Research Engineer, Computer Vision - Embodied AI

Research Engineer, Computer Vision - Embodied AI
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Menlo Park, CA
Meta is seeking a Research Engineer to join the Fundamental AI Research organization (FAIR), a research organization focused on making significant progress in AI. As a Research Engineer on the Embodied AI team at FAIR, you will be part of an innovative group of research scientists and engineers working on cutting-edge AI technologies for robotics, AR, and VR, and sharing this research with the world. You will play a crucial role in deploying the latest AI advances onto a variety of robot platforms, and have the opportunity to drive the research in directions which improve robot performance. This role offers an exciting opportunity to work at the forefront of AI and robotics, while honing your skills in a supportive and collaborative environment.
Research Engineer, Computer Vision - Embodied AI Responsibilities
  • Collaborate with research scientists and engineers to implement state-of-the-art AI algorithms and models onto real robot hardware and simulation environments.
  • Design and conduct thorough evaluations of AI models on real-world robotic systems, identifying limitations, and proposing improvements to enhance their performance and robustness.
  • Write high quality, readable, reusable code for interfacing between AI models and robot hardware.
Minimum Qualifications
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
  • Proficiency in programming languages such as Python, C++, or similar.
  • Proven knowledge of robotics fundamentals (perception, planning, control)
  • Familiarity with robotics frameworks such as ROS
  • Experience with machine learning models, and frameworks such as PyTorch, TensorFlow, etc.
  • Effective analytical and problem-solving skills
  • Proven communication and collaboration skills
Preferred Qualifications
  • PhD in computer science, robotics, AI, or related fields
  • Strong track record of publications in the fields of robotics, AI
  • Experience with simulation environments such as Habitat, Bullet, Gazebo, etc.
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to
$116,002/year to $168,000/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta's Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. You may view Meta's Notice Regarding Automated Employment Decision Tools here.

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