Research Engineers, Data

Key Responsibilities

• Design and build data systems that power reliable AI workflows across enterprise environments
• Create 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

What You Are

• Experience Building Data Systems for AI
• Strong Data Engineering Fundamentals
• Research-Oriented Builder
• AI-Native Working Style
• Bias Towards Measurement
• Customer Environment Readiness
• Ownership Mentality

What We Offer

• 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% covered medical, dental, and vision for employees and dependents
• 401(k) with additional perks (e.g., commuter benefits, in-office lunch)
• Access to state-of-the-art 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 prizes curiosity, pragmatism, and excellence