Search Platforms Mountain View, CA $197,000.00-$291,000.00 1 week ago Sunnyvale, CA $141,000.00-$202,000.00 1 week ago Menlo Park, CA $180,000.00-$200,000.00 4 weeks ago Software Engineer, AI Platform - New Grad San Jose, CA $120,700.00-$228,600.00 1 week ago Data Scientist, Product, Play Data Science and Analytics Mountain View, CA $183,000.00-$271,000.00 1 week ago San Jose, CA $113,500.00-$250,000.00 4 days ago Software Engineer III, AI/ML Computer Vision, Core Mountain View, CA $141,000.00-$202,000.00 1 hour ago San Jose, CA $119,000.00-$177,000.00 1 day ago San Jose, CA $120,700.00-$301,200.00 1 week ago We're unlocking community knowledge in a new way. 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Software Engineering Manager - Core Team Join us at Medra as a Software Engineering Manager to help build our Physical AI Scientist platform, enabling scientific instruments with human level dexterity and autonomous analysis. The Team: Mission driven engineers from Tesla, Amazon, SpaceX, Neuralink, and more, collaborating fast and enjoying both work and team trips. Passionate about engineering, robotics, race cars, cooking, and continuous learning. Opinionated, straightforward, and conflict resolved quickly and empathetically. In this role, you will: Design and implement user experiences that spark joy for our customers. Build internal tools to support our robotic fleet efficiently. Lead and grow a talented team of software engineers. Let's talk if you have: Proficiency with Python and rapid iteration. Experience building interactive front ends with React or similar. Experience with TypeScript. Understanding of web programming (HTML, CSS, JavaScript, HTTP, REST). Backend system design and implementation experience. Willingness to wear many hats and adapt to shifting priorities. Ability to move fast in a loosely defined environment. Passion for learning and expanding skills. Experience managing software engineers. Nice to have: Experience with database technologies like PostgreSQL and Redis. Interest and experience in robotics, machine learning, or computer vision, especially with hardware. This position is 100% in person; you must be able to come to our San Francisco office. We offer relocation benefits for suitable candidates. What we offer Opportunity to change the way scientific research is conducted. Fast paced, creative, collaborative work environment. Significant equity ownership. 401(k) plan. Medical and dental insurance. Unlimited PTO. Medra is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion, disability, medical condition, genetic information, sex, sexual orientation, gender identity, age, marital status, military or veteran status, citizenship, or other protected characteristics. We value diversity and welcome applications from underrepresented groups in tech. If you like the sound of this position but are not sure you are the perfect fit, please apply! Seniority level Mid Senior Employment type Full time Job function Engineering and Information Technology
04/02/2026
Full time
Software Engineering Manager - Core Team Join us at Medra as a Software Engineering Manager to help build our Physical AI Scientist platform, enabling scientific instruments with human level dexterity and autonomous analysis. The Team: Mission driven engineers from Tesla, Amazon, SpaceX, Neuralink, and more, collaborating fast and enjoying both work and team trips. Passionate about engineering, robotics, race cars, cooking, and continuous learning. Opinionated, straightforward, and conflict resolved quickly and empathetically. In this role, you will: Design and implement user experiences that spark joy for our customers. Build internal tools to support our robotic fleet efficiently. Lead and grow a talented team of software engineers. Let's talk if you have: Proficiency with Python and rapid iteration. Experience building interactive front ends with React or similar. Experience with TypeScript. Understanding of web programming (HTML, CSS, JavaScript, HTTP, REST). Backend system design and implementation experience. Willingness to wear many hats and adapt to shifting priorities. Ability to move fast in a loosely defined environment. Passion for learning and expanding skills. Experience managing software engineers. Nice to have: Experience with database technologies like PostgreSQL and Redis. Interest and experience in robotics, machine learning, or computer vision, especially with hardware. This position is 100% in person; you must be able to come to our San Francisco office. We offer relocation benefits for suitable candidates. What we offer Opportunity to change the way scientific research is conducted. Fast paced, creative, collaborative work environment. Significant equity ownership. 401(k) plan. Medical and dental insurance. Unlimited PTO. Medra is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion, disability, medical condition, genetic information, sex, sexual orientation, gender identity, age, marital status, military or veteran status, citizenship, or other protected characteristics. We value diversity and welcome applications from underrepresented groups in tech. If you like the sound of this position but are not sure you are the perfect fit, please apply! Seniority level Mid Senior Employment type Full time Job function Engineering and Information Technology
Overview AI can be a powerful tool for good in the world - at Altana we apply AI to the world's largest organized body of supply chain data to power a more resilient, more secure, and more sustainable model of global commerce. Our customers connect to the Altana network to build resilience for critical industries and infrastructure, automate and safeguard cross-border trade, transform insurance underwriting, protect national security, combat modern slave labor, disrupt fentanyl trafficking, and ensure that their products are sustainable. Altana is backed by leading investors and used by the world's most important organizations, including Lloyd's, Maersk, multiple government agencies across the US, UK, EU, Singapore, and Australia, General Atomics, Boston Scientific, and more. We are building a global platform connecting the public and private sectors into an AI-powered network for building trusted supply chains. We operate in accordance with our values: we focus on value creation, not capture; we foster diversity and embrace difference; we embrace reality; we get things done; we amaze our clients. When you join Altana, you'll be joining a vibrant, collaborative team working together to solve complex problems with the potential for global societal impact. The Opportunity at Altana The Engineering team is responsible for building out the platforms, API's, services, workflows, and logical architectures for bringing this vision to life. We are creating a platform fundamentally driven by AI, which scales to a massive trove of data, and a diverse customer base; it is a complex system that will stretch engineering in many directions. You'll work closely with our Data Scientists on projects to analyze and observe world-scale datasets, write code that can scale to produce never-before-seen insights, and construct APIs to deliver our product vision. You Will Ingest product requirements, define technical requirements, and design practical, iterative technology designs that achieve our product and technical goals. Work with your product manager to develop implementation plans against our technical product roadmaps. Personally maintain, develop, and deploy services creating and supporting our overall architecture. Analyze and propose technical solutions to invent, enable, and enhance our product offerings. Be responsible for automating, testing, and deploying your own and your team's work. Review the code and technical designs authored by your team members while holding a high bar for quality. Mentor developers and help them level up their skills. Be responsible for the day-to-day work of a team of engineers and ensure that the team is progressing along the defined roadmap. Drive technical decision-making and problem-solving across the team, ensuring solutions are efficient, scalable, and maintainable. Serve as the first point of escalation for a portion of the product surface area. You Have BS or MS degree in Computer Science, or equivalent experience. 5+ years of real-world professional experience writing back end or data-driven software in demanding environments. You've deployed production code and services to cloud-hosted environments. You have demonstrated experience delivering incremental releases from proof-of-concept to MVP to production. Self-starter with demonstrated experience working on large, complex problems. You care deeply about engineering excellence, clean code, and knowledge-sharing. You have strong written and verbal communication skills. Experience leading other engineers on complex projects. Nice To Have, But Not Required Experience with Python Machine Learning toolsets (Numpy, Pandas, Dedupe). Experience with container technologies like Docker and Kubernetes. Technologies we love to use at Altana Languages: Python, PySpark Tools: Docker, Git, Kubernetes, Swagger/OpenAPI, AWS/Azure, MLFlow, Celery Datastores: Databricks and Delta Lakes This role can be based in either of our Altana New York or San Francisco, CA hub locations, with hybrid work flexibility. Why it's great to work at Altana We love to collaborate, and we win as a team! We are committed to engineering excellence We value personal and professional development We learn from diverse backgrounds and perspectives We impact the world, from enabling developing countries to identifying drug traffickers At Altana, we believe that a diverse workforce enables greater creativity, performance, and adaptability. We're proud to be an equal opportunity employer and welcome you to join us as you are. Our employment opportunities and decisions are based on business needs and individual qualifications, without regard to race, color, religious creed, national origin, ancestry, age, physical or mental disability, medical condition, marital status, sexual orientation, gender identity or expression, genetic information, family care or medical leave status, military or veteran status, or any other characteristic protected by the laws or regulations in the areas in which we operate. We prohibit discrimination and harassment of any type, in any situation. Offers related to employment at Altana will come from an Altana.ai email address. We will never ask for payment as part of the interview or onboarding process. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Altana by 2x Get notified about new Lead Software Engineer jobs in San Francisco, CA. San Francisco, CA $251,600.00-$372,700.00 3 days ago San Francisco, CA $200,000.00-$230,000.00 1 day ago Senior Software Engineer - Buyer Pricing San Francisco, CA $200,000.00-$250,000.00 2 weeks ago Senior Software Engineer - Always-On Carrier Rep San Francisco, CA $160,000.00-$240,000.00 1 day ago San Francisco, CA $300,000.00-$500,000.00 1 day ago Senior Robotics Software Engineer, Planning and Control San Francisco, CA $150,000.00-$260,000.00 4 months ago Senior Software Engineer - Dispatch Product San Francisco, CA $160,000.00-$240,000.00 1 day ago Senior Software Engineer - Carrier Product San Francisco, CA $160,000.00-$240,000.00 1 day ago Director of Software Engineering - Geospatial / Satellite Data / Python / AWS (Remote/Hybrid) San Francisco Bay Area $175,000.00-$225,000.00 3 weeks ago Senior Software Engineer / Engineering Manager (Mandarin-Speaking) Redwood City, CA $200,000.00-$300,000.00 6 days ago Senior Software Engineer, Benefits - Employer Experience San Francisco, CA $159,000.00-$278,250.00 6 days ago We're unlocking community knowledge in a new way. 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04/02/2026
Full time
Overview AI can be a powerful tool for good in the world - at Altana we apply AI to the world's largest organized body of supply chain data to power a more resilient, more secure, and more sustainable model of global commerce. Our customers connect to the Altana network to build resilience for critical industries and infrastructure, automate and safeguard cross-border trade, transform insurance underwriting, protect national security, combat modern slave labor, disrupt fentanyl trafficking, and ensure that their products are sustainable. Altana is backed by leading investors and used by the world's most important organizations, including Lloyd's, Maersk, multiple government agencies across the US, UK, EU, Singapore, and Australia, General Atomics, Boston Scientific, and more. We are building a global platform connecting the public and private sectors into an AI-powered network for building trusted supply chains. We operate in accordance with our values: we focus on value creation, not capture; we foster diversity and embrace difference; we embrace reality; we get things done; we amaze our clients. When you join Altana, you'll be joining a vibrant, collaborative team working together to solve complex problems with the potential for global societal impact. The Opportunity at Altana The Engineering team is responsible for building out the platforms, API's, services, workflows, and logical architectures for bringing this vision to life. We are creating a platform fundamentally driven by AI, which scales to a massive trove of data, and a diverse customer base; it is a complex system that will stretch engineering in many directions. You'll work closely with our Data Scientists on projects to analyze and observe world-scale datasets, write code that can scale to produce never-before-seen insights, and construct APIs to deliver our product vision. You Will Ingest product requirements, define technical requirements, and design practical, iterative technology designs that achieve our product and technical goals. Work with your product manager to develop implementation plans against our technical product roadmaps. Personally maintain, develop, and deploy services creating and supporting our overall architecture. Analyze and propose technical solutions to invent, enable, and enhance our product offerings. Be responsible for automating, testing, and deploying your own and your team's work. Review the code and technical designs authored by your team members while holding a high bar for quality. Mentor developers and help them level up their skills. Be responsible for the day-to-day work of a team of engineers and ensure that the team is progressing along the defined roadmap. Drive technical decision-making and problem-solving across the team, ensuring solutions are efficient, scalable, and maintainable. Serve as the first point of escalation for a portion of the product surface area. You Have BS or MS degree in Computer Science, or equivalent experience. 5+ years of real-world professional experience writing back end or data-driven software in demanding environments. You've deployed production code and services to cloud-hosted environments. You have demonstrated experience delivering incremental releases from proof-of-concept to MVP to production. Self-starter with demonstrated experience working on large, complex problems. You care deeply about engineering excellence, clean code, and knowledge-sharing. You have strong written and verbal communication skills. Experience leading other engineers on complex projects. Nice To Have, But Not Required Experience with Python Machine Learning toolsets (Numpy, Pandas, Dedupe). Experience with container technologies like Docker and Kubernetes. Technologies we love to use at Altana Languages: Python, PySpark Tools: Docker, Git, Kubernetes, Swagger/OpenAPI, AWS/Azure, MLFlow, Celery Datastores: Databricks and Delta Lakes This role can be based in either of our Altana New York or San Francisco, CA hub locations, with hybrid work flexibility. Why it's great to work at Altana We love to collaborate, and we win as a team! We are committed to engineering excellence We value personal and professional development We learn from diverse backgrounds and perspectives We impact the world, from enabling developing countries to identifying drug traffickers At Altana, we believe that a diverse workforce enables greater creativity, performance, and adaptability. We're proud to be an equal opportunity employer and welcome you to join us as you are. Our employment opportunities and decisions are based on business needs and individual qualifications, without regard to race, color, religious creed, national origin, ancestry, age, physical or mental disability, medical condition, marital status, sexual orientation, gender identity or expression, genetic information, family care or medical leave status, military or veteran status, or any other characteristic protected by the laws or regulations in the areas in which we operate. We prohibit discrimination and harassment of any type, in any situation. Offers related to employment at Altana will come from an Altana.ai email address. We will never ask for payment as part of the interview or onboarding process. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Altana by 2x Get notified about new Lead Software Engineer jobs in San Francisco, CA. San Francisco, CA $251,600.00-$372,700.00 3 days ago San Francisco, CA $200,000.00-$230,000.00 1 day ago Senior Software Engineer - Buyer Pricing San Francisco, CA $200,000.00-$250,000.00 2 weeks ago Senior Software Engineer - Always-On Carrier Rep San Francisco, CA $160,000.00-$240,000.00 1 day ago San Francisco, CA $300,000.00-$500,000.00 1 day ago Senior Robotics Software Engineer, Planning and Control San Francisco, CA $150,000.00-$260,000.00 4 months ago Senior Software Engineer - Dispatch Product San Francisco, CA $160,000.00-$240,000.00 1 day ago Senior Software Engineer - Carrier Product San Francisco, CA $160,000.00-$240,000.00 1 day ago Director of Software Engineering - Geospatial / Satellite Data / Python / AWS (Remote/Hybrid) San Francisco Bay Area $175,000.00-$225,000.00 3 weeks ago Senior Software Engineer / Engineering Manager (Mandarin-Speaking) Redwood City, CA $200,000.00-$300,000.00 6 days ago Senior Software Engineer, Benefits - Employer Experience San Francisco, CA $159,000.00-$278,250.00 6 days ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
SAIGroup is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI powered enterprise software application companies. Our portfolio, a testament to our success, comprises rapidly growing AI companies that collectively cater to over 2,000+ major global customers, approaching $800 million in annual revenue, and employing a global workforce of over 4,000 individuals. SAIGroup invests in new ventures based on breakthrough AI based products that have the potential to disrupt existing enterprise software markets. SAIGroup's latest investment, JazzX AI, is a pioneering technology company on a mission to shape the future of work through an AGI platform purpose built for the enterprise. JazzX AI is not just building another AI tool-it's reimagining business processes from the ground up, enabling seamless collaboration between humans and intelligent systems. The result is a dramatic leap in productivity, efficiency, and decision velocity, empowering enterprises to become pacesetters who lead their industries and set new benchmarks for innovation and excellence. About the Role We are seeking an experienced AI Engineer with deep expertise in Reinforcement Learning (RL) to join our team as a Senior Staff Architect. In this role, you will be responsible for shaping the vision, architecture, and technical execution of RL driven AI reasoning models and systems that power next generation enterprise AGI platform. You will lead the design, development, and optimization of cutting edge RL solutions, from experimentation and simulation through production deployment. This includes building scalable training architectures, architecting multi agent and hierarchical RL frameworks, and ensuring that the RL systems are resilient, efficient, explainable and safe. Key Responsibilities Architecture & Design: Define and drive the end to end architecture for reinforcement learning-based systems, including training pipelines, simulation environments, reward shaping, and model serving. Research & Development: Apply cutting edge RL techniques (policy optimization, model based RL, hierarchical RL, multi agent RL, etc) to solve complex enterprise problems. Scalability & Infrastructure: Design distributed training systems, leverage cloud native infrastructure, and optimize for performance, reproducibility, and cost efficiency. Leadership & Mentorship: Provide technical leadership to AI engineers and researchers; mentor junior team members; review designs and code with a focus on scalability, robustness, and clarity. Collaboration: Partner with product, data, and platform teams to align RL solutions with strategic business goals and integrate them into production systems. Evaluation & Monitoring: Define frameworks for benchmarking, continuous evaluation, and feedback driven improvements in deployed RL models. Compliance & Safety: Ensure RL systems align with ethical AI practices, safety constraints, and regulatory standards for enterprises. Required Qualifications 10+ years of experience in AI/ML engineering, including at least 5 years specializing in reinforcement learning research and production systems. Demonstrated success in designing and deploying large scale RL architectures in enterprise environments. Deep expertise in reinforcement learning algorithms, including on policy (PPO, A3C) and off policy (SAC, DDPG) methods, along with hands on work in simulation frameworks (e.g., OpenAI Gym, Isaac Gym, PettingZoo, MuJoCo). Practical experience with multi agent reinforcement learning (MARL), including coordination strategies for complex environments. Strong proficiency in Reinforcement Learning with Verifiable Rewards (RLVR)and GRPO like policy optimization approaches, applying reinforcement learning principles both rigorously and pragmatically. Experience with test time compute optimization techniques, including inference time search, chain of thought reasoning, and adaptive computation strategies for improving model performance during deployment. Proven ability in large language model (LLM) training and fine tuning, across both supervised and reinforcement learning-driven techniques. Advanced software engineering skills in Python, C++, or Java, with deep expertise in ML frameworks such as TensorFlow, PyTorch, JAX, or Ray RLlib. Hands on experience with distributed training infrastructure (Kubernetes, GPU/TPU clusters, and cloud ML platforms). Excellent communication, collaboration, and leadership skills, with experience working across multidisciplinary teams. Preferred Qualifications PhD in Computer Science, Machine Learning, Robotics, or related field. Experience leading enterprise AI adoption and guiding organizational strategy for RL powered systems. Contributions to open source RL frameworks or publications in top tier conferences (NeurIPS, AISTATS, ICML, ICLR, AAAI). Background in safety, alignment, or explainability of RL agents. Why Join Us At JazzX AI, you have the opportunity to join the foundational team that is pushing the boundaries of what's possible to create an autonomous intelligence driven future. We encourage our team to pursue bold ideas, foster continuous learning, and embrace the challenges and rewards that come with building something truly innovative. Your work will directly contribute to pioneering solutions that have the potential to transform industries and redefine how we interact with technology. As an early member of our team, your voice will be pivotal in steering the direction of our projects and culture, offering an unparalleled chance to leave your mark on the future of AI. We offer a competitive salary, equity options, and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more. As set forth in JazzX AI's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
04/02/2026
Full time
SAIGroup is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI powered enterprise software application companies. Our portfolio, a testament to our success, comprises rapidly growing AI companies that collectively cater to over 2,000+ major global customers, approaching $800 million in annual revenue, and employing a global workforce of over 4,000 individuals. SAIGroup invests in new ventures based on breakthrough AI based products that have the potential to disrupt existing enterprise software markets. SAIGroup's latest investment, JazzX AI, is a pioneering technology company on a mission to shape the future of work through an AGI platform purpose built for the enterprise. JazzX AI is not just building another AI tool-it's reimagining business processes from the ground up, enabling seamless collaboration between humans and intelligent systems. The result is a dramatic leap in productivity, efficiency, and decision velocity, empowering enterprises to become pacesetters who lead their industries and set new benchmarks for innovation and excellence. About the Role We are seeking an experienced AI Engineer with deep expertise in Reinforcement Learning (RL) to join our team as a Senior Staff Architect. In this role, you will be responsible for shaping the vision, architecture, and technical execution of RL driven AI reasoning models and systems that power next generation enterprise AGI platform. You will lead the design, development, and optimization of cutting edge RL solutions, from experimentation and simulation through production deployment. This includes building scalable training architectures, architecting multi agent and hierarchical RL frameworks, and ensuring that the RL systems are resilient, efficient, explainable and safe. Key Responsibilities Architecture & Design: Define and drive the end to end architecture for reinforcement learning-based systems, including training pipelines, simulation environments, reward shaping, and model serving. Research & Development: Apply cutting edge RL techniques (policy optimization, model based RL, hierarchical RL, multi agent RL, etc) to solve complex enterprise problems. Scalability & Infrastructure: Design distributed training systems, leverage cloud native infrastructure, and optimize for performance, reproducibility, and cost efficiency. Leadership & Mentorship: Provide technical leadership to AI engineers and researchers; mentor junior team members; review designs and code with a focus on scalability, robustness, and clarity. Collaboration: Partner with product, data, and platform teams to align RL solutions with strategic business goals and integrate them into production systems. Evaluation & Monitoring: Define frameworks for benchmarking, continuous evaluation, and feedback driven improvements in deployed RL models. Compliance & Safety: Ensure RL systems align with ethical AI practices, safety constraints, and regulatory standards for enterprises. Required Qualifications 10+ years of experience in AI/ML engineering, including at least 5 years specializing in reinforcement learning research and production systems. Demonstrated success in designing and deploying large scale RL architectures in enterprise environments. Deep expertise in reinforcement learning algorithms, including on policy (PPO, A3C) and off policy (SAC, DDPG) methods, along with hands on work in simulation frameworks (e.g., OpenAI Gym, Isaac Gym, PettingZoo, MuJoCo). Practical experience with multi agent reinforcement learning (MARL), including coordination strategies for complex environments. Strong proficiency in Reinforcement Learning with Verifiable Rewards (RLVR)and GRPO like policy optimization approaches, applying reinforcement learning principles both rigorously and pragmatically. Experience with test time compute optimization techniques, including inference time search, chain of thought reasoning, and adaptive computation strategies for improving model performance during deployment. Proven ability in large language model (LLM) training and fine tuning, across both supervised and reinforcement learning-driven techniques. Advanced software engineering skills in Python, C++, or Java, with deep expertise in ML frameworks such as TensorFlow, PyTorch, JAX, or Ray RLlib. Hands on experience with distributed training infrastructure (Kubernetes, GPU/TPU clusters, and cloud ML platforms). Excellent communication, collaboration, and leadership skills, with experience working across multidisciplinary teams. Preferred Qualifications PhD in Computer Science, Machine Learning, Robotics, or related field. Experience leading enterprise AI adoption and guiding organizational strategy for RL powered systems. Contributions to open source RL frameworks or publications in top tier conferences (NeurIPS, AISTATS, ICML, ICLR, AAAI). Background in safety, alignment, or explainability of RL agents. Why Join Us At JazzX AI, you have the opportunity to join the foundational team that is pushing the boundaries of what's possible to create an autonomous intelligence driven future. We encourage our team to pursue bold ideas, foster continuous learning, and embrace the challenges and rewards that come with building something truly innovative. Your work will directly contribute to pioneering solutions that have the potential to transform industries and redefine how we interact with technology. As an early member of our team, your voice will be pivotal in steering the direction of our projects and culture, offering an unparalleled chance to leave your mark on the future of AI. We offer a competitive salary, equity options, and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more. As set forth in JazzX AI's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
Join to apply for the Staff Computer Vision Data Scientist role at LineVision Join to apply for the Staff Computer Vision Data Scientist role at LineVision Remote-Hybrid: Boston, MA Headquarters or Boulder, CO Hub Office Empower the clean energy transition by leading cutting-edge computer vision innovation in real-world, mission-critical environments for the global electric grid . We are seeking a Staff Computer Vision Data Scientist to join our mission-driven team and lead the development of advanced computer vision capabilities across our product ecosystem. This role blends deep technical expertise with mentorship and innovation to expand the frontier of what's possible in real-world computer vision-particularly in complex, uncontrolled outdoor environments. If you are looking to contribute to a high-impact, fast-paced company where your work accelerates the deployment of clean energy technology, join us at LineVision, Built In Boston and Colorado Best Places to Work ! What will you do? Core Responsibilities And Key Performance Objectives Architect and own a sustainable, end-to-end machine learning training pipeline for CV models. Champion and deliver edge-deployable CV models that are robust, efficient, and optimized for low-power environments in remote areas. Mentor and coach data scientists and engineers in CV fundamentals, best practices, and emerging techniques. Develop, deploy, and maintain multiple CV models addressing a range of environmental and sensing contexts by gathering and curating novel ML training sets. Lead strategic initiatives involving multimodal data fusion (e.g., combining satellite, drone, LiDAR, multispectral, low-light, and RGB camera data). Within the first 3 months: Fully onboard and assess current ML training pipelines and CV infrastructure. Begin developing a roadmap for a robust, sustainable training system. Build relationships across Data Science, Software, and Sensor Hardware teams to understand pain points and opportunities. Within the first 6 months: Deliver a working MVP of a model training pipeline tailored to LineVision's data constraints and goals. Guide team members through project-based mentoring and technical knowledge transfer. Pilot an early-stage edge-deployable CV model for field testing. Within the first year: Stand up and document a scalable, production-grade CV training and deployment system. Ship multiple robust CV models in production, including at least one optimized for edge processing. Build a track record of successfully translating general product requirements into actionable tasks and clearly defined model performance metrics. Develop best-practice guidelines, model accuracy benchmarks, and reusable assets for future CV models. How to succeed in this role Key Competencies Delivering Innovative Solutions: Design novel systems and scrappy workflows to generate and curate fit-for-purpose ML training and testing imagery. Empowering Others: Level up overall team capability through mentorship, paired work, and shared learning. Judgment & Decision Making: Make technically sound choices that balance experimentation with performance constraints. Stakeholder Management: Bring clarity and alignment on complex CV topics across technical and non-technical stakeholders. Essential Skills Deep experience building new CV systems from the ground up-not just optimizing components of legacy pipelines. Expertise in working with uncontrolled environmental imagery (e.g., outdoor, variable lighting, occlusion-heavy, and complex natural backgrounds). Strong knowledge of both classical and machine learning CV techniques, including feature matching, segmentation, edge detection, pose estimation, etc. Proficiency in Python and tools like OpenCV, scikit-image, Roboflow, and anomalib. What Sets The Best Candidates Apart Creativity and practicality in building training datasets, including the use of public datasets, synthetic imagery, and domain adaptation techniques. Experience deploying ML models to edge devices with compute and power constraints. Strong physics intuition and ability to reason through sensor phenomena and imaging artifacts. Familiarity with AWS SageMaker, image labeling pipelines, and cross-sensor data fusion. Ability to communicate CV concepts clearly and build trust and confidence across scientific and executive teams. Reporting & Team Structure Reports to the Senior Director of Data Science. Collaborates closely with Sensor Hardware Engineering, Software, Data Science, and Product teams. Expected to mentor junior and mid-level data scientists and serve as a CV domain expert within cross-functional squads. Interview Process Apply Online. Round 1: Phone screen (Recruiter) Round 2: Hiring Manager Interview Round 3: Panel Interviews Panel 1: Technical competency & experience Panel 2: Teamwork, culture fit, and customer presence Final Round: Leadership Team & Hiring Manager Sign-Off What does joining LineVision mean for you? Impact. Your talent, time, and energy will critically impact our success in accelerating our mission of growing grid capacity and resilience. Ownership. You will hold broad responsibilities with high autonomy and trust in a communicative, collaborative, and fast-paced environment. Flexibility. You will be empowered to maintain work-life balance with unlimited PTO and a flexible remote work schedule. Real World Innovation. You will join a motivated and high-performing team working with cutting edge, patented technology to help solve key obstacles to the clean energy transition. Who we are We are a rapidly growing climate-tech company based in Boston, MA. Through our non-contact sensor, we enable electric utilities to serve increased load, integrate more renewable energy, ensure grid resilience, and enable mass electrification. With real-time monitoring and predictive analytics, we empower electric utilities to lead the clean energy transition. We are LineVisionaries: We are Innovators: we light the way with tenacious creativity and do good work. We are Empowered: With high trust and high autonomy, the floor is yours, and the opportunity is ours. We are Welcoming: Come as you are, our doors are open. We are better together. We are Trusted Partners: We elevate our customer champions through shared thought leadership. We deliver on commitments. We are All In: We are building a community of passionate individuals who want to dent the universe and accelerate the net-zero grid. At LineVision there's no such thing as a "perfect" candidate. We are looking for exceptional people who want to make a positive impact through their work and facilitate an organization where everyone can thrive. So whatever background you bring with you, please apply if this role would make you excited to come to work every day. Meet our team, and understand our mission: Salary Description $150,000-175,000/yearSeniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesUtilities and Services for Renewable Energy Referrals increase your chances of interviewing at LineVision by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Paid maternity leave Paid paternity leave Disability insurance Get notified when a new job is posted. Sign in to set job alerts for "Data Scientist" roles.Staff Data Scientist, Research, Search Platforms Cambridge, MA $197,000.00-$291,000.00 1 week ago Boston, MA $85,000.00-$120,000.00 3 hours ago Boston, MA $119,000.00-$169,000.00 1 month ago Boston, MA $90,000.00-$130,000.00 3 days ago Newton, MA $126,000.00-$175,000.00 2 weeks ago Research Scientist, Machine Learning for Human-Machine InteractionsClinical Scientist, Clinical Development Waltham, MA $140,000.00-$155,000.00 1 month ago Boston, MA $160,000.00-$280,000.00 1 year ago Boston, MA $130,000.00-$175,000.00 2 weeks ago Cambridge, MA $141,000.00-$202,000.00 2 weeks ago Amazon Robotics - Data Scientist (New Grad), Amazon Robotics, Software Research and ScienceSenior Staff Data Scientist, Search Platforms Cambridge, MA $248,000.00-$349,000.00 2 weeks ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
04/02/2026
Full time
Join to apply for the Staff Computer Vision Data Scientist role at LineVision Join to apply for the Staff Computer Vision Data Scientist role at LineVision Remote-Hybrid: Boston, MA Headquarters or Boulder, CO Hub Office Empower the clean energy transition by leading cutting-edge computer vision innovation in real-world, mission-critical environments for the global electric grid . We are seeking a Staff Computer Vision Data Scientist to join our mission-driven team and lead the development of advanced computer vision capabilities across our product ecosystem. This role blends deep technical expertise with mentorship and innovation to expand the frontier of what's possible in real-world computer vision-particularly in complex, uncontrolled outdoor environments. If you are looking to contribute to a high-impact, fast-paced company where your work accelerates the deployment of clean energy technology, join us at LineVision, Built In Boston and Colorado Best Places to Work ! What will you do? Core Responsibilities And Key Performance Objectives Architect and own a sustainable, end-to-end machine learning training pipeline for CV models. Champion and deliver edge-deployable CV models that are robust, efficient, and optimized for low-power environments in remote areas. Mentor and coach data scientists and engineers in CV fundamentals, best practices, and emerging techniques. Develop, deploy, and maintain multiple CV models addressing a range of environmental and sensing contexts by gathering and curating novel ML training sets. Lead strategic initiatives involving multimodal data fusion (e.g., combining satellite, drone, LiDAR, multispectral, low-light, and RGB camera data). Within the first 3 months: Fully onboard and assess current ML training pipelines and CV infrastructure. Begin developing a roadmap for a robust, sustainable training system. Build relationships across Data Science, Software, and Sensor Hardware teams to understand pain points and opportunities. Within the first 6 months: Deliver a working MVP of a model training pipeline tailored to LineVision's data constraints and goals. Guide team members through project-based mentoring and technical knowledge transfer. Pilot an early-stage edge-deployable CV model for field testing. Within the first year: Stand up and document a scalable, production-grade CV training and deployment system. Ship multiple robust CV models in production, including at least one optimized for edge processing. Build a track record of successfully translating general product requirements into actionable tasks and clearly defined model performance metrics. Develop best-practice guidelines, model accuracy benchmarks, and reusable assets for future CV models. How to succeed in this role Key Competencies Delivering Innovative Solutions: Design novel systems and scrappy workflows to generate and curate fit-for-purpose ML training and testing imagery. Empowering Others: Level up overall team capability through mentorship, paired work, and shared learning. Judgment & Decision Making: Make technically sound choices that balance experimentation with performance constraints. Stakeholder Management: Bring clarity and alignment on complex CV topics across technical and non-technical stakeholders. Essential Skills Deep experience building new CV systems from the ground up-not just optimizing components of legacy pipelines. Expertise in working with uncontrolled environmental imagery (e.g., outdoor, variable lighting, occlusion-heavy, and complex natural backgrounds). Strong knowledge of both classical and machine learning CV techniques, including feature matching, segmentation, edge detection, pose estimation, etc. Proficiency in Python and tools like OpenCV, scikit-image, Roboflow, and anomalib. What Sets The Best Candidates Apart Creativity and practicality in building training datasets, including the use of public datasets, synthetic imagery, and domain adaptation techniques. Experience deploying ML models to edge devices with compute and power constraints. Strong physics intuition and ability to reason through sensor phenomena and imaging artifacts. Familiarity with AWS SageMaker, image labeling pipelines, and cross-sensor data fusion. Ability to communicate CV concepts clearly and build trust and confidence across scientific and executive teams. Reporting & Team Structure Reports to the Senior Director of Data Science. Collaborates closely with Sensor Hardware Engineering, Software, Data Science, and Product teams. Expected to mentor junior and mid-level data scientists and serve as a CV domain expert within cross-functional squads. Interview Process Apply Online. Round 1: Phone screen (Recruiter) Round 2: Hiring Manager Interview Round 3: Panel Interviews Panel 1: Technical competency & experience Panel 2: Teamwork, culture fit, and customer presence Final Round: Leadership Team & Hiring Manager Sign-Off What does joining LineVision mean for you? Impact. Your talent, time, and energy will critically impact our success in accelerating our mission of growing grid capacity and resilience. Ownership. You will hold broad responsibilities with high autonomy and trust in a communicative, collaborative, and fast-paced environment. Flexibility. You will be empowered to maintain work-life balance with unlimited PTO and a flexible remote work schedule. Real World Innovation. You will join a motivated and high-performing team working with cutting edge, patented technology to help solve key obstacles to the clean energy transition. Who we are We are a rapidly growing climate-tech company based in Boston, MA. Through our non-contact sensor, we enable electric utilities to serve increased load, integrate more renewable energy, ensure grid resilience, and enable mass electrification. With real-time monitoring and predictive analytics, we empower electric utilities to lead the clean energy transition. We are LineVisionaries: We are Innovators: we light the way with tenacious creativity and do good work. We are Empowered: With high trust and high autonomy, the floor is yours, and the opportunity is ours. We are Welcoming: Come as you are, our doors are open. We are better together. We are Trusted Partners: We elevate our customer champions through shared thought leadership. We deliver on commitments. We are All In: We are building a community of passionate individuals who want to dent the universe and accelerate the net-zero grid. At LineVision there's no such thing as a "perfect" candidate. We are looking for exceptional people who want to make a positive impact through their work and facilitate an organization where everyone can thrive. So whatever background you bring with you, please apply if this role would make you excited to come to work every day. Meet our team, and understand our mission: Salary Description $150,000-175,000/yearSeniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesUtilities and Services for Renewable Energy Referrals increase your chances of interviewing at LineVision by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Paid maternity leave Paid paternity leave Disability insurance Get notified when a new job is posted. Sign in to set job alerts for "Data Scientist" roles.Staff Data Scientist, Research, Search Platforms Cambridge, MA $197,000.00-$291,000.00 1 week ago Boston, MA $85,000.00-$120,000.00 3 hours ago Boston, MA $119,000.00-$169,000.00 1 month ago Boston, MA $90,000.00-$130,000.00 3 days ago Newton, MA $126,000.00-$175,000.00 2 weeks ago Research Scientist, Machine Learning for Human-Machine InteractionsClinical Scientist, Clinical Development Waltham, MA $140,000.00-$155,000.00 1 month ago Boston, MA $160,000.00-$280,000.00 1 year ago Boston, MA $130,000.00-$175,000.00 2 weeks ago Cambridge, MA $141,000.00-$202,000.00 2 weeks ago Amazon Robotics - Data Scientist (New Grad), Amazon Robotics, Software Research and ScienceSenior Staff Data Scientist, Search Platforms Cambridge, MA $248,000.00-$349,000.00 2 weeks ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Senior Embedded Software Engineer, Camera Latitude AI ( lat.ai ) develops automated driving technologies, including L3, for Ford vehicles at scale. We're driven by the opportunity to reimagine what it's like to drive and make travel safer, less stressful, and more enjoyable for everyone. When you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering - all dedicated to making a real, positive impact on the driving experience for millions of people. As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif. Meet the team: The Embedded Software team is responsible for developing the hardware drivers, hardware safety monitoring, and vehicle interfaces for the autonomy system. As an embedded software engineer on the sensor firmware team, you will be responsible for the design and implementation of the embedded software for the camera sensing system. We're looking for someone who has a passion and expertise in developing safe, efficient software for vision systems. What you'll do: Deliver safe and efficient embedded software for state-of-the-art camera firmware and peripheral drivers Produce high-quality, maintainable code using C++ Create architecture and designs in alignment with Functional Safety standards Design, implement, and test low level imager drivers, bus (I2C, CSI) and peripheral drivers running in resource-constrained environments Support vision firmware builds for product intent and manufacturing needs Work closely with a multidisciplinary team of hardware, software, and system engineers to ensure the success of our product What you'll need to succeed: Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD) 4 Years of strong experience developing embedded peripheral drivers and systems using C and/or C++ Strong software design, algorithm, problem-solving, and analytical skills Experience with multi-processor SoCs or similar embedded processors used in camera and vision processing Familiarity with Embedded OS such as FreeRTOS/SafeRTOS and Linux desired Prefer candidates with experience developing software for highly complex, safety-critical sensing systems Nice to have: Strong knowledge and experience working on Camera drivers, Automotive Serdes technologies and Imagers Track record of technical leadership in automotive or related fields taking products to production What we offer you: Competitive compensation packages High-quality individual and family medical, dental, and vision insurance Health savings account with available employer match Employer-matched 401(k) retirement plan with immediate vesting-li> Employer-paid group term life insurance and the option to elect voluntary life insurance Paid parental leave Paid medical leave Unlimited vacation 15 paid holidays Daily lunches, snacks, and beverages available in all office locations Pre-tax spending accounts for healthcare and dependent care expenses Monthly wellness stipend Adoption/Surrogacy support program Backup child and elder care program Employee assistance program Discounted programs that include legal services, identity theft protection, pet insurance, and more Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives Learn more about Latitude's team, mission and career opportunities at lat.ai ! The expected base salary range for this full-time position in California is $179,200 - $268,800 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude's annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements. Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
04/02/2026
Full time
Senior Embedded Software Engineer, Camera Latitude AI ( lat.ai ) develops automated driving technologies, including L3, for Ford vehicles at scale. We're driven by the opportunity to reimagine what it's like to drive and make travel safer, less stressful, and more enjoyable for everyone. When you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering - all dedicated to making a real, positive impact on the driving experience for millions of people. As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif. Meet the team: The Embedded Software team is responsible for developing the hardware drivers, hardware safety monitoring, and vehicle interfaces for the autonomy system. As an embedded software engineer on the sensor firmware team, you will be responsible for the design and implementation of the embedded software for the camera sensing system. We're looking for someone who has a passion and expertise in developing safe, efficient software for vision systems. What you'll do: Deliver safe and efficient embedded software for state-of-the-art camera firmware and peripheral drivers Produce high-quality, maintainable code using C++ Create architecture and designs in alignment with Functional Safety standards Design, implement, and test low level imager drivers, bus (I2C, CSI) and peripheral drivers running in resource-constrained environments Support vision firmware builds for product intent and manufacturing needs Work closely with a multidisciplinary team of hardware, software, and system engineers to ensure the success of our product What you'll need to succeed: Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD) 4 Years of strong experience developing embedded peripheral drivers and systems using C and/or C++ Strong software design, algorithm, problem-solving, and analytical skills Experience with multi-processor SoCs or similar embedded processors used in camera and vision processing Familiarity with Embedded OS such as FreeRTOS/SafeRTOS and Linux desired Prefer candidates with experience developing software for highly complex, safety-critical sensing systems Nice to have: Strong knowledge and experience working on Camera drivers, Automotive Serdes technologies and Imagers Track record of technical leadership in automotive or related fields taking products to production What we offer you: Competitive compensation packages High-quality individual and family medical, dental, and vision insurance Health savings account with available employer match Employer-matched 401(k) retirement plan with immediate vesting-li> Employer-paid group term life insurance and the option to elect voluntary life insurance Paid parental leave Paid medical leave Unlimited vacation 15 paid holidays Daily lunches, snacks, and beverages available in all office locations Pre-tax spending accounts for healthcare and dependent care expenses Monthly wellness stipend Adoption/Surrogacy support program Backup child and elder care program Employee assistance program Discounted programs that include legal services, identity theft protection, pet insurance, and more Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives Learn more about Latitude's team, mission and career opportunities at lat.ai ! The expected base salary range for this full-time position in California is $179,200 - $268,800 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude's annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements. Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
Senior Embedded Software Engineer, Camera Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We're driven by the opportunity to reimagine what it's like to drive and make travel safer, less stressful, and more enjoyable for everyone. When you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering-all dedicated to making a real, positive impact on the driving experience for millions of people. As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif. Meet The Team The Embedded Software team is responsible for developing the hardware drivers, hardware safety monitoring, and vehicle interfaces for the autonomy system. As an embedded software engineer on the sensor firmware team, you will be responsible for the design and implementation of the embedded software for the camera sensing system. We're looking for someone who has a passion and expertise in developing safe, efficient software for vision systems. What You'll Do Deliver safe and efficient embedded software for state of the art camera firmware and peripheral drivers Produce high quality, maintainable code using C++ Create architecture and designs in alignment with Functional Safety standards Design, implement, and test low level imager drivers, bus (I2C, CSI) and peripheral drivers running in resource constrained environments Support vision firmware builds for product intent and manufacturing needs Work closely with a multidisciplinary team of hardware, software, and system engineers to ensure the success of our product What You'll Need To Succeed Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD) 4 Years of strong experience developing embedded peripheral drivers and systems using C and/or C++ Strong software design, algorithm, problem solving, and analytical skills Experience with multi processor SoCs or similar embedded processors used in camera and vision processing Familiarity with Embedded OS such as FreeRTOS/SafeRTOS and Linux desired Prefer candidates with experience developing software for highly complex, safety critical sensing systems Nice To Have Strong knowledge and experience working on Camera drivers, Automotive Serdes technologies and Imagers Track record of technical leadership in automotive or related fields taking products to production What We Offer You Competitive compensation packages High quality individual and family medical, dental, and vision insurance Health savings account with available employer match Employer matched 401(k) retirement plan with immediate vesting Employer paid group term life insurance and the option to elect voluntary life insurance Paid parental leave Paid medical leave Unlimited vacation 15 paid holidays Daily lunches, snacks, and beverages available in all office locations Pre tax spending accounts for healthcare and dependent care expenses Pre tax commuter benefits Monthly wellness stipend Adoption/Surrogacy support program Backup child and elder care program Professional development reimbursement Employee assistance program Discounted programs that include legal services, identity theft protection, pet insurance, and more Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives The expected base salary range for this full time position in California is $179,200 - $268,800 USD. Actual starting pay will be based on job related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude's annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements. Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
04/02/2026
Full time
Senior Embedded Software Engineer, Camera Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We're driven by the opportunity to reimagine what it's like to drive and make travel safer, less stressful, and more enjoyable for everyone. When you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering-all dedicated to making a real, positive impact on the driving experience for millions of people. As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif. Meet The Team The Embedded Software team is responsible for developing the hardware drivers, hardware safety monitoring, and vehicle interfaces for the autonomy system. As an embedded software engineer on the sensor firmware team, you will be responsible for the design and implementation of the embedded software for the camera sensing system. We're looking for someone who has a passion and expertise in developing safe, efficient software for vision systems. What You'll Do Deliver safe and efficient embedded software for state of the art camera firmware and peripheral drivers Produce high quality, maintainable code using C++ Create architecture and designs in alignment with Functional Safety standards Design, implement, and test low level imager drivers, bus (I2C, CSI) and peripheral drivers running in resource constrained environments Support vision firmware builds for product intent and manufacturing needs Work closely with a multidisciplinary team of hardware, software, and system engineers to ensure the success of our product What You'll Need To Succeed Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD) 4 Years of strong experience developing embedded peripheral drivers and systems using C and/or C++ Strong software design, algorithm, problem solving, and analytical skills Experience with multi processor SoCs or similar embedded processors used in camera and vision processing Familiarity with Embedded OS such as FreeRTOS/SafeRTOS and Linux desired Prefer candidates with experience developing software for highly complex, safety critical sensing systems Nice To Have Strong knowledge and experience working on Camera drivers, Automotive Serdes technologies and Imagers Track record of technical leadership in automotive or related fields taking products to production What We Offer You Competitive compensation packages High quality individual and family medical, dental, and vision insurance Health savings account with available employer match Employer matched 401(k) retirement plan with immediate vesting Employer paid group term life insurance and the option to elect voluntary life insurance Paid parental leave Paid medical leave Unlimited vacation 15 paid holidays Daily lunches, snacks, and beverages available in all office locations Pre tax spending accounts for healthcare and dependent care expenses Pre tax commuter benefits Monthly wellness stipend Adoption/Surrogacy support program Backup child and elder care program Professional development reimbursement Employee assistance program Discounted programs that include legal services, identity theft protection, pet insurance, and more Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives The expected base salary range for this full time position in California is $179,200 - $268,800 USD. Actual starting pay will be based on job related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude's annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements. Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
Senior Embedded Software Engineer, Networking Pittsburgh, PA, Palo Alto, CA, Detroit, MI Latitude AI ( lat.ai ) develops automated driving technologies, including L3, for Ford vehicles at scale. We're driven by the opportunity to reimagine what it's like to drive and make travel safer, less stressful, and more enjoyable for everyone. When you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering - all dedicated to making a real, positive impact on the driving experience for millions of people. As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif. Meet the team: The Onboard Platforms team is an embedded software team responsible for the development and maintenance of the operating system, on-vehicle network, timesync, vehicle interface, and security for the L1/L2/L3 autonomous vehicle compute clusters. What you'll do: Deliver safe and efficient embedded software for state of the art sensing systems Produce high quality, maintainable code using C++ Design and optimize in vehicle networks to communicate with the sensors and provide the common timebase for the autonomy software Design, implement, and test full stack software running in resource constrained environments Work closely with a multidisciplinary team of hardware, software and system engineers to ensure the success of our product What you'll need to succeed: Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD) Strong experience developing embedded applications and systems using C++ Proficient in network communication concepts including protocols, physical layer requirements, bandwidth characteristics, and configuration Knowledge of TCP/IP, Ethernet, CAN, and experience working with Marvell/Broadcom (or similar automotive grade) Ethernet switches, including low level configuration, firmware interaction, and troubleshooting hardware software interface issues Strong software design, algorithm, problem solving, and analytical skills Experience with multi processor SoCs or similar embedded processors Experience with time synchronization, IEEE802.1AS, and Linux PTP is preferred Prefer candidates with experience developing software for highly complex, safety critical sensing systems with specific emphasis on network design for fault detection, and time synchronization for safety critical data paths Nice to have: Understanding of networking and time sensitive networking Experience with Yocto/OpenEmbedded, buildroot, or similar Linux packaging technologies Track record of technical leadership in automotive or related fields taking products to production What we offer you: Competitive compensation packages High quality individual and family medical, dental, and vision insurance Health savings account with available employer match Employer matched 401(k) retirement plan with immediate vesting Employer paid group term life insurance and the option to elect voluntary life insurance Paid parental leave Paid medical leave Unlimited vacation 15 paid holidays Daily lunches, snacks, and beverages available in all office locations Pre tax spending accounts for healthcare and dependent care expenses Monthly wellness stipend Adoption/Surrogacy support program Backup child and elder care programEmployee assistance program Discounted programs that include legal services, identity theft protection, pet insurance, and more Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives Learn more about Latitude's team, mission and career opportunities at lat.ai! The expected base salary range for this full time position in California is $179,200 - $268,800 USD. Actual starting pay will be based on job related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude's annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements. Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
04/02/2026
Full time
Senior Embedded Software Engineer, Networking Pittsburgh, PA, Palo Alto, CA, Detroit, MI Latitude AI ( lat.ai ) develops automated driving technologies, including L3, for Ford vehicles at scale. We're driven by the opportunity to reimagine what it's like to drive and make travel safer, less stressful, and more enjoyable for everyone. When you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering - all dedicated to making a real, positive impact on the driving experience for millions of people. As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif. Meet the team: The Onboard Platforms team is an embedded software team responsible for the development and maintenance of the operating system, on-vehicle network, timesync, vehicle interface, and security for the L1/L2/L3 autonomous vehicle compute clusters. What you'll do: Deliver safe and efficient embedded software for state of the art sensing systems Produce high quality, maintainable code using C++ Design and optimize in vehicle networks to communicate with the sensors and provide the common timebase for the autonomy software Design, implement, and test full stack software running in resource constrained environments Work closely with a multidisciplinary team of hardware, software and system engineers to ensure the success of our product What you'll need to succeed: Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD) Strong experience developing embedded applications and systems using C++ Proficient in network communication concepts including protocols, physical layer requirements, bandwidth characteristics, and configuration Knowledge of TCP/IP, Ethernet, CAN, and experience working with Marvell/Broadcom (or similar automotive grade) Ethernet switches, including low level configuration, firmware interaction, and troubleshooting hardware software interface issues Strong software design, algorithm, problem solving, and analytical skills Experience with multi processor SoCs or similar embedded processors Experience with time synchronization, IEEE802.1AS, and Linux PTP is preferred Prefer candidates with experience developing software for highly complex, safety critical sensing systems with specific emphasis on network design for fault detection, and time synchronization for safety critical data paths Nice to have: Understanding of networking and time sensitive networking Experience with Yocto/OpenEmbedded, buildroot, or similar Linux packaging technologies Track record of technical leadership in automotive or related fields taking products to production What we offer you: Competitive compensation packages High quality individual and family medical, dental, and vision insurance Health savings account with available employer match Employer matched 401(k) retirement plan with immediate vesting Employer paid group term life insurance and the option to elect voluntary life insurance Paid parental leave Paid medical leave Unlimited vacation 15 paid holidays Daily lunches, snacks, and beverages available in all office locations Pre tax spending accounts for healthcare and dependent care expenses Monthly wellness stipend Adoption/Surrogacy support program Backup child and elder care programEmployee assistance program Discounted programs that include legal services, identity theft protection, pet insurance, and more Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives Learn more about Latitude's team, mission and career opportunities at lat.ai! The expected base salary range for this full time position in California is $179,200 - $268,800 USD. Actual starting pay will be based on job related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude's annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements. Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
Senior Embedded Software Engineer, Networking Pittsburgh, PA, Palo Alto, CA, Detroit, MI Latitude AI ( lat.ai ) develops automated driving technologies, including L3, for Ford vehicles at scale. We're driven by the opportunity to reimagine what it's like to drive and make travel safer, less stressful, and more enjoyable for everyone. When you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering - all dedicated to making a real, positive impact on the driving experience for millions of people. As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif. Meet the team: The Onboard Platforms team is an embedded software team responsible for the development and maintenance of the operating system, on-vehicle network, timesync, vehicle interface, and security for the L1/L2/L3 autonomous vehicle compute clusters. What you'll do: Deliver safe and efficient embedded software for state of the art sensing systems Produce high quality, maintainable code using C++ Design and optimize in vehicle networks to communicate with the sensors and provide the common timebase for the autonomy software Design, implement, and test full stack software running in resource constrained environments Work closely with a multidisciplinary team of hardware, software and system engineers to ensure the success of our product What you'll need to succeed: Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD) Strong experience developing embedded applications and systems using C++ Proficient in network communication concepts including protocols, physical layer requirements, bandwidth characteristics, and configuration Knowledge of TCP/IP, Ethernet, CAN, and experience working with Marvell/Broadcom (or similar automotive grade) Ethernet switches, including low level configuration, firmware interaction, and troubleshooting hardware software interface issues Strong software design, algorithm, problem solving, and analytical skills Experience with multi processor SoCs or similar embedded processors Experience with time synchronization, IEEE802.1AS, and Linux PTP is preferred Prefer candidates with experience developing software for highly complex, safety critical sensing systems with specific emphasis on network design for fault detection, and time synchronization for safety critical data paths Nice to have: Understanding of networking and time sensitive networking Experience with Yocto/OpenEmbedded, buildroot, or similar Linux packaging technologies Track record of technical leadership in automotive or related fields taking products to production What we offer you: Competitive compensation packages High quality individual and family medical, dental, and vision insurance Health savings account with available employer match Employer matched 401(k) retirement plan with immediate vesting Employer paid group term life insurance and the option to elect voluntary life insurance Paid parental leave Paid medical leave Unlimited vacation 15 paid holidays Daily lunches, snacks, and beverages available in all office locations Pre tax spending accounts for healthcare and dependent care expenses Monthly wellness stipend Adoption/Surrogacy support program Backup child and elder care programEmployee assistance program Discounted programs that include legal services, identity theft protection, pet insurance, and more Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives Learn more about Latitude's team, mission and career opportunities at lat.ai! The expected base salary range for this full time position in California is $179,200 - $268,800 USD. Actual starting pay will be based on job related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude's annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements. Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
04/02/2026
Full time
Senior Embedded Software Engineer, Networking Pittsburgh, PA, Palo Alto, CA, Detroit, MI Latitude AI ( lat.ai ) develops automated driving technologies, including L3, for Ford vehicles at scale. We're driven by the opportunity to reimagine what it's like to drive and make travel safer, less stressful, and more enjoyable for everyone. When you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering - all dedicated to making a real, positive impact on the driving experience for millions of people. As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif. Meet the team: The Onboard Platforms team is an embedded software team responsible for the development and maintenance of the operating system, on-vehicle network, timesync, vehicle interface, and security for the L1/L2/L3 autonomous vehicle compute clusters. What you'll do: Deliver safe and efficient embedded software for state of the art sensing systems Produce high quality, maintainable code using C++ Design and optimize in vehicle networks to communicate with the sensors and provide the common timebase for the autonomy software Design, implement, and test full stack software running in resource constrained environments Work closely with a multidisciplinary team of hardware, software and system engineers to ensure the success of our product What you'll need to succeed: Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD) Strong experience developing embedded applications and systems using C++ Proficient in network communication concepts including protocols, physical layer requirements, bandwidth characteristics, and configuration Knowledge of TCP/IP, Ethernet, CAN, and experience working with Marvell/Broadcom (or similar automotive grade) Ethernet switches, including low level configuration, firmware interaction, and troubleshooting hardware software interface issues Strong software design, algorithm, problem solving, and analytical skills Experience with multi processor SoCs or similar embedded processors Experience with time synchronization, IEEE802.1AS, and Linux PTP is preferred Prefer candidates with experience developing software for highly complex, safety critical sensing systems with specific emphasis on network design for fault detection, and time synchronization for safety critical data paths Nice to have: Understanding of networking and time sensitive networking Experience with Yocto/OpenEmbedded, buildroot, or similar Linux packaging technologies Track record of technical leadership in automotive or related fields taking products to production What we offer you: Competitive compensation packages High quality individual and family medical, dental, and vision insurance Health savings account with available employer match Employer matched 401(k) retirement plan with immediate vesting Employer paid group term life insurance and the option to elect voluntary life insurance Paid parental leave Paid medical leave Unlimited vacation 15 paid holidays Daily lunches, snacks, and beverages available in all office locations Pre tax spending accounts for healthcare and dependent care expenses Monthly wellness stipend Adoption/Surrogacy support program Backup child and elder care programEmployee assistance program Discounted programs that include legal services, identity theft protection, pet insurance, and more Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives Learn more about Latitude's team, mission and career opportunities at lat.ai! The expected base salary range for this full time position in California is $179,200 - $268,800 USD. Actual starting pay will be based on job related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude's annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements. Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week or any other frequency dictated by the business. Location: Mt. View, California - Mountain View Technical Center About the Team: Our AI Research team, reporting directly to the Chief AI Officer, is pioneering how cutting-edge machine learning can transform the way vehicles are designed, manufactured, and experienced. We are building the next generation of intelligent systems-integrating multimodal foundation models, generative AI, robotics and predictive maintenance into real-world automotive innovation at global scale. The Role: As an Early Career Machine Learning Engineer, you will contribute to the development of end-to-end AI/ML systems that solve high-stakes problems in robotics and manufacturing at scale. You will work closely with senior engineers and researchers to design, prototype, and deploy state-of-the-art AI models with direct application to vehicle design, manufacturing operations, robotics, and simulation of physical systems. You will have the opportunity to translate cutting-edge research into production systems, collaborate with a world-class team of scientists and engineers, and grow your expertise while contributing to GM's AI research agenda and engaging with the broader AI community. What You'll Do: Adapt machine learning architectures for complex industrial applications, including computer vision, robotic manipulation, predictive maintenance, and process optimization Build end-to-end deep learning pipelines that handle multi-modal sensor data (vision, force/torque, proprioception, environmental sensors) Contribute to the development of foundation models and transfer learning frameworks that generalize across diverse industrial scenarios and equipment types Contribute to the development of data collection and annotation strategies to build high quality datasets for training and validating models in industrial settings Work with partner teams to translate technical requirements into ML solutions and support integration efforts Own the deployment and monitoring of ML models in production environments Publish research findings in top-tier venues (for example, NeurIPS, ICML, CVPR) and contribute to GM's presence in the research community Minimum Qualifications: Currently has, or is in the process of obtaining a PhD in the field of Computer Science, Machine Learning, or a related field (STEM focused), or a Master's degree with significant ongoing AI/ ML contributions. PhD Degree must be completed prior to joining General Motors Able to work full time, 40 hours per week What will give you a Competitive Edge (Preferred Qualifications): In depth knowledge about modern deep learning architectures-Transformers, Diffusion Models, CNNs and model training techniques at scale Strong hands-on experience with at least one of the popular AI/ML frameworks (PyTorch, Tensorflow, Keras or JAX) Experience with anomaly detection and predictive maintenance applications through course work, research or projects Experience with reinforcement learning for robotic control or process optimization through course work, research or projects Experience training multimodal deep learning models Demonstrated research contributions in AI/ML technologies through publication of PhD research in top tier conferences or journals Ability to formulate research questions from ambiguous problems and apply rigorous experimental methodology including hypothesis formation, evaluation, and statistical analysis Demonstrated track record of publications in top AI/ML conferences or patents demonstrating novel contributions to the field Strong programming skills in Python and familiarity with one or more of systems languages (C++/Java) Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. The salary range for this role is $130,000 - $170 000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. What you'll get from us (Benefits): GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This job may be eligible for relocation benefits.
04/02/2026
Full time
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week or any other frequency dictated by the business. Location: Mt. View, California - Mountain View Technical Center About the Team: Our AI Research team, reporting directly to the Chief AI Officer, is pioneering how cutting-edge machine learning can transform the way vehicles are designed, manufactured, and experienced. We are building the next generation of intelligent systems-integrating multimodal foundation models, generative AI, robotics and predictive maintenance into real-world automotive innovation at global scale. The Role: As an Early Career Machine Learning Engineer, you will contribute to the development of end-to-end AI/ML systems that solve high-stakes problems in robotics and manufacturing at scale. You will work closely with senior engineers and researchers to design, prototype, and deploy state-of-the-art AI models with direct application to vehicle design, manufacturing operations, robotics, and simulation of physical systems. You will have the opportunity to translate cutting-edge research into production systems, collaborate with a world-class team of scientists and engineers, and grow your expertise while contributing to GM's AI research agenda and engaging with the broader AI community. What You'll Do: Adapt machine learning architectures for complex industrial applications, including computer vision, robotic manipulation, predictive maintenance, and process optimization Build end-to-end deep learning pipelines that handle multi-modal sensor data (vision, force/torque, proprioception, environmental sensors) Contribute to the development of foundation models and transfer learning frameworks that generalize across diverse industrial scenarios and equipment types Contribute to the development of data collection and annotation strategies to build high quality datasets for training and validating models in industrial settings Work with partner teams to translate technical requirements into ML solutions and support integration efforts Own the deployment and monitoring of ML models in production environments Publish research findings in top-tier venues (for example, NeurIPS, ICML, CVPR) and contribute to GM's presence in the research community Minimum Qualifications: Currently has, or is in the process of obtaining a PhD in the field of Computer Science, Machine Learning, or a related field (STEM focused), or a Master's degree with significant ongoing AI/ ML contributions. PhD Degree must be completed prior to joining General Motors Able to work full time, 40 hours per week What will give you a Competitive Edge (Preferred Qualifications): In depth knowledge about modern deep learning architectures-Transformers, Diffusion Models, CNNs and model training techniques at scale Strong hands-on experience with at least one of the popular AI/ML frameworks (PyTorch, Tensorflow, Keras or JAX) Experience with anomaly detection and predictive maintenance applications through course work, research or projects Experience with reinforcement learning for robotic control or process optimization through course work, research or projects Experience training multimodal deep learning models Demonstrated research contributions in AI/ML technologies through publication of PhD research in top tier conferences or journals Ability to formulate research questions from ambiguous problems and apply rigorous experimental methodology including hypothesis formation, evaluation, and statistical analysis Demonstrated track record of publications in top AI/ML conferences or patents demonstrating novel contributions to the field Strong programming skills in Python and familiarity with one or more of systems languages (C++/Java) Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. The salary range for this role is $130,000 - $170 000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. What you'll get from us (Benefits): GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This job may be eligible for relocation benefits.