Research Engineer, Synthetic Data Generation

Meta; Burlingame (CA); On-site; USD 184,000 - 257,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta Reality Labs is seeking a lead computer vision engineer to drive synthetic data generation and simulation for AR/VR products, including the Quest line. You will work with a cross-functional team spanning software, infra, CV, ML, simulation, and AI image generation to advance next-generation interaction technologies.

The role involves hands-on development of CV/ML solutions for image synthesis used in training AR/VR models, collaborating with Reality Labs Research, simulation, data systems,

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related field; PhD in related field preferred.

Responsibilities

• Lead development and launch of CV/ML solutions for synthetic data generation used to train AR/VR models.
• Collaborate with cross-functional teams including software, simulation, ML, and hardware to design and deploy image synthesis solutions.
• Mentor and recruit ML engineers/scientists; drive roadmap and OKRs for synthetic data initiatives.
• Optimize ML models for scale, performance, and maintainability in AR/VR systems.

Job description

Meta Reality Labs is looking for a lead computer vision engineer to drive synthetic data generation and simulation for our AR/VR products, including the Quest line. This role will contribute to the creation of next-generation AR/VR interaction technologies in a cross-functional team of software, infra, computer vision, machine learning, simulation, and AI image generation engineers. This role will leverage expertise in computer vision, synthetic data, and AI-based image generation to contribute to ML models shipped in Meta AR/VR products. This role collaborates with cross-functional teams on image simulation, core AI, computer graphics, machine vision research, and HW design.The immediate team for this role is composed of Computer Vision, Machine Learning and Software Engineers. We work cross-functionally with teams across multiple disciplines, such as simulation, AR/VR optics, Reality Labs Research, silicon, and sensors, to design and develop novel ML solutions tailored for the requirements and constraints of each particular device.Research Engineer, Synthetic Data Generation Responsibilities:Explore, innovate, and leverage novel technologies, from internal and external publications, to improve the realism, diversity, controllability, and generalizability of image synthesis, including techniques to enhance appearance and geometric realism, conditional image generation based on specific conditions or constraints, such as metadata, text-based categories, image masks, or multiple input modalities, and controllable image generation with manipulation of specific attributes like style and appearanceHands-on contribution to synthetic image generation using deep generative models, computer graphics, or physics-based simulationTech lead for development and launch of CV/ML solutions for generating and synthesizing images used in the training of AR/VR models and system designDrive cross-functional collaborations with partner teams, including but not limited to, Reality Labs Research, simulation, data systems, and Meta Superintelligence LabCo-own strategic planning, OKR setting, and roadmap generation for synthetic data and other R&D initiativesContribute to recruitment, mentoring, onboarding, and supporting the professional development of ML engineers/scientists, interns, and contractorsOptimize machine learning models for performance, scalability, and maintainabilityCollaborate with other engineers and data scientists to develop and deploy machine learning solutionsMinimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experiencePhD in Computer Science or a related field with published projects in the fields of synthetic data generation, machine learning, deep learning, and/or computer vision5+ years of technical leadership experience driving medium to large-scale cross-functional R&D projects focused on machine learning and computer visionExperience implementing computer vision algorithms and deep learning models in C++ and Python, including hands-on work with 3D geometry, image processing, or sensor fusionExperience in communicating complex technical research to cross-functional audiences through written documents, design reviews, or conference presentationsProblem-solving and interpersonal skills and experience to lead technical projects independentlyPreferred Qualifications:Experience in classical image processing and pose estimationExperience in computer graphics, procedural generation, and avatar renderingDemonstrated track record of peer-reviewed publications in computer vision or machine learning at venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, or equivalentsWork experience in the AR/VR industryExperience in designing data collection protocols and quality control, manifested in solid contributions in constructing high-quality computer vision and machine learning datasetsAbout 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 [e-mail].$183,997/year to $257,000/year + bonus + equity + benefitsIndividual 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.