WHOOP · 1 day ago
Sensor Intelligence Engineer II (Tools & Validation)
Boston, MA
Full-time
Onsite
Entry, Mid Level
$125K/yr - $175K/yr
2+ years expWHOOP is on a mission to unlock human performance by empowering members to understand their bodies and daily lives. As a Sensor Intelligence Engineer, you will work on extracting physiological information from sensor data and enhancing diagnostic tools, collaborating with various teams to improve product performance.
Consumer ElectronicsFitnessSportsWearablesWellness
Responsibilities
Collaborate closely with Data Science and Research teams to enhance user metrics by developing innovative and creative algorithms
Partner with WHOOP Labs to plan data collections, define acceptance criteria, and assess algorithm readiness for real-world deployment
Validate wearable technology in clinical settings, analyze biomedical data, and prepare comprehensive reports for cross-functional teams
Monitor and ensure the proper functioning of algorithms across our diverse user population, addressing issues related to data quality
Contribute to ongoing research efforts and explore new features to improve the overall performance of our products
Help establish standards and workflows for data analysis, reporting, and dashboard development
Participate in software development, debugging, and validation processes to ensure code and results are production-ready
Utilize expertise in signal processing and time-series analysis to analyze biosensor systems and optimize their performance
Create and implement mathematical models and machine learning algorithms for processing large-scale data and extracting valuable insights
Qualification
Required
Bachelor's or Master's degree in applied mathematics, statistics, electrical engineering, biomedical engineering, or a related field
A minimum of 2 years of industry or research experience in signal processing and/or machine learning
Ability to work with time-series data; familiarity with core signal processing concepts (filters, spectral analysis/FFT, peak detection, windowing)
Domain exposure to wearable biosignals and real-world noise and artifacts
Experience developing back-end tools for data processing and analysis
Proficiency in C and/or Python programming languages
Solid grounding in statistical inference (e.g., study design, hypothesis testing, regression analysis, bootstrapping), with the ability to choose appropriate methods and articulate trade-offs
Familiarity with machine learning libraries such as scikit-learn, TensorFlow, PyTorch, Keras, etc
Strong communication skills with a track record of concise, visual storytelling and documentation
Demonstrated ability to think innovatively and adapt to changing requirements while consistently producing high-quality reports within tight deadlines
Experience with version control systems (e.g., Git), CI/CD pipelines, and cloud computing platforms (e.g., AWS)
Experience querying data in modern data warehouses (e.g., Snowflake)
Benefits
Meaningful equity
Benefits
A generous equity package
Company
WHOOP
WHOOP is a fitness tech company that offers wearables that track sleep, recovery, and performance.
501-1000 employees
H1B Sponsorship
WHOOP has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (32)
2024 (18)
2023 (15)
2022 (5)
2021 (17)
2020 (6)
Funding
Current Stage
Late StageTotal Funding
$404.75MKey Investors
SoftBank Vision FundIVPFoundry Group
2026-01-15Undisclosed
2021-08-30Series F· $200M
2020-10-28Series E· $100M
Leadership Team
Will Ahmed
Founder & CEO
Aurelian Nicolae
Co-Founder & Chief Hardware Engineer
Recent News
2026-01-21
2026-01-20
Company data provided by crunchbase