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Open nowPosted 646 days ago

Research Scientist/Research Engineer

Transluce12 open roles

Pay
$250,000 – $500,000 a year
Where
San Francisco
Work mode
On site
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Your applicationOpen nowResearch Scientist/Research EngineerTransluce · San Francisco

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 646 days ago

The posting

Salary range: $250,000 - $500,000/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 strong research scientists and research engineers to accelerate progress on our core LLM-based AI technology, spanning RL, interpretability, and AI agents. As an early member of a highly collaborative team, you will learn and grow quickly, creating technology at the frontier of AI research and with high direct impact.

Core responsibility: Drive results on one of our core research threads; proactively identify and execute on tactical paths forward within a broader team strategy. This includes: Prototyping to reach signs of life on an initial idea Navigating the design space of system architecture and other hyperparameters Designing and implementing efficient and reliable systems (training and inference pipelines) For more senior candidates: direction setting on code code architecture, planning and leading projects

Qualities of a strong candidate: Reliable and trustworthy results: meticulous, good experimental design, epistemic self-awareness and transparency Prioritization: be scrappy while balancing appropriately with meticulousnessKeep low-level planning connected to high-level goals

Generative: come up with original, productive ideas for unblocking progress Deep domain knowledge in some area of ML research, such as interpretability, RL, basic systems performance / GPUs Strong programming ability, including navigating trade-offs between prototyping speed and maintainability Strong communication skills, low ego, openness to giving and receiving feedback High self-bar for final results Ability to learn quickly from teammates and mentors

We are located in San Francisco and enthusiastic to work together in-person. We are open to sponsoring international visas.

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