Research Scientist, Machine Learning for Sensing Signal Modeling (PhD)

We are seeking a highly motivated and experienced Machine Learning Research Scientist with a background in Computer Vision to join our team. The successful candidate will work on developing state-of-the-art multimodal sensory dexterity manipulation foundation models for robotics control policy learning. Research Scientist, Machine Learning for Sensing Signal Modeling (PhD) Responsibilities

• Develop and implement novel computer vision and machine learning algorithms for multi-modal dexterity manipulation foundational models
• Work with researchers, designers, engineers, and other roles, to explore and enable high-value applications in AR/VR, robotics and test critical hypotheses
• Collaborate with a team of researchers and engineers to develop and deploy new models, techniques, demos
• Contribute to the development of research papers and presentations
• Stay up-to-date with the latest advancements in machine learning, computer vision, signal processing and deep learning
• Produce high-quality, well-documented code to implement and evaluate new algorithms

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
• Currently has, or is in the process of obtaining, PhD degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
• 4+ years of experience in machine learning, computer vision projects
• Hands-on experience with PyTorch frameworks, and applied knowledge to design, develop, and implement artificial intelligence and machine learning solutions
• Proficient in one or more programming languages, such as Python or C++
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

• Background in multi-modal learning
• Experience with robotics control policy learning
• Experience with reinforcement learning
• Experience with human pose or hand pose tracking
• Experience with large-scale dataset preparation and management
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences in computer vision, machine learning, or human-computer interaction
• Experience in wearable sensors / systems and non-CV signals processing e.g. EMG, IMU, EIT
• Experience working and communicating cross-functionally in a team environment

For those who live in or expect to work from California if hired for this position, please click here for additional information. 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.
$117,000/year to $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.

Equal Employment Opportunity 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. You may view our Equal Employment Opportunity notice here. 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.