Research Engineer - Perception and Machine Learning

Onsite$183,997 - $257,000/yrPosted today

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Job details

Location: Bellevue or Menlo Park
Work type: Onsite
Compensation: $183,997 - $257,000/yr
Posted: today
Apply on: metacareers.com

About this role

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

Compensation

$183,997/year - $257,000/year; Country: US; Bonus eligible; Equity eligible

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.

California Notice

For those who live in or expect to work from California if hired for this position, please click here for additional information.

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity 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.

Accommodations

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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