About Glimpse
The last decade has been incredibly exciting for electric mobility. However, the electrification of the transportation industry has scaled while relying on an insufficient set of quality control tools. This has led to uncomfortably high rates of battery pack failure and multi-billion-dollar safety recalls. In our view, every headline of electric vehicles and e-bikes catching fire is a major impediment towards an all-electric future.
Founded in 2023 by ex-Tesla and Toyota employees, Glimpse is enabling battery quality at scale to support a safe and rapid transition to an electrified world. Visit glimp.se to learn more.
The Role
This internship is built for early undergraduate students who want real exposure to computer vision and imaging data. You don't need research experience or advanced coursework; just curiosity, motivation, and comfort learning by doing. Most of your time will be spent helping our engineers train and evaluate algorithms for analyzing battery cell CT scans, including working with datasets, labeling images, applying our algorithms to customer data, and learning how model performance is measured and improved. You'll also get hands-on experience operating our CT scanner — preparing samples, running scans, and building an understanding of how raw imaging data is captured before it ever reaches an algorithm.
You'll also complete a small, self-directed technical project aligned with your interests, with guidance from one of our Computer Vision Engineers and our CTO. And because we're a small, hands-on startup, you'll pitch in on occasional office and lab tasks with our Operations team; giving you a wider view of how hardware, software, and day-to-day operations come together inside an actively scaling company. It's a great role for someone exploring computer vision while getting a feel for what working in a fast-moving environment is really like.
Relevant skills
Interest in computer vision, machine learning, or data work — no prior research or engineering experience needed
Comfortable operating lab equipment, including hands-on use of a CT scanner
Organized, dependable, and excited to pitch in wherever needed
Most importantly: curiosity, enthusiasm, and a willingness to learn
Our culture and values
A working draft of our culture and values aspirations can be found here.
Requirements
Currently pursuing a bachelor’s degree in CS, Engineering, Math, Physics, or a related field
Interest in computer vision, machine learning, or data work
Willingness to work on-site in Somerville at least 3 days/week
Organized, reliable, and eager to learn
Comfortable helping with occasional office/lab tasks
Preference for a minimum availability of 5 months
This role requires the ability to access technical data controlled under U.S. export control laws (ITAR/EAR). Candidates must be a “U.S. person” as defined by 22 CFR §120.15 or be eligible to receive such controlled technical data.
Location
We’re headquartered in Greentown Labs in Somerville, MA. As an early-stage startup, we have a strong preference for being in the office more often than not. That said, this role will accommodate up to 40% remote work.
Interview process
Phone Screen (20-30 minutes)
Onsite Interview (1 hour)
1 reference check
We offer
Competitive stipend and flexible work arrangements.
Mentorship from industry experts and opportunities for professional growth.
Exposure to a high-growth startup environment
A vibrant, inclusive, and supportive work culture.
Top Skills
What We Do
Enabling battery quality at scale
