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Phd Wearable Sensor Intern Jobs (NOW HIRING)

Apple

Biomedical Sensor Architect

Cupertino, CA

$129K - $225K/yr

PhD in Biomedical or Optical Engineering. 2+ years of industry experience in related field. Minimum ... design for wearable sensing applications including lens design, integration of electro-optical ...

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

We are looking for MS/PhD interns to join our core AI team for a 3-6 month internship to tackle ... Academic thesis or project experience in Multi-sensor Perception, Generative AI/Diffusion, Motion ...

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

We are looking for MS/PhD interns to join our core AI team for a 3-6 month internship to tackle ... Academic thesis or project experience in Multi-sensor Perception, Generative AI/Diffusion, Motion ...

Shift Robotics

Gait Control Engineer

Austin, TX · On-site

Implement sensor fusion pipelines for gait phase detection, motion estimation, and intent ... MS or PhD in Robotics, Mechanical Engineering, Electrical Engineering, or related field Experience ...

Shift Robotics

Gait Control Engineer

Austin, TX

Implement sensor fusion pipelines for gait phase detection, motion estimation, and intent ... MS or PhD in Robotics, Mechanical Engineering, Electrical Engineering, or related field Experience ...

Shift Robotics

Gait Control Engineer

Austin, TX · On-site

Implement sensor fusion pipelines for gait phase detection, motion estimation, and intent ... MS or PhD in Robotics, Mechanical Engineering, Electrical Engineering, or related field Experience ...

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Phd Wearable Sensor Intern information

What is the difference between Phd Wearable Sensor Intern vs Phd Biomedical Engineer?

AspectPhd Wearable Sensor InternPhd Biomedical Engineer
CredentialsPhD or pursuing PhD in engineering, computer science, or related fieldsPhD in biomedical engineering, electrical engineering, or related fields
Work EnvironmentResearch labs, tech companies, startups focusing on wearable techHospitals, research institutions, medical device companies
Industry UsageInternship roles in wearable sensor development and testingDesign, develop, and improve biomedical devices and systems

The Phd Wearable Sensor Intern typically focuses on research and development of wearable sensor prototypes during an internship, often in a tech or startup environment. In contrast, a Phd Biomedical Engineer usually works on designing and improving medical devices in a more permanent role within healthcare or medical device companies. Both roles require advanced degrees but differ mainly in their scope, responsibilities, and work settings.

What types of projects might a PhD wearable sensor intern typically work on during their internship?

As a PhD Wearable Sensor Intern, you can expect to work on interdisciplinary projects that involve designing, prototyping, and testing advanced wearable sensor technologies. You may contribute to both hardware development and data analysis, collaborating closely with engineers, data scientists, and product teams to address real-world health or performance monitoring challenges. Interns often have the opportunity to publish research findings, present at internal meetings, and gain exposure to the product development lifecycle. This role provides valuable experience in both academic research and industry-driven innovation.

What are the key skills and qualifications needed to thrive as a PhD wearable sensor intern, and why are they important?

To thrive as a PhD Wearable Sensor Intern, you typically need a strong background in electrical engineering, biomedical engineering, or a related field, along with experience in sensor design and data analysis. Familiarity with programming languages (such as Python or MATLAB), signal processing tools, and hardware prototyping platforms is often required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate with multidisciplinary teams and articulate research findings. These skills are crucial for advancing sensor technologies and delivering impactful research outcomes in wearable health monitoring.

What does a PhD wearable sensor intern do?

A PhD Wearable Sensor Intern typically works on the research and development of advanced sensor technologies that can be integrated into wearable devices. Their responsibilities may include designing experiments, collecting and analyzing physiological data, developing algorithms to process sensor data, and collaborating with multidisciplinary teams. The internship is often aimed at leveraging the intern’s expertise to solve complex problems in wearable health monitoring, activity recognition, or user interaction. This hands-on experience helps bridge academic research with real-world applications in the wearable technology industry.
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Infographic showing various Phd Wearable Sensor Intern job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Senior Machine Learning Scientist (Sensor Intelligence)

WHOOP

Boston, MA • On-site

$99K - $135K/yr

Full-time

Re-posted 18 days ago

Job description

Job Summary:
WHOOP is a company focused on unlocking human performance and healthspan. They are seeking a Senior Machine Learning Scientist to join the Sensor Intelligence Group, where the role involves developing and scaling machine learning systems to enhance health features and provide personalized coaching to members.
Responsibilities:
• Research, architect, and develop ML systems for member coaching distributed between edge hardware and the cloud
• Collaborate with machine learning and edge ML engineers to translate prototypes into production
• Partner with product and user experience teams to ensure consistent user experience in bandwidth-constrained environments and to align with member impact and health insights goals
• Contribute to architectural decisions and mentor team members in ML best practices
Qualifications:
Required:
• Bachelor's degree in Computer Science, Electrical/Computer Engineering, Applied Mathematics, or a related field; Master’s or PhD degree preferred
• 5+ years of experience as a Machine Learning Scientist or similar role with a focus on applied research, preferably related to voice and/or text-based conversational systems
• Experience training, fine-tuning, and deploying state-of-the-art deep learning architectures to production
• Experience with time-series foundation models and self-supervised training approaches
• Experience pre-training and fine-tuning small language models and/or building natural language understanding (NLU) models than run on resource-constrained targets
• Experience with cloud platforms (AWS or GCP) and familiarity with modern MLOps practices such as CI/CD, model versioning, monitoring, and observability
• Strong communication and collaboration skills across cross-functional teams
• Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions
• 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.
Preferred:
• Master’s or PhD degree
Company:
WHOOP provides wearable fitness technology and a subscription platform that tracks physiological data for health and performance insights. Founded in 2012, the company is headquartered in Boston, USA, with a team of 501-1000 employees. The company is currently Late Stage.
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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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