Stealth Startup

Applied ML Engineer

Full-time · United States - Remote
✓ Verified live on the employer's own system · added 207 days ago
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Mid-level · 5+ yrs exp

Requirements

Experience: 5+ years

Skills & tools

ResearchTeam LeadershipMaintenance
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Full job description

A bit about the Founder: Thejo https://www.linkedin.com/in/thejo/, is a multiple-time founder who previously built Airbase (acquired by Paylocity for ~$400M) and Automatic (YC S11, acquired by SiriusXM for $115M). He has since started his own venture studio, where he is incubating a couple of companies and building the initial teams.

About the Role We are looking for an Applied ML Engineer! We are building next-generation AI-native products, and seeking talented engineers passionate about machine learning and making an impact at an early-stage company.

Responsibilities - Ship and support AI-native products from concept to production. - Apply sound judgment on building and maintaining high-performing production ML systems. - Stay deeply informed on the latest machine learning research and developments. - Collaborate with a team of strong engineers; serve as a mentor and resource for other high-potential ML engineers.

Skills & Experience Needed - 5+ years of experience in delivering and supporting production AI/ML products. - An advanced degree in Machine Learning, Theoretical Computer Science, Mathematics, or Physics, or equivalent experience evidenced by meaningful contributions to open-source AI/ML projects or the creation of successful AI products. - Excellent decision-making skills regarding large-scale ML system design and maintenance. - Strong awareness of current trends and progress in machine learning research. - A drive to want to work with and learn from, eager to help shape a high-caliber engineering team. - A proven track record with companies known for strong engineering cultures, including meaningful startup experience.

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