Director of Machine Learning Platform Engineering, WHOOP
Wearable health and fitness devices
Job no longer available
Wearable health and fitness devices
1001+ employees
Job no longer available
1001+ employees
Company mission
To unlock human performance and Healthspan.
Role
Who you are
- Education: Bachelor's or advanced degree in computer science, engineering, or a related field. A strong academic background in data science and machine learning is desirable
- Experience: Minimum of 10 years of relevant experience, with at least 2 years in a leadership capacity. Prior experience developing and scaling data platforms for machine learning applications required
- Technical Skills: Proficiency in designing and implementing large-scale data processing and end-to-end ML pipelines. Strong expertise in cloud platforms and related services, such as AWS. Proficiency in Python and relevant data processing and manipulating libraries. Familiarity with data governance, security, and privacy requirements
- Leadership Abilities: Demonstrated success in leading and managing high-performing engineering teams. Strong interpersonal skills with the ability to collaborate effectively with diverse stakeholders. Proven track record of driving technical innovation and delivering complex projects on time and within budget
- Passion for Data and motivation to contribute to the advancement of human performance through data-driven insights
What the job involves
- Team Leadership: Build and manage a high-performing engineering team, providing mentorship, guidance, and support to facilitate their professional growth. Foster a collaborative and inclusive team culture
- Data Platform Strategy: Develop and execute the technical vision and roadmap for the data science platform, aligning it with WHOOP's overall business objectives. Drive innovation and identify opportunities to leverage emerging technologies
- Data Infrastructure: Oversee the design, development, deployment, and maintenance of WHOOP's data infrastructure, ensuring its reliability, scalability, and security. Architect robust and efficient systems for data collection, storage, processing, and analysis
- Model Development and Deployment: Collaborate with data science on end to end development and deployment of machine learning models including data preprocessing, feature engineering, model training, model evaluation, and model integration into production systems. Additionally implement and manage model versioning, tracking, and monitoring systems
- Collaboration: Collaborate closely with cross-functional teams, including data scientists, product managers, and software engineers, to understand their requirements and provide scalable solutions. Act as a bridge among the data science and engineering teams, fostering effective communication and knowledge sharing
- Technical Leadership: Stay abreast of the latest trends and advancements, and provide thought leadership to advance the team internally and evangelize the team externally
- Reports to the Senior Vice President of Data Science and Research
Our take
WHOOP develops wearable health-tracking devices designed to help athletes optimise their performance. Its technology continuously monitors recovery, sleep, and training hours to fine-tune both individual and team performance. Unlike competitors that primarily track exercise data, WHOOP's holistic approach includes metrics like heart rate variability, which can influence more effective and healthier exercise routines.
By focusing on a subscription model that includes the cost of the physical device, WHOOP differentiates itself from competitors that charge a higher one-time fee for their products. This model provides ongoing value and encourages users to stay engaged with their health data.
WHOOP's comprehensive monitoring of strain and recovery has given it a competitive edge, even as other brands like Fitbit have incorporated similar features. Beyond sports performance, WHOOP has conducted extensive research on predicting premature births, aiming to integrate these findings into their app. This commitment to broader health applications demonstrates WHOOP's dedication to advancing wearable health technology.
Steph
Company Specialist at Welcome to the Jungle
Insights
1% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Mar 2026
$575m
SERIES G
Aug 2021
$200m
SERIES F
Total funding: $979.8m
Company benefits
- Flexible Vacation: WHOOP has a flexible vacation policy that allows you to unwind, laptop-free, when you need it most.
- Focus on Family: We offer 18 weeks paid parental leave, plus an additional 2 weeks to gradually return to work.
- Get Invested: In addition to a competitive base salary and 401k, you're eligible to receive stock options to share in the future of WHOOP.
- WHOOP +1: Everyone on the team gets a complimentary WHOOP membership—plus another membership to share with a loved one.
- Health Matters: Our competitive benefits package covers medical, dental, and vision, in addition to mental health services, life and disability insurance, and more.
- Find Your Fit: Full-time employees get $500 a year to spend on wellness in whatever way they see fit, from fitness classes and memberships, to recovery services.
- It Pays to Sleep: Our Sleep Performance Program incentivizes employees to get more sleep. Log an average sleep performance of 85% or higher for the month and get a $100 bonus.
- Location, Location, Location: You can’t beat the views from the rooftop of One Kenmore Square. Feel inspired daily as you work, enjoy free snacks and coffee, and collaborate in the heart of Boston.
Company HQ
West Fens, Boston, MA
Leadership
Will Ahmed
(Founder & CEO)After graduating from Harvard with a Bachelor of Arts in Government and Economics, Will went on to hold Summer Analyst roles at Allen & Company and Lindsay Goldberg before founding WHOOP in 2012.
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