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Member of Technical Staff, Data Flywheel

reflectionai · New York City

New
Senior 🇬🇧 English
LLM training evaluation design data curation reinforcement learning reward design software engineering large-scale ML systems

Job description

About the role

Join the Data Flywheel team at Reflection, a research lab focused on making AI intelligence open and accessible. This hands‑on technical position bridges research and deployment, turning ambiguous model behaviors into measurable improvements.

Key responsibilities

  • Identify high‑value data sources and partnership opportunities, translating use cases into representative evaluations.
  • Bring new data sources online, validate quality, and integrate them into production evaluation and training pipelines.
  • Design and build evaluations, graders, and feedback loops to make real‑world model behaviors measurable.
  • Analyze model performance, create targeted datasets, reward signals, and training interventions.
  • Develop human and synthetic data strategies, including running evaluation and data‑collection programs with vendors.
  • Build infrastructure and pipelines for reliable, scalable data ingestion, inspection, versioning, and evaluation.

Required profile

  • BS/MS/PhD in Computer Science, Machine Learning, or related field, or equivalent practical experience.
  • Deep technical understanding of LLM training and evaluation with hands‑on experience in evaluation design, data curation, reinforcement learning, or reward design.
  • Proven ability to own high‑impact projects end‑to‑end in ambiguous, fast‑changing environments.
  • Collaborative, action‑oriented mindset and comfort working across research, engineering, operations, and product teams.

Required skills

  • LLM training and evaluation expertise
  • Evaluation design and data curation
  • Reinforcement learning and reward design
  • Software engineering for automated data/evaluation pipelines
  • Building large‑scale machine‑learning systems

What we offer

  • Top‑tier compensation with salary and equity
  • Stock options for all contributors
  • Comprehensive health, dental, vision, and life coverage plus wellness allowance
  • Daily lunch and dinner provided on‑site
  • 22 weeks paid parental leave for all new parents
  • Unlimited PTO in the U.S. and 30 days in the U.K.
  • Visa sponsorship and immigration support
  • Regular off‑sites, happy hours, and team celebrations

Questions fréquentes

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Source : ats:ashby

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Published 14 hours ago

Expires 1 month from now

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reflectionai

New York City