Whatsapp
Posted : Wednesday, February 21, 2024 05:36 AM
The Sensors and Systems Research (SSR) group at Meta Reality Labs Research (formerly Facebook Reality Labs Research) is currently searching for a full-time AI Research Scientist to pioneer, develop, and prototype innovative algorithms for intelligent sensing systems.
We encourage candidates with a proven track record in advancing state-of-the-art efficient computer vision (CV) and machine learning (ML) algorithms, as well as those skilled in software/hardware co-design for distributed ML, multi-modal learning, self-supervised learning, and privacy-preserving ML applications to apply.
This role presents a unique opportunity to drive innovation at the forefront of the AR/VR technology revolution while collaborating with a diverse group of cross-disciplinary experts to create next-generation, human-oriented sensing and computing solutions.
Research Scientist, Sensors and Systems Research (PhD) Responsibilities: Responsibilities of Research Scientist, Sensors and Systems Research.
Develop computer vision and machine learning solutions for intelligent sensing applications.
Develop novel ML/CV solutions for distributed ML, efficient inference and learning, multi-modal learning, self-supervised learning and/or privacy perseverance.
Plan, execute cutting-edge research and prototype with AR / VR systems.
Foster collaboration with a diverse team including optical, silicon technology, sensor, system architecture, security, and ML domain experts.
Actively engage, collaborate, and influence other research pillars and application teams at Reality Labs.
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 a PhD in the field of Computer Science, Electrical Engineering, Mathematics, Physics, a related field, or equivalent practical experience.
Degree must be completed prior to joining Meta.
Proficiency in Python programming and hands-on experience with frameworks such as PyTorch.
Exposure to deploying algorithms into energy-efficient sensing and computing systems.
Demonstrated experience in developing machine learning models at scale, from inception to generating business impact.
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications: Experience in transitioning machine learning-based applications from research to production, particularly in the realm of on-device machine learning.
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as NeurIPS, CVPR, ICML, ICCV, ACL, ISCA, ISSCC, or similar.
Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
Experience working and communicating cross functionally in a team environment.
Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.
g.
GitHub).
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 accommodations-ext@fb.
com.
We encourage candidates with a proven track record in advancing state-of-the-art efficient computer vision (CV) and machine learning (ML) algorithms, as well as those skilled in software/hardware co-design for distributed ML, multi-modal learning, self-supervised learning, and privacy-preserving ML applications to apply.
This role presents a unique opportunity to drive innovation at the forefront of the AR/VR technology revolution while collaborating with a diverse group of cross-disciplinary experts to create next-generation, human-oriented sensing and computing solutions.
Research Scientist, Sensors and Systems Research (PhD) Responsibilities: Responsibilities of Research Scientist, Sensors and Systems Research.
Develop computer vision and machine learning solutions for intelligent sensing applications.
Develop novel ML/CV solutions for distributed ML, efficient inference and learning, multi-modal learning, self-supervised learning and/or privacy perseverance.
Plan, execute cutting-edge research and prototype with AR / VR systems.
Foster collaboration with a diverse team including optical, silicon technology, sensor, system architecture, security, and ML domain experts.
Actively engage, collaborate, and influence other research pillars and application teams at Reality Labs.
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 a PhD in the field of Computer Science, Electrical Engineering, Mathematics, Physics, a related field, or equivalent practical experience.
Degree must be completed prior to joining Meta.
Proficiency in Python programming and hands-on experience with frameworks such as PyTorch.
Exposure to deploying algorithms into energy-efficient sensing and computing systems.
Demonstrated experience in developing machine learning models at scale, from inception to generating business impact.
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications: Experience in transitioning machine learning-based applications from research to production, particularly in the realm of on-device machine learning.
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as NeurIPS, CVPR, ICML, ICCV, ACL, ISCA, ISSCC, or similar.
Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
Experience working and communicating cross functionally in a team environment.
Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.
g.
GitHub).
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 accommodations-ext@fb.
com.
• Phone : NA
• Location : 300 Airport Boulevard, Burlingame, CA
• Post ID: 9103028565
