Research Engineer - On-Device Contextual AI

Summary:In this role, youwill adapt and deploy advanced real-time smart glasses algorithms on custom embedded computer vision/machine learning processors. Youwill then make them available to an extensive internal and external user community.Required Skills:Research Engineer - On-Device Contextual AI Responsibilities:Plan and execute engineering development to advance the state-of-the-art in machine perception research for Contextual Al, both on-device and on back-endCollaborate closely with researchers, engineers, and product managers across multiple teams at Meta to design, architect and implement prototypesDebug complex, system-level, multi-component issues that typically span across multiple layers from sensor to applicationLead major initiatives, projects, rollouts and phased releasesMinimum Qualifications:Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experienceMaster's degree in Computer Engineering, Computer Science, or Electrical Engineering and Computer Sciences or equivalent practical experience5+ years of experience working in large scale C++ and Python code base4+ years of experience in developing and prototyping machine perceptionExperience in implementing computer vision algorithms for efficient execution on embedded systemsDemonstrated examples of delivering an end-to-end system rather than a single componentPreferred Qualifications:Preferred Qualifications:Experience developing, debugging, and shipping software products on large code bases that span platforms and toolsExperience with low-level programming (DSPs, MCUs, etc) and mobile acceleratorsExperience with device to cloud low latency applicationsExperience with cloud edge computingExperience in zero-to-one blank slate projectsDoctor of Philosophy (Ph.D.) in Computer Engineering, Computer Science, or Electrical Engineering and Computer Sciences or equivalent practical experiencePublic Compensation:$70.67/hour to $208,000/year + bonus + equity + benefitsIndustry: InternetEqual Opportunity: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 . #J-18808-Ljbffr

Created: 2025-09-23