Real AI work
Production ML, LLM pipelines, and computer vision. Not dashboards and CRUD.
Small teams, full ownership
Pods of 3-5 engineers own projects end-to-end, from architecture to deployment.
Learn by shipping
Weekly releases, direct client contact, and exposure to problems across industries.
Remote-first, async-friendly
Work from anywhere. Meetings are short, documentation is thorough, timezones are respected.
Our Hiring Process
Application
Submit your resume and tell us why you're excited about the role
Phone Screening
Chat with our recruiter about your background and experience (20 mins)
Technical/Skills Assessment
Show us your skills with a practical assessment or portfolio review
Team Interview
Meet with the team you'll be working with and learn about our culture
Leadership Discussion
Connect with leadership to discuss growth opportunities and expectations
Offer
We extend a competitive offer and celebrate your new beginning
The Human Side of AI
Explore through the Tensor Lens.
Frequently Asked Questions
Everything you need to know about working at TensorLabs.
Yes. Courses, certs, conferences. If it makes you better at what you do, we'll back it. Just don't ask us to fund a motivational retreat.
We encourage it. If you've got something worth sharing, we'll give you the time and platform. Our Medium is open for you
Yes, but not the corporate kind. Regular check-ins, honest feedback, and actual conversations about where you're headed. No surprise ratings.
Small team energy. Everyone owns their work, nobody hides behind a title, and you'll know the founders by name. We're serious about work and not serious about everything else.
Nope. If you can build, think critically, and communicate well, we want to talk. Degrees are cool. Skills are cooler.
Yes. We’re comfortable working asynchronously across time zones with clear documentation and updates.
We primarily build custom solutions tailored to your business needs, while integrating proven tools and frameworks when appropriate.