Research Scientist - Agentic LLMs & Foundations

Ifm Us; Sunnyvale (CA); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and vis

Bonus

401K Plan

Generous paid time off

Parental Leave

Employee Assistance Program

Life insurance and disability

Job summary

Institute of Foundation Models in Sunnyvale, CA, invites researchers and engineers to tackle training advanced agentic language models using reasoning and tool use. You'll develop datasets, evaluations, RL infrastructure, and scalable systems across research‑engineering spectrum.

We value depth in algorithms, data, systems, or evals; visa sponsorship available; comprehensive benefits include medical, dental, vision, PTO, parental leave, and life insurance.

Qualifications

• 2 years of experience in LLM training/fine-tuning, evaluations, reinforcement learning, LLM inference, distributed machine learning systems
• Python and PyTorch development experience
• Experience in using LLM agents for your personal or professional use
• Experience in designing and implementing algorithms from scratch (for algorithms focus)
• Experience in dataset curation and generation (for data focus)
• Experience in building or contributing to training/serving infrastructure (for systems focus)
• Experience in designing and deep diving into evaluations (for evals focus)

Responsibilities

• Propose, prototype, and scale algorithms/systems to support agentic learning
• Develop new paradigms for agentic behavior that go beyond current practices
• Contribute to technical reports, research publications, and open-source software
• Collaborate with other teams to produce state-of-the-art foundation models

Skills

Python

PyTorch

LLM reasoning

Reinforcement Learning

Distributed ML

Education

BS/MS/PhD in Computer Science or ML

Tools

PyTorch

Ray

CUDA C++

Triton

Job description

Institute of Foundation Models in Sunnyvale, CA, invites researchers and engineers to tackle training advanced agentic language models using reasoning and tool use. You'll develop datasets, evaluations, RL infrastructure, and scalable systems across research‑engineering spectrum.

We value depth in algorithms, data, systems, or evals; visa sponsorship available; comprehensive benefits include medical, dental, vision, PTO, parental leave, and life insurance.