# Member of Technical Staff, Post-Training & Applied Research at SF Tensor

- Company: SF Tensor
- What the company does: Train the models only you can build. SF Tensor provides one optimized, cross-vendor training stack for enterprise post-training and frontier pre-training. Backed by Y Combinator.
- Company website: https://sf-tensor.com
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco
- Work setup: On-site
- Pay: $275K to $315K base salary per year (USD)
- Posted: 2026-08-29
- Apply by: 2026-10-13
- Apply: https://jobs.ashbyhq.com/sf-tensor/9232c990-4435-45f9-8002-721f52aab5be
- Page: https://www.1752.vc/careers/jobs/sf-tensor-member-of-technical-staff-post-training-and-applied-research/

## About the role

We build the fastest GPU compiler in the world. Most compilers have to preserve correctness at every transform, constraining how far they can search, while we prove correctness at the end instead, allowing us to search a far wider space, with agents, with RL, with anything that works and still guarantee the result. It's why we hold #1 on NVIDIA's own kernel benchmark across hundreds of production kernels.

## What they're looking for

- Someone who's shipped post-trained models into production and can talk honestly about the tradeoffs
- Someone with hands-on depth across SFT and RL (DPO, GRPO, PPO or similar)
- Someone who can judge evaluation honestly: what to measure, what a result means and when a number is lying to you
- Someone who's comfortable owning data: curation, filtering, labeling workflows and synthetic generation
- Someone proficient in PyTorch or JAX
- Someone willing to sit with customers' domain experts to turn their intuition into a reward function

Tags: Research