Hybrid AI Solutions Engineer – Data as a Service

at Snorkel AI

• Job title: AI Solutions Engineer – Data as a Service
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $172,000 - $300,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python
• Location requirements: Hybrid, New York City, United States

About the role

• AI Solutions Engineer at Snorkel AI partnering with research labs to design datasets and improve frontier model performance. Engaging in technical conversations to enhance AI capabilities and interventions.

Responsibilities

• Partner with frontier AI research labs to design datasets and environments that improve model performance
• Lead technical conversations with customer researchers to understand model capabilities, failure modes, data requirements, and success criteria
• Probe model behavior through systematic evaluation to uncover weaknesses and identify high-impact data interventions
• Design evaluation frameworks, calibration processes, and quality rubrics that establish measurable project success metrics
• Develop technical specifications for data projects that balance research rigor with operational feasibility
• Serve as thought partner to customer research teams throughout the sales cycle, building trust and credibility
• Stay current on frontier AI research, RL environment design, post-training techniques, and evaluation methodologies

Requirements

• Strong expertise in frontier AI concepts including LLMs, training data pipelines, evaluation methodologies, post-training techniques (RLHF, DPO, RLAIF), and domain areas such as coding agents, reasoning, multimodal models, or RL environments
• Experience in applied ML research, data science, or research-intensive technical roles with customer-facing or collaborative research experience
• Proficiency in Python and familiarity with ML frameworks and LLM APIs
• Excellent communication skills — ability to deliver technical presentations and explain complex concepts to diverse audiences
• Familiarity with data curation workflows, synthetic data generation, LLM-as-a-Judge, or evaluation framework design
• Ability to work in a fast-moving environment, comfortable with ambiguity and rapid iteration
• B.S. in Computer Science, Machine Learning, or related field with 4+ years of experience in AI/ML solutions engineering or technical customer-facing roles.

Benefits

• equity in the form of employee stock options