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Engineering Manager, Wearables Language AI

AT Meta
Meta

Engineering Manager, Wearables Language AI

Menlo Park, CA

The Wearables Language AI organization is seeking an engineering manager to support the Wearables Voice AI team. This team shipped the AI Assistant on Ray-Ban Meta smart glasses last year, and is working on building core technologies that will make the interactions with the Assistant much more smooth and ubiquitous, available in more languages, and ship it on all upcoming Wearable Meta devices, including on-device deployment.

Engineering Manager, Wearables Language AI Responsibilities:

  • Grow a team of speech domain experts within the Wearables Voice AI team
  • 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
  • Communicate, collaborate and build relationships with product and peer teams to facilitate cross-functional projects
  • Remain up-to-date on ongoing software development activities in the team, help work through technical challenges and be involved in design decisions
Minimum Qualifications:

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  • Experience and track record of landing large product impact in fast-paced environment
  • 5+ years of hands-on experience in large language model, NLP, and or speech processing areas, in both research and engineering settings
  • 5+ years of experience recruiting, building, structuring, and leading technical organizations, including performance management
  • 2+ years of experience in building decent sized organization and supporting managers
  • Demonstrable technical vision in SOTA speech and/ or dialog processing
  • Experience in developing large-scale AI systems
  • Experience with cross-functional collaboration with product and platform teams, as well as non-engineering functions
Preferred Qualifications:
  • PhD in deep learning, artificial intelligence, speech processing and/ or a related technical field
  • Experience and knowledge of ML frameworks like PyTorch, TensorFlow, etc
  • Experience and knowledge of working with LLM frameworks, especially LLaMa and LLaVA
  • Experience and knowledge of working with speech dialog/ conversational AI systems, sentiment analysis, multi-lingual or contextualized speech processing, user evaluation
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.

$213,000/year to $293,000/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: a1KDp00000E24cQMAR_1001
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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