מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
As an Applied Scientist, you will be conceiving, designing, and bringing to market computer vision techniques for a new-to-world smart home product. In this role, you will work daily on challenging problems from the perspective of both a research and production engineer. You will be responsible for developing techniques from invention to validation, and working cross-functionally to ship your algorithms into production. Broad knowledge of modern computer vision techniques, and how to apply them in practice, is required. You will need to develop new algorithms, drawing from state of the art methods, and be able to adapt them in order to work for new use cases in customer’s homes.This is a greenfield development effort, where you will need to define models, drive best engineering practices, and produce clean, re-usable code. You must be prepared to deal with ambiguity and be ready to learn as you go. You will have the opportunity to influence product decisions and direction that will impact millions of customers.Key job responsibilities
- Develop GenAI applications
- Train and evaluate LLM's across different platforms
- Optimize various machine learning models including pruning and distillation, in addition to edge / cloud deployment
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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