Applied AI Engineer
FutureAdvisor - Remote
Posted Apr 8, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Applied AI Engineer Remote About Future At Future, we believe that personal connection is the key to progress. Our mission is to make world-class coaching accessible to everyone, helping people unlock their full potential through expert guidance, motivation, and accountability. As a digital personal training platform, we deliver highly personalized coaching, tailoring workout plans and support to each individual's goals - all through a seamless app experience. Since launching in 2017, Future has grown from a brainstorm in a San Francisco cafe into the nation's largest provider of personal training sessions. In January 2025, Future announced its merger with Autograph, the company founded by 7x World Champion and entrepreneur Tom Brady. We're poised for massive growth as we expand our brand, forge new partnerships with some of the world's most iconic athletes, and harness AI to enhance and scale our coaching experience. As we continue to grow, we're investing in cutting-edge technology, deepening our roster of elite coaches, and building new partnerships. If you're passionate about shaping the future of fitness, come join us - we're just getting started. About the Role We're looking for an Applied AI Engineer to help us build and ship AI-powered features that directly improve our product experience and business outcomes. This is a hands-on, product-focused role where you'll take ideas from concept to production - designing intelligent systems, validating them with real users, and turning them into reliable, scalable services. You'll work at the intersection of AI, product, and engineering - partnering closely with
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