Research Scientist/Research Engineer

Transluce

$250K — $500K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in ML research or engineering
  • Strong programming skills with focus on rapid prototyping
  • Deep understanding of machine learning domains like RL or interpretability
  • Ability to design and implement reliable systems and pipelines
  • Excellent communication skills and team collaboration
  • High standards for experimental design and results
  • Strong capability to learn quickly from peers and mentors

Responsibilities

  • Drive results on core research initiatives
  • Prototype initial ideas to test feasibility
  • Navigate system architecture design and hyperparameters
  • Develop efficient training and inference systems
  • Set direction for code architecture and lead projects for senior candidates

Benefits

  • Visa sponsorship for international candidates
  • Collaborative work environment
  • Opportunity to work at the forefront of AI research
  • Professional growth and learning opportunities
  • In-person team culture in San Francisco
Full Job Description
Salary range: $250,000 - $500,000/year + benefits

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.

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