Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.
As an Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come. We're the people helping to define the metaverse. We may not have all the answers. But together, we're getting closer.
The Health Technologies team mission is to discover, develop, and deliver clinically validated health and wellness tools that have the opportunity to improve public health outcomes, at Meta scale. We are seeking a lead engineer with a background in health sensing algorithms and deployment in low powered devices. You will build 0 to 1 products in the health sensing space working with a team of ML, Signal Processing, Clinical Research and Systems Engineers. The ideal candidate has strong communication skills, and demonstrated experience in designing and shipping 0 to 1 health algorithms.
- Drive the organization goal towards innovating and building a range of health-related systems
- Effectively communicate to leadership teams and the industry partners complex features & systems
- Understand industry and Facebook wide technology trends in computing technology to help assess & develop new technologies for health technologies
- Suggest, collect and synthesize requirements and create an effective feature roadmap
- Adapt standard machine learning and computer vision pipelines to best exploit mobile computing units (e.g. GPU, DSP)
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Masters in computer science, computer engineering, or relevant technical field
- 3+ years of experience with computer vision, machine learning, neural networks and signal processing
- Highly experienced leading consumer low powered based projects with industry-wide impact
- Experience building relationships and collaborating with cross-functional teams to drive solutions
- Experience in mentoring/influencing senior engineers across organizations
Preferred Qualifications
- 4+ years of experience with computer vision, machine learning, neural networks and signal processing
- Experience with algorithm design and deployment for health sensing features on low powered devices and knowledge of human physiology
- Experience building 0 to 1 products supporting teams from conception through delivery of health sensing features at scale
For those who live in or expect to work from California if hired for this position, please click here for additional information.
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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.
$70.67/hour to $208,000/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.
Equal Employment Opportunity and Affirmative Action
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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.