Applied Machine Learning Engineer (Remote)
Straight from Stealth Startup’s careers page. Apply on the company site — no recruiter, no middleman.
Applied ML Engineer
Department: Engineering
Location: United States - Remote
Employment Type: FullTime
A bit about the Founder: 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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