Machine Learning Engineer, Future
$166-240k
+ Equity
Personalised training plans
Posted today
Personalised training plans
501-1000 employees
Posted today
$166-240k
+ Equity
501-1000 employees
Company mission
Creating change through partnership.
Role
Who you are
- 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
What the job involves
- As a Future Machine Learning Engineer, you’ll have the opportunity to directly influence the way people achieve their health and fitness goals, working at the heart of our mission
- You’ll play a critical role in advancing the core of our fitness app by developing and deploying machine learning systems that drive personalized experiences for our clients
- Working alongside one of our founders and a talented, integrated product and engineering team, you’ll have the opportunity to be at the forefront of machine learning innovation in fitness
- This role is perfect for someone who thrives in a fast-moving field, loves to build, and is excited to work on challenging problems that deliver real-world impact
- 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
Our take
An increasing number of people are becoming unhealthy as a result of their lifestyle choices or a lack of motivation. Unfortunately not everyone feels like going to the gym. Future offers one-on-one digital training with fitness coaches at home, the gym, or on-the-go. It wants to make sure that people can exercise anywhere, at any time, and that they keep up with a good fitness program.
Future pairs its clients with coaches who create a complete training plan based around the client’s goals and schedule. Each week, they’ll have new guided workouts in the Future app. The company uniques uses technology, such as sending the client an Apple Watch for easy tracking of progress. Its focus is on consumer experience and intimacy, connecting with its users and expressing that it cares about their well-being.
The company faces competition from Centr, Aaptiv, Fitocracy, Sworkit in a global digital fitness market expected to reach $26 billion by 2028. Its 2022 Series C funding will be invested into accelerating its product development efforts whilst pushing to boost its revenue in the coming years.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
82% employee growth in 12 months
Company
Company benefits
- Join a diverse, passionate & driven team of all backgrounds
- Accelerated growth potential. We rapidly advance team members who have an outsized impact
- Competitive salary & equity packages
- Comprehensive health benefits (medical, dental, vision) to fit your needs
- Wellness & Work From Home subsidies
- Flexible vacation policy
Company HQ
Financial District, San Francisco, CA
Articles
Leadership
Rishi Mandal
(CEO & Co-Founder)Former Director of Product at Postmates and Senior Product Manager at Google. Co-founder of Sosh and former CEO. BSc at Stanford in Astro-Physics.
Justin Santamaria
(CTO & Co-Founder)Co-founder and former CTO of Rolo. Former Director of Platforms & Guest Experiences in Airbnb and Senior Engineering Manager at Apple. BSc in Computer Science at Stanford.
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