Forward Deployed Researcher – Data as a Service

Snorkel AI

. Own a technical domain end to end, including the technical bar for what to build and what to build next .

Posted 10/8/2026full-timeUnited StatesMid-LevelSenior💰 $180,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong expertise in frontier AI concepts, including LLMs and evaluation methodologies, while effectively collaborating with customer research teams and delivering technical presentations. Proficient in Python and familiar with ML frameworks, ensuring the development of robust evaluation frameworks and data projects.

Highest-signal resume keywords

Frontier AI ConceptsApplied ML ResearchPython ProficiencyEvaluation MethodologiesCustomer-Facing Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

LLMsTraining Data PipelinesPost-Training TechniquesData ScienceEvaluation Framework DesignData Curation WorkflowsSynthetic Data GenerationContainerized EnvironmentsBenchmarkingTechnical Specifications

Soft Skills

Excellent Communication SkillsClient EngagementAbility to Work in Ambiguity

Tools & Technologies

ML FrameworksLLM APIs

Certifications & Qualifications

B.S. in Computer ScienceAdvanced Degree Preferred

Industry Keywords

AI/ML ResearchResearch-Intensive Technical RolesModel CapabilitiesFailure ModesQuality Rubrics

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Own a technical domain end to end, including the technical bar for what to build and what to build next
Partner with frontier AI research labs to design datasets and environments that improve model performance
Lead technical conversations with customer researchers about model capabilities, failure modes, data requirements, and success criteria
Probe model behavior through systematic evaluation to uncover weaknesses and identify high-impact data interventions
Benchmark frontier models against datasets and build or adapt evaluation harnesses as needed
Turn benchmark results into pass-rate analysis, failure-mode breakdowns, and purchase recommendations
Design evaluation frameworks, calibration processes, and quality rubrics establishing measurable project success metrics
Develop technical specifications for data projects balancing research rigor with operational feasibility
Hold the demand shape for the domain, including customer needs, volume, quality bar, and converging requests
Develop a point of view on the domain's direction and partner with Research on future offerings
Serve as a thought partner to customer research teams throughout the sales cycle
Stay current on frontier AI research, RL environment design, post-training techniques, and evaluation methodologies

Requirements

What you’ll need

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
Customer-facing or collaborative research experience, or demonstrated aptitude for client engagement
Proficiency in Python
Familiarity with ML frameworks and LLM APIs
Comfort running evaluations in containerized environments
Excellent communication skills and 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
Willingness to make and state defensible assumptions when requests are underspecified
Ability to work in a fast-moving environment with ambiguity and rapid iteration
B.S. in Computer Science, Machine Learning, or related field with 4+ years of experience in AI/ML research or technical roles
Advanced degree preferred

Benefits

Comp & perks

Health and dental coverage
Equity grants
Meaningful opportunities to shape priorities and initiatives
Opportunity to influence key strategic decisions
Opportunities to deepen technical expertise, explore leadership opportunities, and learn new skills across multiple functions
Career growth, learning, and shared success environment
Reasonable accommodation for individuals with disabilities