AI Research Scientist (Seattle) at TTN Talent
About the role
Do you have hands-on experience in reinforcement learning, post-training or frontier model training? Have you worked as an Applied Researcher, Research Scientist or Research Lead within a strong AI research environment? Have you trained models using approaches such as RL, preference optimisation or SFT and analysed the signals that actually improve capability? Have you published notable research, released models, or delivered work that performed strongly on recognised benchmarks? Can you operat…
Interview process at TTN Talent
General interview process (this company's specific loop isn't published - reach out if you have insider info).
- Recruiter phone screen - typically 20-40 min
- Technical screen - 1 coding problem or take-home; format varies by company
- Onsite / virtual loop - typically 4-6 rounds over 2-3 weeks; exact split of coding, systems design, and behavioral varies by role and location
Platforms used: unknown — MiPrep tested compatible with major platforms
How to prepare
MiPrep helps you rehearse the specific cadence and question types TTN Talent interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.