Bosch Home Comfort USA · 11 hours ago
Healthcare Sensing and Machine Learning Intern
Pittsburgh, PA
Internship
Onsite
InternBosch Home Comfort USA is seeking a motivated student intern to join their research team in Pittsburgh. The role involves exploring intelligent sensing for digital health and contributing to the development of machine learning models for health sensor data analysis.
IndustrialManufacturing
Responsibilities
Assist in the research and development of multi-sensor data fusion techniques using data from ambient and wearable sensors, including time-series data, and other health-related signals
Support the design, training, and evaluation of multi-modal machine learning models for health monitoring, caregiver dashboards, and proactive diagnostic systems
Collaborate with cross-functional teams to help set up, prototype, and test new health monitoring solutions
Document and communicate research findings clearly, contributing to internal reports, presentations, and potential publications or patents
Stay up-to-date with emerging technologies in digital health and assist in exploring novel applications (e.g., elderly care technologies)
Qualification
Required
Currently pursuing a PhD in Computer Science, Electrical Engineering, Computer Engineering, Biomedical Engineering, Data Science, or a related technical field
Minimum GPA of 3.0
Broad knowledge of machine- and deep-learning algorithms and principles and state-of-the-art methods
Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow
Familiarity with sensors, IoT devices, or cyber-physical systems
Strong communication skills and an ability to work collaboratively in a research environment
Enthusiasm for learning and applying new technologies to solve real-world healthcare challenges
Preferred
Experience with health-related research or using raw sensor data (e.g., IMU, radar, ECG, EKG, etc.) in machine learning projects
Knowledge of digital signal processing principles and methods for biomedical signals
Interest or experience in digital health, aging-in-place technologies, or healthcare data analysis
Research experience on Hybrid Models and Neuro-Symbolic AI, including mechanistic modeling and machine learning, using parametric and nonparametric models, methods that compress structured symbolic knowledge to integrate with neural patterns (and reason using the integrated neural patterns)
Experience with additional programming languages (C, C++) or embedded systems for sensor setup
Publication record in top machine learning, signal processing, or digital health venues
Benefits
Hands-on experience with cutting-edge health-sensing and machine learning research.
Mentorship from experienced researchers in AI, IoT, and cyber-physical systems.
Opportunity to contribute to real-world projects with potential impact on products and processes.
Bosch dining areas
Business travel accident insurance
Associate discounts
Zero landfill standard
Emergency travel assistance services
Language class
Will preparation service
Employee Assistance Program (EAP)
Social and hobby clubs
Child care discounts
Smart work model
Parking & pool cars / e-Bikes
Wellness incentives
Company
Bosch Home Comfort USA
Bosch Home Comfort is a leading source of high-quality heating, cooling and hot water systems.
Founded in 1886
10001+ employees
H1B Sponsorship
Bosch Home Comfort USA 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 (3)
2024 (2)
2023 (7)
2022 (4)
2021 (2)
2020 (3)
Funding
Current Stage
Late StageLeadership Team
Ashley Jones
HR Partner
Cathy. Sue
Personnel Director and Partner, Bosch Group Branch
Recent News
2025-09-23
2024-11-27
Company data provided by crunchbase