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Machine Learning Researcher | San Francisco (onsite) | up to $250k base + equity
You’ll work across the entire ML stack to build large-scale data pipelines, develop novel model architectures, and rapidly iterate on experiments while staying current with cutting-edge research. The team is looking for someone with strong ML fundamentals, experience training models and scaling distributed systems.
