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As a Sensor Intelligence Engineer, you'll collaborate across teams to enhance wearable technology through algorithms and data analysis, ensuring quality and functionality while contributing to product performance.
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 Sensor Intelligence Engineer at WHOOP, you will be part of a cross-functional team composed of DSP, Apparel & Accessories, WHOOP Labs, Firmware, and Data Science. You will work on the core, fundamental features at WHOOP. This role is tasked with solving the technically challenging problem of extracting physiological information from noisy sensor data, while enhancing diagnostic tools and control methodologies.
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.
QUALIFICATIONS:
- 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).
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.
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.
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 company’s long-term growth and success.
The U.S. base salary range for this full-time position is $125,000 - $175,000. 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.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
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 candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Top Skills
AWS
C
Keras
Python
PyTorch
Scikit-Learn
Snowflake
TensorFlow
WHOOP Boston, Massachusetts, USA Office
1 Kenmore Sq, Boston, MA, United States, 02215
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