📍{NYC, SFO, YYZ}
🔗 https://beirami.github.io/
Send an email to [email protected] with the subject “Fidian MTS Jan 2026” and attach your resume. In the email body, please include two paragraphs:
- Explain what in this space excites you the most and what you would like to work on.
- Highlight an achievement you are most proud of.
Send an email to [email protected] with the subject “Fidian MTS Jan 2026” and attach your resume. In the email body, please include two paragraphs:
- Explain what in this space excites you the most and what you would like to work on.
- Highlight an achievement you are most proud of.
- You will be solving frontier problems in building robust AI systems, defining the standard for how the next generation of agents are built.
- Work directly with a world-class team with extensive experience building frontier models and scalable AI systems.
- You will be solving frontier problems in building robust AI systems, defining the standard for how the next generation of agents are built.
- Work directly with a world-class team with extensive experience building frontier models and scalable AI systems.
- 3+ years of research/eng experience training LLMs, agents, and RL.
- Ability to read, synthesize, and implement state-of-the-art research artifacts.
- Experience training and inference from the frontier model landscape.
- Comfortable working with large datasets.
- 3+ years of research/eng experience training LLMs, agents, and RL.
- Ability to read, synthesize, and implement state-of-the-art research artifacts.
- Experience training and inference from the frontier model landscape.
- Comfortable working with large datasets.
- Advance the state-of-the-art by analyzing the latest research on agentic AI, coding agents, self-improving systems, memory architectures, and agent evaluation, and translating them into production code.
- Build an agentic system that analyzes and writes production codebases for agents.
- Advance the state-of-the-art by analyzing the latest research on agentic AI, coding agents, self-improving systems, memory architectures, and agent evaluation, and translating them into production code.
- Build an agentic system that analyzes and writes production codebases for agents.
No entropy was revealed by the decision though 😜
No entropy was revealed by the decision though 😜
p.s. also on the UniReps panel Saturday on the broken state of reviewing & publishing.
p.s. also on the UniReps panel Saturday on the broken state of reviewing & publishing.