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Doe

Posted 10 months ago

Open

Machine Learning Researcher

San FranciscoOn-siteFull-time

AI Summary

Machine Learning Researcher develops and iterates ML models and pipelines, focusing on rapid iteration, bottleneck identification, and delivering high-impact results.

About this role

At Doe, we’re building an AI workforce that operates mission-critical workflows across private equity-backed rollups - starting with DSOs. These agents need to be fast, resilient, auditable, and secure.

Here's why we might not be the right fit for you:

• We work hard and have a high-velocity environment with lots of growth opportunities.

• We value exceptional performance and continuous improvement. We believe that if you aren't constantly learning, you aren't growing.

• You will be responsible and accountable for making high-impact decisions that determine

Who we're looking for:

  • Someone who has a deep understanding of the ML development cycle, focusing on iteration speed and identifying bottlenecks

  • Someone who is goal-oriented and driven. You must be comfortable being given a goal and doing whatever is necessary to achieve the goal

  • Proficient in Python, Tensorflow or PyTorch

Skills

AuditingBottleneck AnalysisMachine LearningML Development CycleModel DeploymentModel IterationPythonPyTorchSecurityTensorFlow

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