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Forward Deployed Researcher - Data as a Service

Join Snorkel AI as a Forward Deployed Researcher to tackle challenging data problems in a customer-facing role.

Location
New York City, NY, United States
Compensation
$180k–$300k/yr
Level
senior
Type
full time · Hybrid

Posted by employer 7 months ago

First seen on Joblaze 13 hours ago

Last verified on the company career page 13 hours ago

Skills & Technologies

What you'll build

  • Own a technical domain end to end
  • Partner with frontier AI research labs
  • Lead technical conversations with customer researchers
  • Probe model behavior through systematic evaluation
  • Design evaluation frameworks and quality rubrics

Must have

  • Strong expertise in frontier AI concepts
  • Experience in applied ML research or data science
  • Proficiency in Python
  • Excellent communication skills
  • Ability to work in a fast-moving environment

Nice to have

  • Familiarity with data curation workflows
  • Experience in customer-facing roles
  • Comfort running evaluations in containerized environments

Requirements

Experience
4+ years
Education
Bachelor's degree

Not disclosed in this posting: visa sponsorship.

Benefits

Dental Coverage Equity/Stock Options Health Insurance

Joblaze summary

In the role of Forward Deployed Researcher at Snorkel AI, the individual will engage directly with frontier AI labs to tackle complex data challenges, focusing on enhancing model performance through tailored datasets and environments. Key skills include expertise in AI concepts, proficiency in Python, and experience in applied ML research, with a strong emphasis on customer collaboration. This position is suited for someone with a solid technical background and a minimum of four years in AI/ML roles, who thrives in fast-paced, ambiguous settings.

Joblaze insights

  • Listed today — first seen on Joblaze October 9, 2026. Last confirmed on Snorkel AI's careers page October 9, 2026.
  • Salary band is in line with the typical range for AI/ML roles (median ~$190,000).
  • Starts above 44% of 204 comparable senior ai/ml roles in United States that list Python we track (median $182,000 across 69 companies). See Python salary trends
  • Python appears in 52.7% of 548 comparable senior ai/ml roles in United States; ML frameworks appears in 0.2% of 548 comparable senior ai/ml roles in United States.

Quick facts

Is the Forward Deployed Researcher - Data as a Service role remote?
It's hybrid — Snorkel AI expects some on-site time in New York City, NY, United States.
What's the salary range?
Snorkel AI lists $180,000–$300,000 for this role.
How much experience is required?
At least 4 years of relevant experience for this Forward Deployed Researcher - Data as a Service role.
Where is the role based?
Snorkel AI is hiring for this position in New York City, NY, United States.
What's the tech stack?
Joblaze extracted these technologies from the posting: DPO, LLM APIs, ML frameworks, Python, RLAIF, RLHF.
What seniority level is this role?
Snorkel AI targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Forward Deployed Researcher - Data as a Service role at Snorkel AI.

From the original posting

About Snorkel

About the Role

Snorkel AI is hiring Forward Deployed Researchers who will partner with frontier AI labs on their most challenging data problems. This is a high-impact, customer-facing role that combines deep technical and research credibility with the ability to work directly with customer research teams. You'll partner with customer research teams to design complex data and environments that improve frontier model performance, serving as a thought partner throughout the engagement.

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.

Forward Deployed Researchers own a technical domain. You are the person who knows where frontier models fail in it, what data moves those numbers, and what we should build next.

Main Responsibilities

  • Own a technical domain end to end: the technical bar for what we build in it, and what we build next
  • 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
  • Benchmark frontier models against our datasets to demonstrate value to customers, building or adapting evaluation harnesses as needed, and turn the results into pass-rate analysis, failure-mode breakdowns, and purchase recommendations
  • 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
  • Hold the demand shape for your domain: which labs want what, at what volume, against what bar, and where the asks are converging
  • Develop a point of view on where your domain is heading, and partner with Research on what should exist before a customer asks for it
  • 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
  • Customer-facing or collaborative research experience, or demonstrated aptitude for client engagement
  • Proficiency in Python, familiarity with ML frameworks and LLM APIs, and comfort running evaluations in containerized environments
  • 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
  • Willingness to make and state a defensible assumption when a request arrives underspecified, rather than waiting for the customer to close the gap
  • 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 research or technical roles; advanced degree preferred

Compensation

The salary range for this role is ~$180,000–$300,000 USD, depending on location, experience, and qualifications. This role may also be eligible for additional benefits, including health and dental coverage and equity grants.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role
$180,000—$300,000 USD

Be Your Best at Snorkel

Standard company text repeated across Snorkel AI's postings is omitted here.

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