FieldAI

Company Name: FieldAI
Job Title: 1.77 Robotics Research AI Engineer: Robot Learning
Job Description: Job Title: Robotics Research AI Engineer – Robot Learning Role Summary: Lead the design, training, and deployment of advanced learning algorithms for robotics, integrating reinforcement learning, imitation learning, and foundation models (VLMs/LLMs) to enable robots to acquire generalizable skills across diverse embodiments. Drive research and large‑scale training of foundation models, optimize distributed training pipelines, and translate findings into field‑ready systems for tasks such as traversability, mobile robotics, and manipulation. Expectations: - Build scalable learning systems that push the frontier of embodied intelligence. - Deliver research papers in top robotics and AI venues. - Collaborate with hardware teams to validate algorithms in unstructured environments. Key Responsibilities: - Design & train algorithms for generalizable robot skill acquisition. - Integrate RL, imitation learning, and foundation models into real‑robot pipelines. - Develop large‑scale distributed training pipelines using PyTorch and modern ML infrastructure. - Deploy trained models onto mobile platforms and manipulators, bridging simulation‑to‑real gaps. - Address core challenges in traversability, mobile robotics, and manipulation. - Publish results in conferences such as CoRL, ICRA, IROS, NeurIPS, ICML, CVPR. - Advise on and contribute to open‑source robotics/ML frameworks. Required Skills: - PhD or MS (or equivalent industry research) in Robotics, AI/ML, or related field. - Expertise in robot learning: reinforcement learning, imitation learning, representation learning. - Proficiency with PyTorch and modern ML training frameworks. - Hands‑on experience with real robots (mobile platforms, manipulators). - Strong foundation in large‑scale distributed training & optimization. - Ability to translate research into field‑deployable systems. - Excellent problem‑solving, interdisciplinary collaboration, and fast‑paced execution. Required Education & Certifications: - PhD or MS in Robotics, Artificial Intelligence, Machine Learning, Computer Vision, or a closely related discipline. - Proven research track record (publications in top-tier conferences/journals).

Pittsburgh, United states

On site

28-11-2025

Company Name: FieldAI
Job Title: 1.78 Robotics Graduate Research Internship – Robot Learning
Job Description: Job Title: Robotics Graduate Research Internship – Robot Learning Role Summary: Graduate research internship for MS/PhD students focused on advancing embodied intelligence through robot skill learning, foundation model adaptation, and large‑scale training pipelines. Interns conduct experiments, deploy work on physical robots, and contribute to publications and open‑source projects. Expectations: - Develop innovative research ideas in robot learning and foundation models. - Design, implement, and evaluate experiments in simulation and on real platforms. - Build scalable training pipelines using PyTorch and distributed systems. - Translate research insights into deployable solutions and publish findings in top venues. Key Responsibilities: 1. Conduct research on transferable skill learning across diverse robot embodiments, including RL, imitation learning, and multimodal foundation models. 2. Adapt vision and language models (VLMs, LLMs) for robotics perception, reasoning, and control; ground language and vision in real‑world tasks. 3. Design and run large‑scale training pipelines, experimenting with sim‑to‑real transfer, domain adaptation, and scaling laws. 4. Deploy and validate research on real robots (manipulators, mobile platforms) tackling traversability, locomotion, and dexterous manipulation. 5. Collaborate with the research team to write papers for venues such as CoRL, ICRA, NeurIPS, ICML, CVPR. 6. Contribute code to open‑source robotics and AI projects. Required Skills: - Current MS or PhD student in Robotics, Computer Science, AI/ML, or related field. - Proven research experience in robot learning, reinforcement learning, imitation learning, or foundation models. - Proficiency in Python and PyTorch; experience with distributed training and high‑performance computing preferred. - Strong machine learning fundamentals, experimental design, and rigorous result analysis. - Ability to rapidly iterate experimental ideas and communicate findings. - Passion for robotics and embodied intelligence. - Extras: published works in top robotics/AI venues; experience with ROS/ROS2; hands‑on real robot and sim‑to‑real work; contributions to open‑source projects; background in perception or manipulation. Required Education & Certifications: - Current Master’s or Ph.D. program in Robotics, Computer Science, Artificial Intelligence, Machine Learning, or a closely related discipline. - No specific certifications required.

Pittsburgh, United states

On site

Junior

28-11-2025

Company Name: FieldAI
Job Title: 2.95 Software Engineering Intern: Quality Assurance
Job Description: Job Title: Software Engineering Intern – Quality Assurance Role Summary: Assist in validating the software that drives robotic systems, performing manual and automated testing across simulation environments, embedded firmware, and physical robotics platforms. Expectations: - Design, execute, and maintain test plans for robotics and data systems. - Collaborate with integration and testing teams to identify and resolve defects. - Contribute to continuous integration and hardware‑in‑the‑loop testing pipelines. Key Responsibilities: - Develop manual and automated test procedures for motion planning, perception, and control behaviors. - Run tests in ROS‑based simulations and on physical testbeds; monitor results in real‑time. - Log, document, and track bugs and anomalies using defect tracking tools. - Analyze robot telemetry, logs, and performance metrics to identify systemic issues. - Ensure software updates do not regress critical functionalities across autonomous routines. Required Skills: - Solid understanding of software testing fundamentals, especially for hardware‑software integration. - Basic scripting/programming proficiency in Python, C++, or Bash. - Comfortable working in Linux environments. - Familiarity with ROS or other robotics middleware; experience with rostest or rosbag analysis a plus. - Knowledge of test automation frameworks such as gtest or pytest. - Experience with version control (Git) and CI/CD systems (Jenkins, GitHub Actions). Required Education & Certifications: - Current student or recent graduate in Computer Science, Robotics, Electrical Engineering, Mechatronics, or a related field. - No specific certifications required.

Irvine, United states

On site

Fresher

19-01-2026

Company Name: FieldAI
Job Title: Research Scientist Intern, Embodied AI
Job Description: Job Title: Research Scientist Intern, Embodied AI Role Summary: Assist in developing and validating context‑aware reasoning, planning, and perception algorithms for autonomous robots operating in unstructured environments. Contribute to research, publications, and real‑world deployment of embodied AI systems. Expectations: Drive end‑to‑end research cycles, from algorithm design through field testing, and communicate results to both research and engineering teams. Key Responsibilities: - Design and implement context‑aware reasoning and planning algorithms using foundation models (VLMs, VLAs, world models). - Integrate algorithms into ROS 2‑based robotic platforms; conduct thorough testing on real robots under field conditions. - Analyze performance metrics, troubleshoot issues, and refine models based on empirical data. - Author research papers and prepare conference submissions (ICRA, IROS, CoRL, NeurIPS, CVPR, etc.). - Collaborate cross‑functionally with software engineers, robot technicians, and field deployment specialists. Required Skills: - Strong background in robotics autonomy and machine learning. - Proficiency in Python and/or C++; experience with PyTorch/TensorFlow or equivalent ML frameworks. - Hands‑on ROS 2 development and deployment on physical robots. - Analytical thinking, problem‑solving aptitude, and clear communication skills. Required Education & Certifications: - Current PhD candidate or recent graduate in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a closely related field. - No specific certifications required.

Irvine, United states

Hybrid

Fresher

27-01-2026

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