At Baseten we provide all the infrastructure you need to deploy and serve ML models performantly, scalably, and cost-efficiently.
Get started in minutes, and avoid getting tangled in complex…
At Baseten we provide all the infrastructure you need to deploy and serve ML models performantly, scalably, and cost-efficiently.
Get started in minutes, and avoid getting tangled in complex…
Remote-first work environment. The Baseten team is welcome to work from wherever they want; fully remote, in our San Francisco office, or a mix of both. Today, our team (including our founding team) is spread across the United States, Canada, and Armenia. We provide a $1,000 stipend for you to make your home-office comfortable and productive
Regular in-person team summits. We get together as a team three times a year to plan, workshop, and most importantly, get to know each other better
Unlimited PTO. 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
Full healthcare coverage. Medical, dental and vision insurance for you and your family
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As a Tech Lead Manager of the Training team at Baseten, you’ll lead a team of engineers building the core systems that power large-scale training and fine-tuning of foundation models
Your team will be responsible for designing scalable, reliable, and efficient infrastructure - covering distributed training frameworks, GPU scheduling, and training pipelines—enabling both Baseten and our customers to train and adapt models at scale
You’ll balance hands-on technical contributions with people management, setting the technical direction while fostering the growth and success of your team
You’ll also play a key role in defining Baseten’s platform roadmap by identifying common infrastructure needs and turning them into reusable, self-serve capabilities
Lead, mentor, and grow a team of engineers building Baseten’s training infrastructure
Define and drive the technical strategy for large-scale training systems, with a focus on scalability, reliability, and efficiency
Architect and optimize distributed training pipelines across heterogeneous GPU/accelerator environments
Balance hands-on contributions (system design, code reviews, prototyping) with people leadership and career development
Establish best practices for training workflows, distributed systems design, and high-performance model evaluation
Collaborate with Product and Platform Engineering to translate customer and internal needs into reusable infrastructure and APIs
Develop processes that ensure consistent, reliable, and on-time delivery of high-quality systems
Stay ahead of the curve on advancements in training efficiency (FSDP, ZeRO, parameter-efficient training, hardware-aware scheduling) and bring them into production
Paid parental leave. 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
Learning and development budget. We encourage you to take classes, attend conferences, and invest in your craft and we’ll cover expenses to make it happen
