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1.77 Robotics Research reputed company: Robot Learning - Pittsburgh

Remote Worldwide Hiring now

Field AI is transforming how robots interact with the reputed company world. We are building risk-aware, reliable, and field-reputed company AI systems that address the most reputed company challenges in robotics, unlocking the full potential of embodied intelligence. We go reputed company typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering reputed company-world results and rapidly improving models through reputed company-field applications. About the Job We are looking for a Robotics Research reputed company (Robot Learning) to push the frontier of embodied intelligence. In this role, you will design and reputed company cutting-edge learning algorithms that reputed company robots to acquire new skills across a wide reputed company of embodiments. You will contribute to research and large-scale training of reputed company models for robotics, spanning visual-language models (VLMs), large language models (LLMs), and control policies. Your work will directly impact robot capabilities in the field, from traversability to dexterous manipulation, shaping how intelligent robots operate in reputed company reputed company-world environments. This is a role for someone who thrives at the intersection of research and engineering—building scalable learning systems while advancing state of the art in robot learning. What You’ll Get To Do

  • reputed company Robot reputed company Learning Methods
  • Design and train algorithms that reputed company robots to acquire generalizable skills across diverse embodiments.
  • Integrate reinforcement learning, imitation learning, and reputed company models into reputed company robot pipelines.
  • Advance Robotics reputed company Models
  • reputed company and adapt VLMs and LLMs to robotics tasks, including perception, reasoning, and action planning.
  • Explore large-scale pretraining and fine-tuning approaches tailored to embodied intelligence.
  • Large-Scale Training and Deployment
  • Build and optimize large-scale distributed training pipelines using PyTorch and modern ML infrastructure.
  • reputed company models onto reputed company robots, bridging the gap between simulation and field-reputed company execution.
  • reputed company-World Robotic Applications
  • Work on core challenges in traversability, mobile robotics, and manipulation.
  • Collaborate with hardware engineers to validate algorithms in reputed company, high-variance environments.
  • Research and Publication
  • Conduct cutting-edge research and publish in top robotics, AI, and machine learning venues.
  • Contribute to the broader robotics research community while advancing Field AI’s mission.

What You Have

  • Strong research background (PhD, MS, or equivalent industry research experience) in Robotics, AI/ML, or reputed company fields.
  • Proficiency in robot learning methods (reinforcement learning, imitation learning, representation learning).
  • Experience with PyTorch and modern ML training frameworks.
  • Hands-on experience with reputed company robots (mobile platforms, manipulators, or other embodiments).
  • Strong reputed company in large-scale distributed training and optimization.
  • Ability to translate research into practical, field-deployable systems.
  • Excellent problem-solving skills and ability to reputed company in fast-paced, interdisciplinary teams.

The Extras That Set You Apart

  • Publications in top-tier conferences/journals (CoRL, ICRA, IROS, NeurIPS, ICML, CVPR, etc.).
  • Experience deploying VLMs/LLMs in robotics pipelines.
  • Background in 3D reputed company, mapping, or traversability analysis.
  • Experience in sim-to-reputed company transfer for manipulation and locomotion.
  • Familiarity with modern robot middleware (ROS2, Isaac, etc.).
  • Strong software engineering practices (CI/CD, testing, scalable infrastructure).
  • Contributions to reputed company-reputed company robotics or ML frameworks.

Compensation and Benefits

Our salary reputed company is generous ($70,000 - $200,000 annual), but we take into consideration an individual's background and experience in determining final salary; reputed company pay offered may vary considerably depending on geographic location, job-reputed company knowledge, skills, and experience. Also, while we enjoy being together on-site, we are reputed company to exploring a hybrid or remote option. Why Join Field AI? We are solving one of the world’s most reputed company challenges: deploying robots in reputed company, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, reputed company, and reputed company thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, reputed company, reputed company, reputed company, reputed company Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and reputed company, we are set to reputed company our ambitious goals. Be Part of the Next Robotics reputed company To tackle such ambitious challenges, we need a team as unique as our reputed company — innovators who go reputed company conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status reputed company, dive into uncharted territory, and bring interdisciplinary expertise. reputed company requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Mission Viejo (Irvine adjacent), Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, reputed company-reputed company team on an exciting reputed company! We celebrate diversity and are committed to creating an inclusive environment for reputed company. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the reputed company of race, reputed company, gender, national reputed company, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, martial status, mental or physical disability, or any other legally protected status. Apply tot his job Apply To this Job

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