Technical Staff, Data - NYC

About Reflection AI

At Reflection AI, we are building state-of-the-art intelligent agents, scalable training systems, and research-first principles.

Our team includes researchers and engineers who have been at the frontier of model development—spanning reinforcement learning, sequence modeling, and large-scale distributed training. We work on foundational challenges in autonomy, planning, and generalization.

This is a rare opportunity to shape next-generation systems through rigorous research, thoughtful engineering, and deep collaboration.

As a member of the Data Team at Reflection, you will play a pivotal role in our data strategy for training and evaluations. This is an interdisciplinary role that primarily requires engineering, research, and communication skills, along with a sharp attention to detail and willingness to “roll up your sleeves” and look at the data.

What you will do

• Conduct cutting-edge research in:

  • Reinforcement learning for reasoning and planning (long-horizon, hierarchical control)

  • Agentic capabilities and generalization
    

• Lead Data and RL environment initiatives:

  • Curate dataset mixtures and design learning curricula (exploration, rewards, scaling laws)

  • Implement ML data pipelines for large-scale RL training

  • Scrape, collect and curate training and evaluation data

  • Build and maintain custom RL environments and evaluation benchmarks

• Collaborate with a world-class research team to publish and open-source impactful work
  

• Keep up with the latest advancements in agentic and LLM-based research, and bring relevant ideas into our systems
  

Qualifications

• Strong background in LLMs and/or reinforcement learning

• Demonstrated ability to carry out end-to-end ML research (problem formulation, experimentation, analysis)

• Experience training large-scale models or working with distributed training infrastructure

• A publication record in top ML conferences (NeurIPS, ICML, ICLR, etc.) is a strong plus

• Familiarity with RL environments is a plus
  

What We Offer:

• The opportunity to work at the forefront of AI research and data collection for training cutting-edge models.

• Collaboration with a team of world-class researchers and engineers from top AI labs and companies.

• Competitive compensation and benefits, with opportunities for professional growth.