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Menlo Park, California, United States · On-site
$184k–$257k/yr
Mid level$80B raised
We are seeking Research Engineers to serve as technical pillars within the team. In this role, you will move beyond algorithm implementation to architecting the systems that power always-on contextual AI. This position s…
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Menlo Park, California, United States · On-site
$152k–$218k/yr
Senior$80B raised
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London, England, United Kingdom · On-site
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San Francisco, California, United States · On-site
$250k–$312k/yr
Senior+$80B raised
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AI Research Scientist - Meta Superintelligence Lab (Technical Leadership)
Menlo Park, California, United States · On-site
$219k–$301k/yr
Senior$80B raised
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Creative X is a global, integrated creative agency that drives the creative vision for our brands and how they are perceived in the world. We develop the vision for next-generation creative advertising, consumer brand co…
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$184k–$257k/yr
Full-time
bachelor degree, postgraduate degree
Bonus, Equity, Health Insurance
Posted 10d ago
~40 hrs/week
Responsibilities
You will architect and implement contextual AI systems by translating cutting-edge research in Vision-Language Models and Reinforcement Learning into performant applications for edge devices. The role involves end-to-end ownership of feature development, cross-functional collaboration with hardware teams, and leading technical roadmaps.
Requirements
Candidates must have a bachelor's degree in a technical field and at least 3 years of professional experience in AI research or software development. Proficiency in C++, Python, and deep learning frameworks like PyTorch or TensorFlow is required, along with a history of deploying machine learning models.
Full job description
We are seeking Research Engineers to serve as technical pillars within the team. In this role, you will move beyond algorithm implementation to architecting the systems that power always-on contextual AI. This position sits at the intersection of Computer Vision, Embodied AI, and Multimodal LLMs. You will drive the engineering efforts to bring research breakthroughs from high-compute clusters to power-constrained, egocentric devices like smart glasses and robotic platforms.
Responsibilities
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
Minimum Qualifications
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+ 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
Preferred Qualifications
Advanced Degree: Ph.D. or M.S. in Computer Science, Software Engineering, or Robotics
Large-Scale Data: Experience architecting data pipelines for high-dimensionality, multi-modal datasets
Publication Record: Contributions to the research community through publications at top-tier venues (CVPR, ICCV, NeurIPS, ICRA, RSS) or significant patent filings
Domain Expertise: Specialized experience in one or more: Egocentric Perception, Vision-Language-Action (VLA) models, SLAM, or Sim-to-Real transfer
Communication: Ability to communicate complex technical trade-offs to both technical peers and non-technical stakeholders
$183,997/year to $257,000/year + bonus + equity + benefits
Related keywords
Research EngineerPerceptionMachine LearningComputer VisionEmbodied AIMultimodal LLMsVision-Language ModelsReinforcement LearningSmart GlassesRoboticsC++PythonPyTorchTensorFlowQuantizationDistillation
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Offices: 1 Hacker Way, Menlo Park, CA 94025, US · 661 University Ave, Toronto, ON M5G 1M1, CA · 300 W 6th St, Austin, TX 78701, US · 77 King St, Sydney, NSW 2000, AU · 1101 Dexter Ave N, Seattle, WA 98109, US
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 and intelligent experiences like virtual reality, wearables and AI 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
Offices: 1 Hacker Way, Menlo Park, CA 94025, US · 661 University Ave, Toronto, ON M5G 1M1, CA · 300 W 6th St, Austin, TX 78701, US · 77 King St, Sydney, NSW 2000, AU · 1101 Dexter Ave N, Seattle, WA 98109, US