Snorkel AIRemote
AI Solutions Engineer - Data as a Service
United States
Full-time
7 hours ago
$172,000 - $300,000 USD
H1B Sponsor Likely
Key skills
Frontier AI conceptsApplied ML researchPythonML frameworksLLM APIsData curation workflowsSynthetic data generationwork in ambiguitycommunicationTechnical presentationsAIMachine LearningMLLLMCommunicationSales
About this role
Snorkel AI is on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI Solutions Engineer will partner with leading AI labs to address challenging data problems, focusing on designing datasets and environments that enhance model performance while collaborating closely with customer research teams.
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