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

You will:

• Research and apply state-of-the-art machine learning techniques to projects that enhance our client and coach experiences.
• Develop and train machine learning models in Python using modern machine learning frameworks and approaches.
• Design and create data sets from in-house data to support training and evaluation of machine learning models.
• Build, test, and deploy generative and predictive models that directly impact our products.
• Clearly articulate the design, implementation, and decision-making process behind your work.
• Maintain and monitor deployed systems, troubleshooting issues and improving performance as needed.
• Collaborate across teams to integrate machine learning solutions into Future’s products

You have: 

• Experience building, training, and deploying machine learning models in production environments.
• Proficiency in Python and experience with at least one modern machine learning framework (e.g., PyTorch, JAX, MLX, TensorFlow, Keras).
• A proven track record of shipping machine learning-powered products, with the ability to explain your specific contributions and the reasoning behind your technical decisions.
• A passion for learning, innovating, and staying on the cutting edge of the rapidly evolving machine learning field.
• Strong problem-solving skills and the ability to think clearly and critically while building practical solutions.
• The ability to communicate your work effectively, both technically and conceptually, to cross-functional team members.
• Authorization to work in the United States without the need for sponsorship.

Compensation, Benefits & Life at Future:

• Salary range: $166,000 - 240,000 / year + equity. The salary range is set based on multiple considerations including business needs, market demands, talent availability, experience, and unique skills and attributes. The base pay range is subject to change and may be modified in the future.
• Health coverage: All employees who meet the eligibility requirements have access to comprehensive medical, vision, dental, and disability insurance + tax savings accounts
• 401(k) plan
• Flexible Paid Time Off
• Future Membership: Enjoy our platform for free!
• Health, Wellness & Development: Health and fitness monthly stipend contributes to our employees’ overall wellbeing, with access to a mental health platform, reimbursement for medical travel, and an annual learning & development stipend.
• Remote First: Employment eligible to employees located anywhere in the continental US. No travel required.
• Join a diverse, passionate & driven team of all backgrounds.
• Accelerated growth potential. We rapidly advance team members who have an outsized impact.