About WHOOP
Unlocking human performance through health tracking
Key Highlights
- Headquartered in West Fens, Boston, MA
- Over 1,000 employees and $404.8 million in funding
- Unique subscription model for ongoing health data access
- Holistic health tracking including sleep and recovery metrics
WHOOP is a leading provider of wearable health and fitness devices, headquartered in West Fens, Boston, MA. With over 1,000 employees and $404.8 million in funding from investors like Accel and NextView Ventures, WHOOP focuses on optimizing human performance through continuous monitoring of recovery...
🎁 Benefits
WHOOP offers a flexible vacation policy, 18 weeks of paid parental leave, and a $500 annual wellness stipend. Employees also receive stock options, a ...
🌟 Culture
WHOOP fosters a culture centered around health optimization and data-driven insights. Their holistic approach to performance tracking, including metri...
Skills & Technologies
Overview
WHOOP is hiring a Staff Machine Learning Engineer to drive the research, development, and deployment of large-scale multimodal models. You'll work with technologies like Python, TensorFlow, and PyTorch in Boston. This position requires significant experience in machine learning and deep learning.
Job Description
Who you are
You have extensive experience in machine learning and deep learning, with a strong background in developing and deploying large-scale models. Your expertise in Python and frameworks like TensorFlow and PyTorch allows you to create innovative solutions that enhance user experiences. You thrive in collaborative environments, working closely with data scientists and ML engineers to push the boundaries of AI technology.
You possess a deep understanding of multimodal models, integrating various data sources such as wearable sensors, language, and clinical information. Your ability to analyze complex datasets and derive actionable insights is key to your success in this role. You are passionate about health and fitness technology, and you understand how AI can unlock human performance and improve health outcomes.
What you'll do
As a Staff Machine Learning Engineer at WHOOP, you will lead the development of advanced AI systems that understand human physiology and behavior. You will collaborate with cross-functional teams to design and implement scalable models that deliver measurable value to our members. Your role will involve researching the latest advancements in AI and applying them to enhance WHOOP's product offerings.
You will be responsible for driving the entire lifecycle of model development, from research and experimentation to deployment and monitoring. Your contributions will directly impact the user experience, helping members make healthier choices and achieve peak performance. You will also mentor junior engineers, sharing your knowledge and fostering a culture of innovation within the team.
What we offer
At WHOOP, you will be part of a mission-driven company focused on improving health and performance through technology. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. Join us in our commitment to unlocking human potential and extending healthspan through cutting-edge AI solutions.
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