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Machine Learning Data Engineer

reflection • United State
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AI Summary

The role focuses on identifying high-value data sources, building evaluation pipelines, and turning model signals into measurable improvements. You will design and integrate data, evaluation, and feedback loops, collaborating with research, engineering, and partners. Requires deep LLM training knowledge, strong software engineering, and experience with large-scale ML data pipelines.

Key Highlights
Identify and integrate high-value data sources for model evaluation
Design and build scalable evaluation and feedback pipelines
Collaborate across research, engineering, and external partners to drive model improvements

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Key Responsibilities
Identify high-value data sources and partnership opportunities, translate use cases into representative evaluations.
Bring new data sources online, from partner conversations through quality validation and integration into production pipelines.
Design and build evaluations, graders, and feedback loops to make real-world model behaviors measurable.
Analyze model performance and failure modes, translating insights into targeted datasets, reward signals, and training interventions.
Develop human and synthetic data strategies, designing and running evaluation and data-collection programs with vendors.
Build infrastructure and pipelines to ingest, inspect, version, and evaluate data reliably at scale.
Collaborate closely with pre‑training, post‑training, applied, and partnership teams to turn new signals into measurable model improvements.

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Technical Skills Required
LLM training Evaluation design Software engineering

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Benefits & Perks
Competitive salary and equity compensation
Comprehensive health, dental, vision and life insurance
Unlimited paid time off and generous parental leave

Job Description

Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.Role OverviewThe Data Flywheel team closes the gap between benchmark performance and useful performance in the real world. We identify and build the signals, data, and feedback loops that turn model usage into rigorous evaluations, targeted training data, and measurable improvements in future generations of models.
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Job Overview
Posted Date Oct 09, 2026
Employment Type Full-time
Experience Level Not Applicable
Location United State
Category Machine Learning
Company reflection
Mentioned Skills
ai machine learning

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