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Research Engineers, Data

Distyl AI· Research
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Hybrid (San Francisco), Hybrid (New York)$150k - $250kFull-timePosted 4mo ago

About the role

Research Engineers bridge frontier AI research and production systems, designing data systems and pipelines to power reliable AI workflows, partnering with AI Researchers and Engineers, and turning new techniques into robust, production-ready solutions.

Responsibilities

  • Design and build data systems that power reliable AI workflows across enterprise environments
  • Develop pipelines for collecting, cleaning, transforming, labeling, and evaluating domain-specific data used by AI systems
  • Create data quality frameworks that identify coverage gaps, ambiguity, drift, duplication, leakage, and other failure modes
  • Build tools and workflows that help teams turn raw customer data into usable context for retrieval, evaluation, reasoning, and execution
  • Partner with AI Researchers and AI Engineers to understand how data quality affects system behavior and production outcomes
  • Develop synthetic data, annotation, and feedback-loop strategies to improve system performance in areas where real-world data is sparse or noisy
  • Analyze customer workflows and datasets to determine what information AI systems need, where that information should come from, and how it should be represented
  • Communicate clearly with internal teams and customer stakeholders about data assumptions, limitations, risks, and tradeoffs

Qualifications

  • Experience Building Data Systems for AI: You have built data pipelines, evaluation datasets, labeling workflows, retrieval corpora, or similar systems that improve model or agent behavior
  • Strong Data Engineering Fundamentals: You write clean Python and SQL, understand data modeling and pipeline reliability, and can build systems that are maintainable under production constraints
  • Research-Oriented Builder: You are comfortable investigating how data quality, structure, and representation affect AI system performance
  • AI-Native Working Style: You use AI tools daily to accelerate coding, analysis, debugging, exploration, and workflow automation
  • Comfort with Ambiguous Data: You can reason through messy enterprise datasets, incomplete documentation, conflicting business definitions, and changing requirements
  • Bias Towards Measurement: You prefer to make data quality and system behavior observable through concrete metrics, evaluations, and experiments
  • Customer Environment Readiness: You can work directly with customer teams to understand their data, ask precise questions, and explain tradeoffs clearly
  • Ownership Mentality: You take responsibility for whether the data layer enables the AI system to deliver reliable value in production

Skills

Required:PythonSQLData ModelingData PipelinesExperimentation & Evaluation

Benefits

  • The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
  • 100% coverage of medical, dental, and vision insurance for employee and dependents
  • Flexible time off
  • Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
  • Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
  • Complimentary in-office lunches and snacks provided
  • Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
  • Ownership of high-impact projects across top enterprises
  • A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Last updated Sep 17, 2026. Interested? Apply on the company site.

About Distyl AI

Rearchitecting Entire Industries For Frontier Technologies

Building AI solutions that power F500 big bets and create a competitive edge.

AIIndustry transformationEnterprise AIInnovation
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