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Wearable Sensor Research Jobs (NOW HIRING)

Whoop

Senior AI/ML Researcher (Foundation AI)

Boston, MA

$190K - $230K/yr

Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data. * Conduct applied research in self-supervised learning ...

Whoop

Senior AI/ML Researcher (Foundation AI)

Boston, MA · On-site

$190K - $230K/yr

Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data. * Conduct applied research in self-supervised learning ...

Whoop

Senior AI/ML Researcher (Foundation AI)

Boston, MA · On-site

$190K - $230K/yr

Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data. * Conduct applied research in self-supervised learning ...

Whoop

Principal AI/ML Researcher

Boston, MA · On-site

$270K - $300K/yr

... wearable sensor data, text, biomarkers, and behavioral signals, and personally own the highest-stakes, hardest-to-reverse design decisions. * Identify which research bets in self-supervised and ...

New

Whoop

Principal AI/ML Researcher

Boston, MA

$270K - $300K/yr

... wearable sensor data, text, biomarkers, and behavioral signals, and personally own the highest-stakes, hardest-to-reverse design decisions. * Identify which research bets in self-supervised and ...

New

Apple

Biomedical Sensor Architect

Cupertino, CA · On-site

Description You will be working with a team of research scientists and hardware engineers ... Minimum Qualifications Knowledge of optical system design for wearable sensing applications ...

Whoop

Principal AI/ML Researcher

Boston, MA

$270K - $300K/yr

... wearable sensor data, text, biomarkers, and behavioral signals, and personally own the highest-stakes, hardest-to-reverse design decisions. * Identify which research bets in self-supervised and ...

New

Whoop

Principal AI/ML Researcher

Boston, MA · On-site

$270K - $300K/yr

... wearable sensor data, text, biomarkers, and behavioral signals, and personally own the highest-stakes, hardest-to-reverse design decisions. * Identify which research bets in self-supervised and ...

New

Apple

Biomedical Sensor Architect

Cupertino, CA

$184K - $324K/yr

Description You will be working with a team of research scientists and hardware engineers ... Minimum Qualifications Knowledge of optical system design for wearable sensing applications ...

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Wearable Sensor Research information

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$11K

$112.8K

$129K

How much do wearable sensor research jobs pay per year?

As of Jul 20, 2026, the average yearly pay for wearable sensor research in the United States is $112,800.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $129,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in wearable sensor research, and how can they be addressed?

Professionals in wearable sensor research often encounter challenges such as ensuring data accuracy in diverse real-world environments, achieving comfort and usability for end-users, and maintaining reliable device connectivity. Addressing these challenges typically involves close collaboration with multidisciplinary teams, including engineers, designers, and healthcare specialists, to iterate on prototypes, conduct user testing, and refine algorithms. Staying updated on advancements in material science and data analytics also plays a crucial role in overcoming technical obstacles and delivering practical solutions.

What is the market for wearable sensors?

The wearable sensor market is rapidly growing, driven by applications in healthcare, fitness, and industrial monitoring. Wearable sensor research roles involve developing and testing sensors for real-time data collection, requiring knowledge of electronics, data analysis, and device integration. The industry is expected to expand as demand for health tracking and remote monitoring increases.

What is the highest paying medical research job?

In wearable sensor research, senior roles such as principal investigators or research directors tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced degrees, extensive experience, and expertise in biomedical engineering, data analysis, or related fields.

What is the most futuristic job?

A wearable sensor researcher works on developing advanced sensors integrated into clothing or accessories to monitor health, activity, or environmental data. This field involves skills in electronics, data analysis, and biomedical engineering, often utilizing emerging technologies like flexible electronics and machine learning. Such roles are considered highly innovative and forward-looking within the tech and healthcare industries.

What are wearable devices in clinical research?

Wearable devices in clinical research are electronic sensors worn on the body that continuously monitor physiological data such as heart rate, activity levels, and sleep patterns. Researchers use these devices to collect real-time, objective health data, which can improve the accuracy and efficiency of clinical studies. Roles in wearable sensor research often involve data analysis, device calibration, and ensuring device compliance within study protocols.

What are the key skills and qualifications needed to thrive in wearable sensor research, and why are they important?

To thrive in wearable sensor research, you need expertise in biomedical engineering, sensor technology, data analysis, and typically a relevant advanced degree (MSc or PhD). Familiarity with programming languages (e.g., Python, MATLAB), hardware prototyping tools, and data acquisition systems is essential. Strong problem-solving abilities, interdisciplinary collaboration, and effective communication help drive innovation and successful research outcomes. These skills enable researchers to develop reliable, user-friendly wearable technologies that address real-world health and performance challenges.

What is the difference between Wearable Sensor Research vs Wearable Device Development?

AspectWearable Sensor ResearchWearable Device Development
CredentialsBackground in engineering, biomedical sciences, or related fieldsSimilar credentials, often with additional focus on product design and engineering
Work EnvironmentResearch labs, universities, or R&D departmentsProduct design teams, manufacturing facilities, or tech companies
Industry UsageFocuses on sensor innovation, data collection, and analysisFocuses on integrating sensors into functional wearable products
Search & Comparison IntentUnderstanding research roles and scientific focusExploring product development careers and practical applications

Wearable Sensor Research involves exploring sensor technologies and data analysis in labs or academic settings, while Wearable Device Development emphasizes creating and engineering complete wearable products. Both roles share similar backgrounds but differ in focus—research versus product creation.

What is wearable sensor research?

Wearable sensor research is the scientific study and development of devices that can be worn on the body to monitor various physiological, behavioral, or environmental data. This field combines expertise from engineering, health sciences, and data analytics to create sensors that track metrics such as heart rate, activity levels, sleep patterns, and more. Researchers in this area aim to improve the accuracy, comfort, and usability of wearable sensors for applications in healthcare, fitness, and everyday life. The ultimate goal is to enable real-time monitoring and support for individuals, promoting better health outcomes and quality of life.
More about Wearable Sensor Research jobs
What cities are hiring for Wearable Sensor Research jobs? Cities with the most Wearable Sensor Research job openings:
What states have the most Wearable Sensor Research jobs? States with the most job openings for Wearable Sensor Research jobs include:
What job categories do people searching Wearable Sensor Research jobs look for? The top searched job categories for Wearable Sensor Research jobs are:
Wearable Sensor Research jobs near you
Infographic showing various Wearable Sensor Research job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $112,800 per year, or $54.2 per hour.
Senior AI/ML Researcher (Foundation AI)

Senior AI/ML Researcher (Foundation AI)

Whoop

Boston, MA

$190K - $230K/yr

Full-time

Re-posted 28 days ago

Job description

WHOOP is an advanced health and fitness wearable on a mission to unlock human performance and extend healthspan. By providing members with a deep understanding of their bodies, behaviors, and daily lives, WHOOP empowers healthier choices and peak performance. 

We are seeking a Senior AI Researcher to join our Foundation AI team. This team builds the multimodal foundation models that underpin WHOOP’s next generation of intelligent, personalized, and health-enhancing experiences. These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior.

In this role, you’ll serve as a senior individual contributor driving the research, development, and deployment of large-scale multimodal models. You’ll collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members.

RESPONSIBILITIES:
  • Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data.
  • Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities.
  • Develop scalable, distributed training pipelines for large models on high-performance compute environments.
  • Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability.
  • Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value.
  • Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP.
  • Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI.
QUALIFICATIONS:
  • Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience.
  • 7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems.
  • Expertise in modern deep learning (e.g., transformers, state space models), multimodal model training. 
  • Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). 
  • Familiarity with training models on  mulit-node, multi-gpu distributed compute environments. 
  • Familiarity with best practices for data, model, and context parallelisms.
  • Strong applied experience with representation learning, self-supervised methods, and post-training for downstream applications.
  • Experience with reinforcement learning for post-training foundation models (PPO, DPO, GRPO etc.). 
  • Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute.
  • Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams.
  • Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology.
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 $190,000 - $230,000. 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.
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About Whoop

Sourced by ZipRecruiter

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users (Olympians, Professional Athletes, Fitness Enthusiasts, etc) to perform at a higher level through a deeper understanding of their bodies and daily lives.

Industry

Fitness and sports centers

Company size

501 - 1,000 Employees

Headquarters location

Boston, MA, US

Year founded

2012

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