Research Scientist/Research Engineer
Read straight from Transluce's careers page, verified 20h ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
Salary$250k – $500k
LocationSan Francisco, United States
Work modeon-site
Typefull-time
SenioritySenior
DepartmentEngineering & Research
Company size51–200 people
PostedJan 16, 2025 · 1y ago
Verified live20h ago
May no longer be actively hiring
Posted by the company on Jan 16, 202564% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
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 open to sponsoring international visas
Skills
Python
RL
GPUs
Benefits
Remote stipend
Salary range: $250,000 - $500,000/year + benefits
About the company
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
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.
Responsibilities
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.