Research Engineer, On-Device Contextual AI

Lensa; Burlingame (CA); On-site; USD 56,000 - 251,000; Full time

Job summary

A leading company is seeking a Research Engineer in Burlingame, CA, specializing in On-Device Contextual AI. In this role, you will work on designing and implementing advanced algorithms for smart glasses, making significant contributions to AI solutions and collaborating closely with experts at Meta.

Qualifications

• 5+ years of experience in machine perception algorithms.
• Worked within large scale code bases involving C++ and Python.
• Delivering complete systems rather than components.

Responsibilities

• Design and implement advanced real-time algorithms.
• Collaborate with cross-functional teams to develop prototypes.
• Lead initiatives in machine perception research.

Skills

Machine perception

Cross-functional collaboration

Debugging

Education

Ph.D. in Computer Engineering, Computer Science, or Electrical Engineering

Bachelor's degree in relevant technical field

Tools

C++

Python

Embedded systems

Job description

Research Engineer, On-Device Contextual AI

Research Engineer, On-Device Contextual AI

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Lensa is the leading career site for job seekers at every stage of their career. Our client, META, is seeking professionals in Burlingame, CA. Apply via Lensa today!

Summary

In this role, you will design and implement advanced real-time smart glasses algorithms on custom embedded computer vision/machine learning processors. You will 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 Contextualized AI
• Collaborate closely with researchers, engineers, and product managers across multiple teams at Meta to design, architect and implement prototypes
• Debug complex, system-level, multi-component issues that typically span across multiple layers from sensor to application
• Lead major initiatives, projects, rollouts and phased releases
  
  

Minimum Qualifications

Minimum Qualifications:

• Doctor of Philosophy (Ph.D.) in Computer Engineering, Computer Science, or Electrical Engineering and Computer Sciences or equivalent practical experience
• 5+ years experience working in large scale C++ and Python code base
• 5+ years of experience developing and prototyping machine perception algorithms
• Experience in implementing computer vision algorithms for efficient execution on embedded systems
• Experience developing, debugging, and shipping software products on large code bases that span platforms and tools
• Demonstrated experience working collaboratively in cross-functional teams
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Demonstrated examples of delivering an end-to-end system rather than a single component
  
  

Preferred Qualifications

Preferred Qualifications:

• Experience with low-level programming (DSPs, MCUs, etc) and mobile accelerators
• Experience with device to cloud low latency applications
• Experience with mobile (Android or iOS)
• Experience in zero-to-one blank slate projects
• Experience with cloud edge computing
  
  

Public Compensation

$85.10/hour to $251,000/year + bonus + equity + benefits

Industry: Internet

Equal 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 [e-mail].

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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