Senior Signal Processing Engineer

WHOOP

Senior Signal Processing Engineer

Reposted 2 Hours Ago

Easy Apply

Be an Early Applicant

Boston MA USA

Hybrid

Senior level

Fitness • Hardware • Healthtech • Sports • Wearables

Power your performance with 24/7 data

The Role

Design and implement algorithms to extract physiological signals from noisy biosensor data optimize on-device computation and battery use deploy and optimize ML models for real-time edge inference collaborate with firmware data science and product teams and validate production-ready code and clinical-study–driven analytics.

Summary Generated by Built In

Senior Signal Processing Engineer

Boston MA

Duties:

Whoop Inc. seeks a Senior Signal Processing Engineer (Boston MA) to design and implement
algorithms to extract physiological information from noisy biosensor data and optimize on-
device computation. Partner with Firmware and Data Science teams to deploy artificial
intelligence and machine learning models on edge devices. Optimize models for real-time
inference on edge devices including analysis and improvement of battery consumption patterns.
Collaborate with the Signal Processing team to develop algorithms that personalize calculations
based on member data. Research and design innovative algorithms to improve performance
under edge-computation constraints. Contribute to software development debugging and
validation to ensure production-ready code and reliable results. Build train and test machine
learning models for large-scale data processing on edge devices. Collaborate with Product
Managers to translate member needs into machine learning–based solutions.

Requirements:

Master's degree in Computer Science Applied Mathematics Electrical Engineering Biomedical
Engineering or related field (or foreign degree equivalent) and at least 4 years of experience
with signal processing and/or machine learning. At least 4 years of experience developing and
implementing AI solutions for real-time processing on edge devices; At least 4 years of
experience collaborating with cross-functional teams to understand requirements and design
efficient edge computing solutions; At least 4 years of experience with biosensor systems and
analyzing biomedical data; At least 4 years of experience with signal and image processing
applications (C C++ Python or MATLAB); At least 4 years of experience with ML libraries
such as scikit-learn Tensorflow PyTorch or Keras; At least 4 years of experience with statistical
method and design of clinical studies; At least 4 years of experience with code and battery
optimization on the edge; At least 4 years of experience adapting to changing requirements while
producing high quality reports under tight deadlines. Full-time position.

Skills Required

Master's degree in CS Applied Math EE Biomedical Eng or related (or foreign equivalent)
At least 4 years experience with signal processing and/or machine learning
At least 4 years developing and implementing AI solutions for real-time edge devices
At least 4 years collaborating with cross-functional teams to design efficient edge computing solutions
At least 4 years experience with biosensor systems and analyzing biomedical data
At least 4 years experience with signal and image processing applications using C C++ Python or MATLAB
At least 4 years experience with ML libraries such as scikit-learn TensorFlow PyTorch or Keras
At least 4 years experience with statistical methods and design of clinical studies
At least 4 years experience with code and battery optimization on edge devices
At least 4 years experience adapting to changing requirements while producing high-quality reports under tight deadlines

What the Team is Saying

View all jobs at WHOOP

View WHOOP Profile

Report Job

Am I A Good Fit?

beta

Get Personalized Job Insights.

Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company

HQ: Boston MA

500 Employees

Year Founded: 2012

What We Do

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. Our wearable device and performance optimization platform has been adopted by many of the world's greatest athletes and consumers alike.

Why Work With Us

At WHOOP we’re focused on building an inclusive and equitable team with a strong sense of belonging for everyone—increasing representation in every way as our team grows. We believe that our differences are our source of strength—so much so it’s one of our core values. 