About this role
- Algorithm & System Implementation: Translate cutting-edge research in Vision-Language Models (VLMs), Reinforcement Learning, and Multimodal LLMs into performant, real-world applications on smart glasses and robotic platforms
- End-to-End Ownership: Own the full lifecycle of feature development, from initial prototyping and data collection to deployment and system integration
- Experimental Rigor: Design and lead large-scale ablation studies
- develop robust benchmarking suites to evaluate and iterate on next-gen contextual AI
- Cross-Functional Influence: Partner with Hardware Engineers to influence sensor/silicon design and collaborate with Researchers and Product Managers to define the future of human-AI interaction
- Architecture & Roadmap: When hired at a staff level, lead the design and execution of engineering roadmaps, making critical architectural decisions to ensure low-latency, high-accuracy inference on power-constrained "always-on" edge devices
- Technical Leadership & Mentorship: When hired at a staff level, provide technical guidance and mentorship to peers and engineers, setting the bar for engineering and software maintainability
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Bachelor’s degree in Computer Science, Robotics, or a related technical field (or equivalent practical experience)
- Experience: 3-8+ years of professional experience in AI research engineering, software development, or a related field. (Candidate leveling will be determined based on technical depth, scope of previous impact, and leadership experience)
- Core Technical Skills: In-depth experience programming in C++ and Python, with a focus on developing high-performance, maintainable codebases
- Framework Mastery: Extensive experience with PyTorch or TensorFlow, including model optimization (e.g., quantization, distillation, or custom kernel development)
- Deployment Experience: Proven history of deploying machine learning models into production environments or integrated hardware-software systems
- Advanced Degree: Ph.D. or M.S. in Computer Science, Software Engineering, or Robotics
- Domain Expertise: Specialized experience in one or more: Egocentric Perception, Vision-Language-Action (VLA) models, SLAM, or Sim-to-Real transfer
- Large-Scale Data: Experience architecting data pipelines for high-dimensionality, multi-modal datasets
- Publication Record: Contributions to the research community through publications at market leading venues (CVPR, ICCV, NeurIPS, ICRA, RSS) or significant patent filings
- Communication: Ability to communicate complex technical trade-offs to both technical peers and non-technical stakeholders
$88.46/hour to $257,000/year + bonus + equity + benefits
Other facts
About Meta
Meta's mission is to build the future of human connection and the technology that makes it possible.
Our technologies 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.
To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
• Start with an open mind. Whether you agree or disagree, engage with empathy.
• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
For a full listing of our jobs, visit https://www.metacareers.com
Meta's mission is to build the future of human connection and the technology that makes it possible.
Our technologies 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.
To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
• Start with an open mind. Whether you agree or disagree, engage with empathy.
• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
For a full listing of our jobs, visit https://www.metacareers.com
What you'll do
- The Research Engineer will implement algorithms and systems for contextual AI applications on smart glasses and robotic platforms. They will also lead feature development from prototyping to deployment and collaborate with cross-functional teams.
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