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San Francisco, California, United States · Hybrid
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Compresr
San Francisco, California, United States • Hybrid
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Build and own the end-to-end development of a state-of-the-art context compression layer for LLM pipelines. Scale AI infrastructure products within a high-paced startup environment operating like a research lab.
Requires strong backend fundamentals with experience in Python, concurrency, and distributed systems. Ability to work across the full stack and proficiency with tools like Claude Code is expected.
Type: Full-time permanent contract or an Internship with a potential follow-up offer
Location: San Francisco or remote with future relocation to San Francisco (sponsored)
Start: ASAP
We're building state-of-the-art context compression. Our mission is to become the "Cloudflare for LLMs" — a compression layer embedded into most LLM pipelines by default.
We're a team of ex-EPFL MSc/PhDs from dlab. We started by publishing papers, then got into YC and started making money helping companies cut their LLM costs.
We run the business like a research lab: form hypotheses, kill the ones that don't work, double down on the ones that do.
A cracked full-stack engineer who enjoys a high-paced startup environment, takes pride in what they build and owns it end to end.
Python/basic ML Ops skills. Experience in scaling AI infra products is a plus.
Proactive, strong communicator with fast response time, team player
Strong backend engineering fundamentals
Experience with concurrency and distributed systems
Ability to work across systems (Python + light frontend)
Excellent Claude Code (or similar) user
Open-source contributions
Startup experience
OAuth / API auth flows
Backend: Python, FastAPI, PostgreSQL (Supabase), Redis, AWS
Frontend: Next.js, React, TypeScript
Tools: GitHub, Docker, Sentry, GitHub Actions
1. Intro call (20 min)
2. Practical technical interview (60 min)
3. Culture interview (30 min)
Based on 1008 listings with disclosed salaries, most science & research jobs in San Francisco, CA pay between $90k–$295k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 1,407 open science & research positions in San Francisco, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include UCSF Department of Anesthesia and Perioperative Care, OpenAI, Anthropic, Sutter Health, Astranis Space Technologies, among others. Browse the listings above to see every active employer.
Yes — 571 of the 1407 open science & research positions offer remote or hybrid work (126 remote, 445 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
