May 21, 2026 Melissa Kashouh

Whoop – Associate Director, Core Algorithms (Sensor Intelligence Group)

  • Anywhere

โ— TALENT ONE MARKET INTELLIGENCE: WHOOP

๐Ÿ”ฅ TALENT LIQUIDITY:
Extremely tight. The intersection of signal processing and production-grade ML is a niche with a 1:18 supply-to-demand ratio.

๐Ÿ“ˆ ALPHA SIGNAL:
This role puts you at the center of the ‘Healthspan’ economy. By mastering edge-intelligence, you become a high-value asset for any future hardware-AI unicorn, effectively future-proofing your mortgage payments against the volatility of pure software-only roles.

EST. COMPENSATION
$220k – $280k Base + Equity + Performance Bonus
SECTOR HEAT
85.8/100
CANDIDATE PROTOCOL: Focus your narrative on the ‘trilemma’ of sensor data: balancing battery life, latency, and algorithmic accuracy. If you have shipped firmware-level ML, you are the top 1%.

Official Role Description: Whoop

At WHOOP, weโ€™re on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives.We are seeking an Associate Director of Engineering, Core Algorithms to define and lead WHOOPโ€™s strategy for transforming physiological sensor data into real-time, production-grade intelligence. This role owns the technical vision and execution for core algorithm systems that power member-facing experiences across generations of WHOOP devices.You will operate at the intersection of machine learning, signal processing, and embedded systems, defining multi-year technical direction, scaling high-performing teams, and shaping how WHOOP delivers differentiated edge intelligence at scale. You will lead teams driving innovation in on-device intelligence, translating complex physiological data into scalable, high-quality insights while navigating tradeoffs across accuracy, latency, and efficiency. Your leadership will directly influence how WHOOP delivers meaningful, member-centric experiences across product generations.RESPONSIBILITIES:Lead and scale high-performing teams of machine learning and signal processing engineers, including senior ICs and tech leadsDefine and drive the roadmap for core algorithm systems and on-device intelligenceGuide key architectural and technical tradeoffs across accuracy, latency, power, and system constraintsDeliver end-to-end sensor-driven features from research through production deploymentDrive cross-functional execution across Firmware, WHOOP Labs, and Product; align stakeholders and manage complex dependenciesEstablish best practices for algorithm development, validation, integration, and lifecycle managementBalance long-term innovation with near-term product deliveryDevelop technical leaders and foster a culture of execution excellenceQUALIFICATIONS:Proven experience leading engineering teams in machine learning, signal processing, or embedded systems, including managing senior ICs or tech leadsStrong track record of delivering sensor-driven algorithms or systems into production environmentsExperience working across hardware, firmware, and data science boundaries, with a systems-level mindsetDemonstrated ability to define and communicate technical strategy and guide teams through ambiguityExperience driving cross-functional programs, aligning stakeholders, and influencing without direct authorityStrong communication skills, with the ability to translate complex technical concepts to diverse audiencesPassion for building teams, developing talent, and scaling engineering organizationsPREFERRED QUALIFICATIONS:Experience with physiological sensing (e.g., PPG, IMU, ECG) or wearable technologiesExperience optimizing models for edge deployment (e.g., quantization, latency, power constraints)Background in health, fitness, or consumer hardware productsExperience balancing long-term innovation vs. near-term product deliveryLearn more about our Software Org and how to be successful in yourย engineeringย career at WHOOP via ourย Career Framework.ย 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.ย Interested in the role, but donโ€™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.ย WHOOP is an Equal Opportunity Employer and participates inย E-verifyย to determine employment eligibility.ย  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.ย The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.ย At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the companyโ€™s long-term growth and success.ย The U.S. base salary range for this full-time position is $200,000 – $245,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.ย ย In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.ย These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidateโ€™s specific qualifications, expertise, and alignment with the roleโ€™s requirements.

Melissa Kashouh

Founder of Talent One I help enterprise leaders and investors forecast hiring surges, talent shortages, and market friction up to six weeks in advance using our patent-pending predictive intelligence platform. As the founder of Talent One AI (the intelligence layer of The Talent One), I built a system that turns lagging recruiting data into actionable foresight โ€” helping companies reduce technical debt, protect employer brand, and hire ahead of the curve. Based in Providence, Rhode Island.
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