Research Engineers, Data

Distyl Inc.

Job Overview

Location

San Francisco

Job Type

Full-time

Full Job Description

📋 Description

• Research Engineers at Distyl build the bridge between frontier AI research and production systems that deliver real business value, designing and implementing compound AI systems that work inside real customer environments.
• Day to day, the role involves designing and building data systems for reliable AI workflows, developing pipelines for data collection and transformation, creating data quality frameworks, building tools to turn raw customer data into usable context, and partnering with AI Researchers and Engineers to understand data quality impacts.
• Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI, serving customers in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations with a 100% production deployment success rate.
• In this role, the person can learn to turn promising AI concepts into robust production systems, develop evaluation frameworks for AI behavior, work with state-of-the-art models and real-world business problems, and gain ownership of high-impact projects across top enterprises while contributing to mission-critical workflows affecting millions of interactions.

🎯 Requirements

• 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

🏖️ 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% 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

Skills & Technologies

Python

Hybrid

$150k-250k

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Distyl Inc.

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About Distyl Inc.

Distyl is a cloud-native platform designed to simplify and accelerate the development and deployment of machine learning (ML) models. It provides a unified environment for data preparation, model training, versioning, and deployment, enabling data scientists and ML engineers to move from experimentation to production faster. The platform offers features such as automated data pipelines, managed training infrastructure, and scalable model serving. Distyl aims to reduce the complexity and operational overhead associated with MLOps, allowing organizations to focus on building and deploying impactful ML solutions. It supports various ML frameworks and integrates with existing cloud infrastructure.

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