Job description

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 meticulousness • Keep 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.

Requirements

Must-haves

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
Reliable and trustworthy results: meticulous, good experimental design, epistemic self-awareness and transparency
Prioritization: be scrappy while balancing appropriately with meticulousness • Keep 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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmml

Platform: gem
Effort: medium