Senior ML Engineer
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The role
Understand the technical challenges of real-world problems, translate them from first principles, and map them to ML paradigms.
Define technical requirements covering data collection, evaluation metrics, and scalable production serving strategies.
Design and implement ML-based solutions and systems that can scale and evolve with product needs.
Analyze data to identify patterns and inform further development and optimization.
Communicate effectively across functions, produce technical reports, and tailor documentation for technical and non-technical audiences.
Stay up-to-date with industry trends, including large language models, vision models, and generative AI, to drive durable, high-quality outcomes.
Define technical requirements covering data collection, evaluation metrics, and scalable production serving strategies.
Design and implement ML-based solutions and systems that can scale and evolve with product needs.
Analyze data to identify patterns and inform further development and optimization.
Communicate effectively across functions, produce technical reports, and tailor documentation for technical and non-technical audiences.
Stay up-to-date with industry trends, including large language models, vision models, and generative AI, to drive durable, high-quality outcomes.
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Remote workPartial
CityRemote (US), United States