Snorkel AI · 5 hours ago
Forward Deployed Engineer - Data-as-a-Service
Snorkel AI is a company focused on transforming expert knowledge into specialized AI at scale. They are seeking a Forward Deployed Engineer who will work on designing, developing, and delivering high-quality AI/ML data products, ensuring end-to-end ownership of the AI data pipeline lifecycle.
Artificial Intelligence (AI)Data Collection and LabelingEnterprise SoftwareMachine Learning
Responsibilities
Partner with the Sales Team on client discovery calls to provide technical depth, assess solution fit, and scope Data-as-a-Service opportunities
Develop and present tailored technical assets including specifications, data dictionaries, sample datasets, and client-specific demonstrations to illustrate feasibility and value
Define project scope and success criteria in collaboration with customer stakeholders and internal delivery teams, ensuring alignment on technical requirements and capacity
Design and execute calibration processes including baseline batches, benchmark reports, and evaluation frameworks that establish measurable project success metrics
Build and deploy evaluators, design and implement quality measurement systems to validate project outputs and ensure deliverables meet client expectations
Generate synthetic datasets by developing or adapting existing pipelines to accelerate client engagements and augment training data
Package and deliver production-grade datasets with standardized formatting, comprehensive documentation, and quality assurance
Configure and build custom applications and off-platform solutions for non-standard or specialized client requirements
Define production specifications and workflows, securing technical alignment with client teams to enable seamless go-live transitions
Provide ongoing technical support to Delivery Managers, addressing complex questions, resolving technical blockers, and supporting customer rebuttals
Maintain specification consistency and alignment across customer and internal teams throughout the engagement lifecycle
Identify and document workflow best practices and automation opportunities, collaborating with DaaS Engineering to continuously improve delivery capabilities
Maintain solution leaderboards and execute custom model benchmarking on existing datasets to demonstrate technical capabilities
Drive continuous improvement of technical assets, evaluation frameworks, and delivery processes to enhance speed, quality, and scalability
Support account growth by identifying upsell and cross-sell opportunities based on technical interactions with client engineering and research teams
Qualification
Required
2+ years of experience in data science and engineering roles
Strong practical experience with Python, SQL, and data tooling (e.g., pandas, Plotly, Streamlit, Dash)
Familiarity with LLM-based workflows and applying ML techniques in production contexts
Experience leveraging Backend APIs and interpreting associated technical documentation
Benefits
Equity in the form of employee stock options
Company
Snorkel AI
Snorkel AI is an AI platform that accelerates data labeling by using machine learning for faster model training.
H1B Sponsorship
Snorkel AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (17)
2024 (8)
2023 (4)
2022 (4)
2021 (10)
2020 (1)
Funding
Current Stage
Late StageTotal Funding
$235.25MKey Investors
Accenture VenturesAdditionQBE Ventures
2025-08-06Series Unknown
2025-05-29Series D· $100M
2024-01-23Series Unknown
Recent News
SV Angel
2025-12-02
Company data provided by crunchbase