Research Engineer, Robotics (PhD)

Meta; Menlo Park (CA); On-site; USD 112,000 - 173,000; Full time

Job summary

Join a pioneering organization dedicated to advancing AI and robotics. As a Research Engineer, you will collaborate with a talented team to design cutting-edge AI algorithms for real robotic systems. This role offers the chance to influence the future of robotics through innovative research and development. You will engage in hands-on work with state-of-the-art technology, pushing the boundaries of what robots can achieve. If you're passionate about AI and want to make a significant impact in the field, this is the perfect opportunity to grow your career in a dynamic and supportive environment.

Benefits

Bonus

Equity

Comprehensive benefits

Qualifications

• PhD in AI, Robotics, or related field required.
• Experience in robotics and machine learning essential.

Responsibilities

• Develop and implement AI algorithms for robotics.
• Evaluate AI models on robotic systems and propose improvements.

Skills

Robotics research

Reinforcement learning

Machine learning frameworks

Programming (Python, C++)

Task and motion planning

Sim-to-real transfer

Education

Bachelor's degree in Computer Science or related field

PhD in Artificial Intelligence or related field

Tools

PyTorch

TensorFlow

ROS

Job description

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 Robotics team at FAIR, you will be part of an innovative group of research scientists and engineers working on cutting-edge AI technologies for robotics, and sharing this research with the world. You will play a crucial role in developing novel AI advances and deploying them onto 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.

Research Engineer, Robotics (PhD) Responsibilities

1. 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.
2. Design and conduct thorough evaluations of AI models on real-world robotic systems, identifying limitations, and proposing improvements to enhance their performance and robustness.
3. Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
4. Publish research results and contribute to research that impacts Meta product development.

Minimum Qualifications

1. 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.
2. Currently has or is in the process of obtaining a PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience.
3. Experience in robotics related research areas, such as: 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.
4. Experience with machine learning models, and frameworks such as PyTorch, TensorFlow, etc.
5. Proficiency in programming languages such as Python, C++, or similar.
6. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications

1. 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).
2. Proven knowledge of robotics fundamentals (perception, planning, control).
3. Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.
4. Experience building systems based on machine learning and/or deep learning methods.
5. Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
6. Experience working and communicating cross functionally in a team environment.
7. Experience with robotics frameworks like ROS, along with experience working with robot simulations and real-world hardware.
8. Experience designing and developing new robotic systems, platforms or infrastructure.
9. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).

For those who live in or expect to work from California if hired for this position, please click here for additional information.

Compensation

US$56.25/hour to US$173,000/year + bonus + equity + benefits. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Meta is proud to be an Equal Employment Opportunity 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.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Apply for this job and take the first step toward a rewarding career at Meta.