
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…
Core product: Platform for deploying, serving, fine-tuning, and managing ML models with autoscaling and GPU support
Deployment modes: Managed cloud and self-hosted stack for private VPCs
Founded: Late 2019
Recent funding: $300M Series E at $5B valuation (reported)
Employees: 233
Productionizing ML models (inference and training) and inference infrastructure
2019
Software Development
$20M
Reported $20M round announced April 26, 2022
$75M
Reported $75M Series C announced Feb 19, 2025
$150M
Reported $150M Series D led by BOND
$300M
Reported $300M Series E at $5B valuation
“Investors include IVP, CapitalG, BOND, Greylock, Battery Ventures, Altimeter, and others”
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About Baseten Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.
We are looking for an engineer with strong experience in machine learning and solid foundations in maths and computer science to join our growing Post-Training team at Baseten.
Custom models are instrumental to the success of Baseten customers. By inference volume, the overwhelming majority of traffic at Baseten is to and from models that have been post-trained in some way, whether that be through reinforcement learning, supervised finetuning, a recent technique from the literature, or an in-house research technique from Baseten. The Post-Training team is responsible for the success of our customers’ post-trained models, and we employ a wide array of techniques to produce models that are more efficient and higher quality than even the biggest closed source models for the customer’s specific needs.
Your role as a research engineer is to build the in-house tooling to support all of this. We care about training a wide spectrum of different model architectures with a variety of techniques efficiently and at scale. At times this involves zooming deep into a particular technical topic, but more often if involves working across the stack as a whole - systems-level concepts like Kubernetes, cgroups, storage systems, and networking topologies, as well as PyTorch distributed tensor computation, and GPU kernels.
RECENT RESEARCH
We don’t have a rigid set of skills, but here’s some of what we’re looking for:
Benefits
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable). Compensation Range: $200K - $275K
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