AI Solutions Engineer - Data as a Service

Snorkel AI • New York City, NY (Hybrid); Redwood City, CA (Hybrid); San Francisco, CA (Hybrid); United States (Remote) • 1h ago

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.

Main 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

Preferred Qualifications

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

Compensation range for Tier 1 locations of San Francisco Bay Area and New York City, $172K - $300K OTE. All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Why Join Snorkel AI?

At Snorkel AI, we're building the future of data-centric AI. Our Expert Data-as-a-Service organization partners with world-class customers to solve some of the hardest data challenges — creating training and evaluation data that power the next generation of LLMs and AI systems. You'll work directly on projects that impact real production systems, while shaping how internal teams deliver faster, better, and more intelligently. This is a rare opportunity to own technical data workflows and be a founding member of the technical DaaS team.

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Salary Range

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