Applied Research Scientist, Computer Vision - MRS
Menlo Park, CA
Responsibilities include leading and collaborating on research that advances the state of the art, training production-quality single- and multi-modal content understanding models on billions of data samples, integrating the models into downstream applications, and working with and creating large datasets and benchmarks.Applied Research Scientist, Computer Vision - MRS Responsibilities
- Develop algorithms based on state-of-the-art machine learning and neural network methodologies.
- Conduct research that enables learning the semantics of data (images, video, and their relationship to text, audio, speech and other modalities).
- Carefully evaluate the performance of proposed models.
- Collaborate on bringing the models from prototyping to production within a globally-based team.
- Initiate and lead research projects within a team and collaborate with cross-functional partners.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- A PhD degree in AI, computer science, data science, or related technical fields.
- Research background in Computer Vision, Deep Learning, Machine Learning, or related field(s).
- 2+ years of Industry or academic research experience on cutting edge computer vision technologies
- Experience in developing and debugging in Python or similar programming languages.
- Experience in deep learning frameworks such as PyTorch or TensorFlow.
- Experience in theoretical and empirical research and in addressing research problems.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, or first-authored publications at conferences such as CVPR, ECCV, ICCV, ICML, NeurIPS, SIGGRAPH, or similar.
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
- Experience working and communicating cross functionally in a team environment.
- Experience in leading, planning and coordinating long-term research-to-production projects.
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
Tags: Computer Science Computer Vision Deep Learning Engineering ICML Machine Learning NeurIPS PhD Physics Prototyping Python PyTorch Research TensorFlow VR
Perks/benefits: Career development Conferences Equity Flex vacation Health care Salary bonus
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