Applied ML Engineer
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Before you apply
LocationUnited States - Remote
Work moderemote
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentEngineering
Company size4+ people
PostedJan 13, 2026 · 9mo ago
Verified live2d ago
May no longer be actively hiring
Posted by the company on Jan 13, 2026
At a glanceSummarised by Seekless from the posting.
5+ years of experience in delivering and supporting production AI/ML products
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
Drive to want to work with and learn from, eager to help shape a high-caliber engineering team
Proven track record with companies known for strong engineering cultures, including meaningful startup experience
About the company
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
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Ship and support AI-native products from concept to production.
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Apply sound judgment on building and maintaining high-performing production ML systems.
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Stay deeply informed on the latest machine learning research and developments.
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Collaborate with a team of strong engineers; serve as a mentor and resource for other high-potential ML engineers.
Skills & Experience Needed
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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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