--- title: 'AI Systems Engineer at Transluce' canonical: 'https://feeny.ai/job/ai-systems-engineer-transluce-san-francisco-21qzm98xjn4t' type: 'job' last_seen: '2026-09-09' --- # AI Systems Engineer at Transluce - **Company:** Transluce - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2025-04-16 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.gem.com/transluce/am9icG9zdDqjWLCthyCMEiHEUWYXkuWR ## Job description Salary range: $350,000 - $600,000/year + benefits Description: Transluce is a fast-moving research lab building the public tech stack for understanding and debugging AI systems. We build world-class, AI-backed analysis tools and use these to set industry standards for evaluation. We are a non-profit with a mission to steer the development of AI for the public good. About the role: We are looking for an exceptional AI systems engineer to lead the design and development of our core ML stack, building systems that can scale to thousands of GPUs and performantly query trillion-token databases. As an early member of a highly collaborative team, you will be free to innovate and move fast, building high-impact systems from the ground up. As part of a mission-focused non-profit, your work will have high direct impact (e.g. used by governments to inform AI policy) and cross-organisational reach (open-source tools the entire community can build on). Core responsibilities: - Set overall code culture and tooling for a fast-growing org - Help to solve our core technical challenges across verticals. Examples include:- [Docent](https://transluce.org/introducing-docent):- High-concurrency container-based evals with quick ability to iterate on interventions to agentic trajectories - Deterministic sandbox execution of code that can efficiently restore state from checkpoints - [Interpretability](https://transluce.org/observability-interface):- Inference stacks that are as performant as vLLM but flexible enough to allow complex model introspection and intervention, steering, configurable sampling, etc., and that can scale to 400B+ parameter models - [Behavior elicitation](https://transluce.org/automated-elicitation):- Distributed RL training and roll-outs allowing thousands of concurrent rollouts across machines - Build great internal tools to speed up the team - Help tone-set in the organization around best practices for building and path-set on what infra we should build - Help other team members think through infra challenges Qualities of a strong candidate: - Exceptional programmer fluent in Python - Bare metal optimization: know GPUs, other accelerators in and out (low-level performance + optimization + parallel programming) - Experience engineering at scale (distributed systems, reliability, architecture design) - Leader on global code quality and health (designing good primitives, managing complexity and scale) - Bonus: can set up LLM pipelines, e.g. multiple specialized LLMs interacting with each other in a performant and reliable way - Bonus: experience with open-source community management We are located in San Francisco and enthusiastic to work together in-person. We are open to sponsoring international visas. ## About Transluce ## Company Overview - **One-liner**: Transluce is a nonprofit research lab building the open-source technology stack for scalable, public oversight of AI systems. - **Entity Type**: Nonprofit (Private, Independent Research Lab) - **Headquarters**: San Francisco, California, United States - **Founded**: 2024 - **Founders**: Jacob Steinhardt (Co-founder & CEO), Sarah Schwettmann (Co-founder) ## Core Business - **Primary industry**: AI Safety Research / Interpretability - **Target customers**: Frontier AI labs, governments, and the broader public; their tools are designed for use by independent evaluators, policymakers, and researchers. - **Mission**: To build the infrastructure for understanding AI, steering its development in the public interest, and enabling a public science of model behavior. ## Products & Services - **Activation Oracles**: A scalable, AI-driven interpretability tool for understanding model behavior, shown to improve with model size, data quality, and data volume. Research paper published on scaling to trillion-parameter models. [transluce.org](https://transluce.org/) - **Mental Health Evaluation**: The most expansive independent evaluation to date of how leading AI models respond to users in mental health crises, published in August 2026. [transluce.org](https://transluce.org/) - **Oversight Assistant Platform**: An end-to-end system for AI oversight, designed to help researchers and evaluators analyze model behavior at scale. [transluce.org](https://transluce.org/) ## Market Standing - **Valuation/Market Cap**: Not applicable (nonprofit organization). - **Key Metric**: Team size of 22 employees, with **109.1% yearly headcount growth** (LinkedIn). Funded by philanthropic donors; specific funding amounts are not publicly disclosed. - **Notable Investors/Partners**: - **Mike McCormick**: First Funder and Board Member [linkedin.com](https://linkedin.com/company/transluce) - **Common Sense Media**: Independent technical research partner for the Youth AI Safety Institute (announced May 2026) [linkedin.com](https://linkedin.com/company/transluce) - **Growth Signals**: - Expanding from 20 employees to 40+ in the next year (July 2026 hiring announcement) [linkedin.com](https://linkedin.com/company/transluce) - Published two major research papers in August 2026 (on Scaling Activation Oracles and Scaling Laws for Exact String Elicitation) [transluce.org](https://transluce.org/) - Recruiting for high-level roles including VP of Engineering, signaling rapid scaling [builtin.com](https://builtin.com/company/transluce) ## Competitive Advantages - **Independence & Public Interest Mandate**: Operates as a truly independent, nonprofit lab with no commercial conflicts — they have a published Independence and Transparency Policy and a Responsible Disclosure Policy [transluce.org](https://transluce.org/about). - **Open Source & Scalable Tech**: All tools are built open-source to allow public vetting and improve reliability, a key differentiator from proprietary black-box audits. - **Talent Magnet**: Attracts alumni from top AI labs and organizations including OpenAI, Google DeepMind, and Carnegie Mellon University. Their alumni go on to roles at Google DeepMind, Institute for AI Policy and Strategy, and other key institutions [linkedin.com](https://linkedin.com/company/transluce). ## Strategic Focus - **Scaling Interpretability**: Training larger models and developing tools that work on trillion-parameter systems [transluce.org](https://transluce.org/). - **Public Science of AI**: Building an open scientific ecosystem where evaluations and methods are publicly vetted and reproducible. - **Government & Industry Partnerships**: Engaging with frontier AI labs and governments to ensure internal assessments match publicly vetted standards. - **Youth AI Safety**: Research partnership with Common Sense Media for the Youth AI Safety Institute, focusing on how AI models behave in mental health contexts [linkedin.com](https://linkedin.com/company/transluce). ## Why Work Here - **Mission-Driven Work**: Directly contribute to AI safety and public understanding of a technology with extraordinary societal consequences. - **Growth Trajectory**: Explosive headcount growth (109% YoY) with aggressive hiring plans (doubling team to 40+ in the next year) means significant impact and career acceleration for early employees [linkedin.com](https://linkedin.com/company/transluce). - **Workspace**: In-office at HQ in San Francisco, California (1301 Sansome St). Employees work from a physical office with a strong emphasis on in-person collaboration [builtin.com](https://builtin.com/company/transluce). - **Culture**: Described as a place where you "run the systems that let the technical team focus on AI safety research" and create "clarity out of ambiguity" — suited for motivated generalists and technical experts alike [linkedin.com](https://linkedin.com/company/transluce). - **Open Roles** (as of Aug/Sep 2026): VP of Engineering, AI Behavior Engineer, Operations Generalist, Research Scientist/Research Engineer, Full-Stack Product Engineer, AI Systems Engineer, Research Engineer - Scalable Interpretability [builtin.com](https://builtin.com/company/transluce). ## Sources 1. [transluce.org](https://transluce.org/) 2. [transluce.org/about](https://transluce.org/about) 3. [linkedin.com/company/transluce](https://linkedin.com/company/transluce) 4. [builtin.com/company/transluce](https://builtin.com/company/transluce) 5. [jobs.gem.com/transluce](https://jobs.gem.com/transluce) ## Other roles at Transluce - [Business Operations Manager](https://feeny.ai/job/business-operations-manager-transluce-san-francisco-0wqvya5tm7cv) — San Francisco, CA - [People Operations Manager](https://feeny.ai/job/people-operations-manager-transluce-san-francisco-rerrmd8ypmpq) — San Francisco, CA - [AI Behavior Researcher - Agent Alignment](https://feeny.ai/job/ai-behavior-researcher-agent-alignment-transluce-san-francisco-71m857j6ac40) — San Francisco, CA - [Research Engineer - Oversight Foundations](https://feeny.ai/job/research-engineer-oversight-foundations-transluce-san-francisco-tggwq73gfg0s) — San Francisco, CA - [VP of Engineering](https://feeny.ai/job/vp-of-engineering-transluce-san-francisco-m3yzxzmhekj5) — San Francisco, CA - [AI Behavior Engineer](https://feeny.ai/job/ai-behavior-engineer-transluce-san-francisco-mr9gkhnfhpyr) — San Francisco, CA - [AI Behavior Researcher - Human Impacts](https://feeny.ai/job/ai-behavior-researcher-human-impacts-transluce-san-francisco-07997m7d0kkp) — San Francisco, CA - [Governance & Policy Fellow](https://feeny.ai/job/governance-policy-fellow-transluce-san-francisco-dejeq9hbc6sc) — San Francisco, CA - [Full-Stack Product Engineer](https://feeny.ai/job/full-stack-product-engineer-transluce-san-francisco-akrtqqxqthmn) — San Francisco, CA - [Research Scientist/Research Engineer](https://feeny.ai/job/research-scientist-research-engineer-transluce-san-francisco-afzb68nfx83b) — San Francisco, CA