Meta Platforms, Inc.
Lead Software Engineer - Computer Vision, Synthetic Image GenerationPosted
4 weeks 5 days ago
To see more jobs like this as they come available
Visit the Career page to search more jobs now
Scroll to the bottom to apply
Job Description
(click to see jobs for roles related to this one)
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-gen 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, HW design. The immediate team for this role is composed of Computer Vision, Machine Learning and SW 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.
Lead Software Engineer - Computer Vision, Synthetic Image Generation Responsibilities
* Tech lead for development and launch of CV/ML solutions for generating and synthesizing images used in training of AR/VR models and system design
Drive cross-functional collaborations with partner teams including but not limited to RL research, simulation, data systems, CoreAI, and GenAI.
Hands-on contribution to synthetic image generation using deep generative models, computer graphics, or physics-based simulation
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 appearance.
Co-own strategic planning, OKR setting, and roadmap generation for synthetic data sub-team. Co-create roadmap and vision for R&D initiatives.
Contribute to recruitment, mentoring, onboarding, and growing ML engineers/scientist, interns, and contractors.
Work with RL leadership and cross-functional teams to understand business requirements and translate them into machine learning projects
Optimize machine learning models for performance, scalability, and maintainability. Collaborate with other engineers and data scientists to develop and deploy machine learning solutions.
Minimum Qualifications
* Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Proven Technical background in one or more of the following areas: Machine Learning, Deep Learning, Neural Networks, Image Processing, Computer Vision, Image Synthesis, Generative AI.
Experience in developing computer vision algorithms and deep learning models in Pytorch, Tensorflow and similar platforms.
Working knowledge of synthetic image generation using deep generative models, computer graphics, or physics-based simulation.
5+ years of technical leadership experience driving medium to large-scale cross-functional R&D projects focused on machine learning and computer vision.
Proven programming skills in Python and C/C++
Experience with distributed computing and large-scale data processing
Problem-solving and interpersonal skills and experience to lead technical projects independently
Proven communication and collaboration skills
Preferred Qualifications
* Ph.D. in Computer Science, Electrical Engineering, Data Science, or equivalent field
Publication track record in image generation and computer vision in top conferences including CVPR, NeurIPS, ICCV, ICML, etc.
Experience in computer graphics, procedural generation, and avatar rendering
Experience in classical image processing and pose estimation
Work experience in AR/VR industry
Locations
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.
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.
$85.10/hour to $251,000/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.
Use the apply button below to start the application on our partner site.
Apply on employer site
Find more jobs like this using our Career Search Tool.
Need help with your career search including preparing your resume, networking, company research or even figuring out what kind of job you want? Check out our other career resources.
Need help finding more jobs that might be a good fit for your experience?Click here to evaluate your fit across all the roles on our site at once