Research Scientist (Robotics)

The Rundown AI, Inc.; New York (NY); On-site; USD 8,000 - 251,000; Full time

Job summary

A leading company in AI and robotics is seeking a Research Scientist to advance AGI initiatives. The role involves collaborating on cutting-edge AI algorithms, conducting evaluations on robotic systems, and publishing impactful research. Ideal candidates will have a strong background in robotics and machine learning, with a focus on practical applications in real-world environments.

Benefits

Bonus

Equity

Benefits

Qualifications

• 5+ years of experience in robotics or related field.
• Experience with machine learning models and frameworks.

Responsibilities

• Work closely with researchers to define technical goals.
• Design and implement AI algorithms on robotic hardware.

Skills

Robotics

Machine Learning

Python

C++

Education

Bachelor's degree in Computer Science

PhD in computer science

Tools

PyTorch

TensorFlow

Job description

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.

Research Scientist (Robotics) Responsibilities:

• Work closely with researchers and 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 XFN 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:

• PhD in computer science, robotics, AI, or related fields.
• 7+ years of industry experience, or advanced degree with equivalent experience.
• 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).
• Proven knowledge of robotics fundamentals (perception, planning, control)
• Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.
• Experience with generative AI, especially VLM.
• Experience building systems based on machine learning and/or deep learning methods.
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and various perspectives to determine a path forward.
• Experience working and communicating cross functionally in a team environment.
• Experience with robot simulations and real-world hardware.
• Experience designing and developing new robotic systems, platforms or infrastructure.
  
  

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.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

$85.10/hour to $251,000/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.