META
Software Engineer, Computer Vision - Reality Labs
META - New York, New York, us, 10261
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Overview
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Overview
Summary:
Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.As Computer Vision Software Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come. We're the people helping to define the metaverse. We may not have all the answers. But together, we're getting closer.Meta is seeking AI Software Engineers to join our Research & Development teams. The ideal candidate will have industry experience working on computer vision related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.
Required Skills:
Software Engineer, Computer Vision - Reality Labs Responsibilities:
Apply relevant AI and machine learning techniques to build intelligent rich visual systems that improve Meta's products and experiences
Consistently and sustainably advance the state of AI for your problem, including setting and executing against roadmaps for 6-month plus timeframes
Effectively define projects for other engineers to possibly solve and achieve impact based on your direction
Develop novel, accurate AI algorithms and advanced systems for large scale applications
Understand why some signals and model configurations work while others don't and be able to drive more gain from these findings
Define use cases and develop methodology and benchmarks to evaluate different approaches
Minimum Qualifications: Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Experience developing computer vision algorithms or computer vision infrastructure in C/C++ or Python
Experience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligence
Preferred Qualifications: Preferred Qualifications: Experience in deep learning and PyTorch
Experience with distributed systems or on-device algorithm development
Experience contributing to AI Publications
Public Compensation: $70.67/hour to $208,000/year + bonus + equity + benefits Industry:
Internet Equal Opportunity: 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 accommodations-ext@fb.com.
Consistently and sustainably advance the state of AI for your problem, including setting and executing against roadmaps for 6-month plus timeframes
Effectively define projects for other engineers to possibly solve and achieve impact based on your direction
Develop novel, accurate AI algorithms and advanced systems for large scale applications
Understand why some signals and model configurations work while others don't and be able to drive more gain from these findings
Define use cases and develop methodology and benchmarks to evaluate different approaches
Minimum Qualifications: Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Experience developing computer vision algorithms or computer vision infrastructure in C/C++ or Python
Experience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligence
Preferred Qualifications: Preferred Qualifications: Experience in deep learning and PyTorch
Experience with distributed systems or on-device algorithm development
Experience contributing to AI Publications
Public Compensation: $70.67/hour to $208,000/year + bonus + equity + benefits Industry:
Internet Equal Opportunity: 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 accommodations-ext@fb.com.