Hiring: Research Engineer Company: Tessera Labs Location: San Jose, CA Job Posted Time: 2026-09-12 12:54:07 Target Skills & Keywords : Fine-tuning, PyTorch, Python, Reinforcement Learning, SAP, Salesforce, Snowflake, Triton, Workday, vLLM About the job Required Skills: •Building this platform has two halves — the systems that surround the model, and the model itself. This role owns the second, at scale. •One property makes this an unusually good RL setting: much of our task space is verifiable •. A transformation either produces a system that builds, passes the customer's regression suite, and behaves equivalently, or it doesn't. That's a real reward signal rather than a preference model, and building the environments that make it cheap and trustworthy is a large part of this job. •We post-train open-weight models on rented clusters. We're compute-constrained relative to a frontier lab and we buy more when a result justifies it — worth knowing up front. •Build and scale the post-training stack: SFT, preference optimization, and reinforcement learning for long-horizon tool use, transformation, and reconciliation over enterprise systems. RL is the center of gravity of this role, not a side interest. •Build the memory and context machinery that long-horizon agents run on: what an agent retains across a forty-step run, how it's structured, retrieved, compacted, and revised — and how you train a model to use it well rather than bolting it on at inference. •Build the representation layer that agents reason over — ontologies and knowledge graphs derived from real enterprise systems — and the pipelines that construct, validate, and keep them current. •Design and implement data generation and curation pipelines — synthetic landscapes, transformation traces, tool-call trajectories, curriculum infrastructure — that teach models to operate systems no public model has seen. Compensation: •$200,000 - $300,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!