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Senior Machine Learning Engineer

, CA, United States

Senior Machine Learning Engineer

Late stage startup

$250,000 base + $400K - $750K equity (4 year vest)

Hybrid 3 days per week - SF

Our client is a rapidly growing well funded tech firm who are nearing IPO. You will join a 10-person ML team (part of a 200-person engineering team) that builds end-to-end ML models that solve business problems.

They like candidates with a SWE background who are currently building ML models that are deployed to production. You will need strong ML skills, system architecture, and backend coding to pass the interview :)

You're a Perfect Fit if you:

Build exceptional systems with a proven track record of quality and reliability.

Prioritize quality with a zero-tolerance policy for regressions, implementing meticulous testing practices.

Collaborate and lead as a team player with exceptional communication skills and a natural leadership presence.

Continuously improve by seeking ways to enhance projects through direct contributions and advocating for long-term changes.

Thrive in a fast-paced environment, relishing the challenge and excitement of working at a growth-focused tech company.

About You:

4+ years of experience building production-grade systems.

Experience with popular machine learning libraries (TensorFlow/PyTorch, xgboost).

Proficiency in Python and data analysis tools (pandas, matplotlib, SQL, Spark).

Experience using machine learning and data analysis to build scalable systems and data-driven products.

Proven ability to develop, validate, implement, and automate large-scale data analyses and machine learning models.

The Impact You'll Make:

Join a team that empowers thousands of brands and processes massive volumes of data.

Master a cutting-edge tech stack to deliver exceptional results.

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