At WHOOP, we're on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
As a Software Engineer II focused on AI Tooling, you will help build innovative, user-centric AI systems that power the next generation of internal tools at WHOOP. Your work will directly impact teams across the company by delivering intelligent applications like large language model (LLM)-powered assistants for translating natural language to SQL, translation services, and more. You’ll also contribute to tools that accelerate the machine learning and artificial intelligence development process across WHOOP. You'll work across the stack to prototype, deploy, and scale ML and AI tools that enhance productivity, decision-making, and automation.
This role is ideal for an engineer who is excited about applied AI, thrives in cross-functional environments, and wants to build cutting-edge tools using modern LLM technologies.
Learn more about how to be successful in your engineering career at WHOOP via our Career Framework.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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Our mission at WHOOP is to unlock human performance. We believe that every individual has an inner potential that can be enhanced through continuous monitoring. As such we've built a system across hardware, software, and analytics designed to coll...
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