Job Specifications
At Meta, we’re building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences.To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world.We’re seeking Research Engineers ready to apply their knowledge and skills to a wide variety of technologies. These role will require novel engineering, research and problem-solving working in a focused incubation team while collaborating with a large and wide-ranging set of scientists and engineers in the greater organization.
Software Engineer (Robotics) Responsibilities:
Work closely with researchers cross-functional partners spanning multiple teams and disciplines to define technical goals and lead implementation
Collaborate with research scientists and engineers to design and implement state-of-the-art AI algorithms and models on 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
Effectively communicate complex features and systems in detail to wide-ranging stakeholders
Publish research results and contribute to research that impacts Meta product development
Minimum Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
5+ years of experience in robotics or related field, or advanced degree with equivalent experience
Experience in robotics related research areas, such as: generative AI, robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
Experience with machine learning models, and frameworks such as PyTorch, TensorFlow, etc
Proficiency in programming languages such as Python, C++, or similar
Preferred Qualifications:
Experience with generative AI experience, especially VLM
PhD in computer science, robotics, AI, or related fields
Experience solving complex problems and comparing alternative solutions, tradeoffs, and varied perspectives to determine a path forward
Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
Experience building systems based on machine learning and/or deep learning methods
Experience working and communicating cross functionally in a team environment
Experience with robot simulations and real-world hardware
Proven knowledge of robotics fundamentals (perception, planning, control)
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV)
Experience designing and developing new robotic systems, platforms or infrastructure
7+ years of industry experience, or advanced degree with equivalent experience
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 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, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. 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.
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