# Staff Machine Learning Research Scientist/ Engineer, Agents

**Company:** [Scale AI](https://hotfix.jobs/companies/scale-ai)
**Location:** San Francisco, CA, Seattle, WA, New York, NY
**Role:** AI Research
**Salary:** $275k – $350k/yr
**Skills:** PyTorch, JAX, TensorFlow, LLMs, AI Agents, LangGraph, Openhands, Swarm, AWS, GCP
**Posted:** 2026-02-12

> Conducts cutting-edge research on data for state-of-the-art AI agents like browser and SWE agents, develops prototypes using LLMs and frameworks like PyTorch/JAX, and publishes in top ML venues. Requires 3+ years ML experience and strong cross-functional communication.

## Job Description

## About This Role

This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires expertise in LLM agents and planning algorithms, creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions.

## Ideally you’d have:
- Practical experience working with LLMs, with proficiency in frameworks like **Pytorch**, **Jax**, or **Tensorflow**. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes.
- A track record of published research in top ML venues (e.g., **ACL**, **EMNLP**, **NAACL**, **NeurIPS**, **ICML**, **ICLR**, **COLM**, etc.)
- At least **three years** of experience addressing sophisticated ML problems, either in a research setting or product development.
- Strong written and verbal communication skills and the ability to operate cross-functionally.

## Nice to have:
- Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using **Pytorch**/**Jax**.
- Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents.
- Hands-on experience with agent frameworks such as **OpenHands**, **Swarm**, **LangGraph**, etc.
- Familiarity with agentic reasoning methods such as **STaR** and **PLANSEARCH**.
- Experience working with cloud technology stack (eg. **AWS** or **GCP**) and developing machine learning models in a cloud environment.

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