Baseten Labs | San Francisco, New York |ONSITE, REMOTE, HYBRID | VISA SPONSORSHIP | RELOCATION SUPPORT We are Baseten, the team that powers mission-critical inference for the world’s most dynamic AI companies such as Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. We’re growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock and Conviction.

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.

Apply Here: https://jobs.ashbyhq.com/baseten?utm_source=gkzEP29VD4 or email Jason.dupree@baseten.co

We are hiring for multiple core roles:

1. Solution Architect: You will partner closely with sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnerships with Sales and Engineering

2. AI Solutions Engineer/Forward Deployed Engineer: You will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment. To be clear, this is a technical engineering role with hands-on coding and software dev that also includes aspects of product management, technical customer success and pre-sales solutions engineering mixed in. We’re language agnostic but strong Python and ML experience is a big plus.

3. Forward Deployed SRE: You will serve as the primary post-sales technical owner for our most strategic customers, ensuring smooth deployment, performance, and reliability of ML workloads in production. The role blends hands-on debugging, infrastructure expertise, AI model performance, and executive level customer facing ownership. We’re looking for deep Kubernetes and container orchestration experience along with a polished communication and executive level presence.

The Offer:

Compensation: Very competitive, we’re looking for folks with a breadth of experience

Equity: This is an opportunity to participate in the ownership of a fast-growing AI Infrastructure platform

Location: We are based out of San Francisco with offices in New York. We are also open to remote employees for these roles.

Process: If you’re interested, please apply here https://jobs.ashbyhq.com/baseten?utm_source=gkzEP29VD4 or email me direct at Jason.dupree@baseten.co

Prior Labs | Berlin / Freiburg / NYC | ONSITE & REMOTE (EU) | Full-time

Tables power every clinical trial, financial model, and scientific experiment, but deep learning has mostly ignored them. No natural sequence, no spatial structure, no shared vocabulary across datasets. LLM architectures don't transfer. We built TabPFN, the first foundation model that actually understands tabular data (published in Nature, 3M+ downloads, new SOTA for tabular ML). The hardest problems are still open.

The model is half the product. The other half - training infrastructure, real-time serving, developer platform, reliability - is what turns a research breakthrough into something enterprises trust in production. We're hiring across both.

ML Engineer, Cloud Platform — Design and scale the core infrastructure for serving and finetuning foundation models in production. Early enough that you're making the architecture decisions, not inheriting them.

ML Engineer, Training Infrastructure — Own GPU infrastructure, distributed training performance, and the developer productivity layer (CI, experiment tracking, model registry) that keeps research moving fast.

Full Stack Engineer, ML Platform — Build the product that puts tabular foundation models in users' hands, from data upload through inference and results. You'll work across frontend, backend, and directly with the research team to turn new model capabilities into production features.

Research Engineer, Foundation Model — Design experiments, run ablations, build training infrastructure, contribute to papers. Research engineers here aren't supporting scientists — they are the science team.

Also hiring: Research Scientist, Applied Scientist, Forward Deployed ML Engineer, Developer Relations Engineer, AE, BDR.

20-person team selected from thousands applicants. Backgrounds from Jane Street, Google, CERN, G-Research. Led by Frank Hutter, advised by Yann LeCun and Bernhard Schölkopf. With backing from Balderton, XTX Ventures and leaders at Hugging Face, DeepMind, and Black Forest Labs. Comp competitive with top AI labs, meaningful equity.

Apply at: https://jobs.priorlabs.ai