AI Solutions Engineer – Data as a Service

🕒 April 1

🏢🏡 New York City – Hybrid

💵 $172k - $300k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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Snorkel AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🤖 Artificial Intelligence

💸 Finance

⚕️ Healthcare Insurance

Artificial Intelligence • Finance • Healthcare Insurance

Snorkel AI is an innovative platform that specializes in providing expert-level training and evaluation data tailored for machine learning models. Their service, known as Expert Data-as-a-Service, enables organizations to create high-quality datasets for AI applications, significantly accelerating model delivery and enhancing accuracy. Founded from research at Stanford, Snorkel partners with leading AI companies to push the boundaries of AI capabilities across various sectors, including finance and healthcare.

📋 Description

• 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