We’re building towards a future where every company can unlock the power of machine learning for faster, smarter decision-making. We have exciting, ambitious work ahead of us and want your help.
Come build with us
We’re building towards a future where every company can unlock the power of machine learning for faster, smarter decision-making.
Life at Baseten
We’re a remote-first team of thoughtful and kind people. We're internationally distributed and currently have teammates in five time zones, across the United States, Canada, and Armenia. A lot of our work happens together on Zoom calls and async using tools like Linear, Slack, Figma, and Coda. We have a small HQ in San Francisco and get together a few times a year to plan, workshop, and get-to-know each other better.
Product Design at Baseten
Engineering at Baseten
We aim to provide 90th percentile (or better) salaries and equity grants for every team member commensurate with their experience.
The Baseten team is welcome to work from wherever they want; fully remote, in our San Francisco office, or a mix of both. We provide a $1,000 stipend for you to make your home office comfortable and productive.
We get together as a team three times a year to plan, workshop, and most importantly, get to know each other better.
We ask that everyone take at least 4 weeks of vacation. And we have a company-wide break between Christmas and New Year's Day.
Medical, dental and vision insurance for you and your family.
16-weeks fully paid parental leave (adoptive and non-birth parents included) and flexibility with schedules while returning to work.
Company-sponsored 401(k) for you to contribute to.
We encourage you to take classes, attend conferences, and invest in your craft and we’ll cover expenses to make it happen.
Join us and shape the future of machine learning
Lead ML engineer
Build the infrastructure and services for our users to deploy, serve, and monitor their ML models.
Lead infrastructure engineer
Set the direction for Baseten’s cloud infrastructure, which is what our users rely on when building machine learning-powered applications.