AI Solutions Engineer - Data as a Service

Snorkel AI • New York City, NY

7h • $172,000 - $300,000

About The Position

About Snorkel
At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role Snorkel AI is hiring Frontier AI Solutions Engineers who will partner with leading AI labs on their most challenging data problems. This is a high-impact, customer-facing role that combines technical depth with strong presales instincts. You'll partner with customer research teams to design complex data and environments that improve frontier model performance, demonstrating Snorkel's capabilities through research-driven engagements. You'll work at the critical intersection of research, technical strategy, and customer partnership. This includes scoping training data needs, designing RL environments and tasks, developing evaluation frameworks, probing model behavior and failure modes, and translating customer research objectives into actionable technical plans. You'll develop technical specifications, analyze frontier model failure modes, and serve as a thought partner to customer research teams throughout the sales cycle and into early delivery phases.

Nice To Haves

• 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

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

Benefits

• All offers also include equity in the form of employee stock options.
• Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth.
• As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success.
• Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level