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    Machine Learning Tech Lead - San Francisco, United States - Commit Partnership

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    Description
    About the company:
    • Company Size - 25 People
    • Approx Funding - $30M
    • Company Stage - Series A
    • Backed by: Databricks Ventures, Bain Capital Ventures, Menlo Ventures
    • Industry - AI, ML, Databases, DCAI
    • Founding year
    • Tech Stack/Key Tech: Python, Pandas, scikit-learn, NumPy, Jupyter, PyTorch/PyTorch Lightning, Hugging Face, relational databases, AWS, Docker, Git, Jenkins, Sagemaker, MLflow, Databricks, Snowflake, Redshift, ELT tools, Cleanlab, and LangChain.
    We're looking for a Machine Learning Engineer to:
    • Leverage new Generative AI advances to create tools that automatically find & fix issues in datasets alongside MIT PhDs, who are veterans of the top tech companies in the world.
    • Pioneer scalable ML practices to supportndeployment of cutting-edge products for customers like Amazon & Google. The platform has several tools that automatically find & fix issues in datasets.
    • Collaborate with companies across diverse industries to tackle high-impact Data/AI challenges.
    • Lead and inspire a brilliant team of ML engineers in building the most effective Data-Centric AI platform.
    • Contribute to the community through publishing articles and open-source code.
    What you'll need:
    • Ph.D. in Machine Learning from a highly recognized university or equivalent tech industry experience.
    • 5+ years of experience, in a fast-paced, product-focused environment at a mix of startups and top tech enterprises
    • Notable publications or other industry recognition.
    • Exceptional Python skills and experience in productionizing code/models in cloud environments.
    • A history of early-stage or founder experience at a venture-backed tech company is strongly preferred.
    • A proactive mindset with the ability to learn quickly, take initiative, and thrive in a fast-paced environment.
    What you'll get:
    • Competitive Salary with significant equity in an early stage pioneer of DCAI backed by top investors.
    • Comprehensive benefits include premium health insurance, Unlimited PTO, Unlimited Sick Days, Parental leave, and more.
    • Unique travel allowance.
    • Unprecedented career progression opportunities.
    • The opportunity to work with brilliant founders, solving some of the most complex data problems in the world.
    Compensation:
    • $190,000 - $260,000 a year
    • Compensation is salary + meaningful equity in an early stage venture backed startup commensurate with experience.

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