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Software Engineering Manager, AR AI

AT Meta
Meta

Software Engineering Manager, AR AI

Menlo Park, CA

The Augmented Reality AI Org at Meta is seeking a strong technical leader to join our team and work on the next generation of AI Experiences on smart devices. As a technical leader in the team, you will play a critical role in building the core AI tech powering the experiences on Meta's Smart Glasses, AR Glasses and Quest devices. We have the opportunity to build the next computing platform powered by the latest and greatest AI technologies. This year we launched the Multimodal AI Assistant on Ray-Ban Meta Smart Glasses, and we are working on making it a truly human-like Assistant that can see what you see and hear what you hear, helping users get things done in the most ubiquitous way.

Software Engineering Manager, AR AI Responsibilities:

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  • Support and grow a team of AI and CV experts
  • Develop technical vision, long-term strategy and set direction for the team and the organization
  • Drive execution of developing models and systems that are crucial to the end user experience
  • Present the team's work and plans in cross-company executive forums
  • Communicate, collaborate, and build relationships with xfn partners and peer teams to facilitate large-scale projects
Minimum Qualifications:
  • Experience and track of record in landing large product impacts in a fast-paced environment, 5+ years of hands on experience in large language model, NLP, and/or multimodal modeling, and shipping large-scale AI solutions to end users
  • 3+ years of hands on supporting and leading teams of AI/ML engineers
  • Experience in developing large-scale AI services
  • Experience with cross functional collaboration with product and platform teams, as well as non-engineering functions
  • Demonstrated experience recruiting, building, structuring, leading technical organizations, including performance management
Preferred Qualifications:
  • Proven expertise in deep learning, artificial intelligence, and their practical applications in multimodal systems
  • Experience and knowledge of ML frameworks like PyTorch, TensorFlow, etc.
  • Experience and knowledge of multi-modal modeling, NLP and computer vision
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.

$177,000/year 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.

Client-provided location(s): Menlo Park, CA, USA
Job ID: a1KDp00000E164SMAR_1002
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Pension
    • Company Equity
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Founder led

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