Snorkel AI is looking to hire data scientists and engineers to help enterprises transform expert knowledge into specialized AI at scale by designing, developing, and delivering high-quality AI/ML data products for their critical AI initiatives.
Requirements
- 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
Responsibilities
- Develop and deploy ML-based workflows
- Build the technical foundations that make our human-in-the-loop (HITL) data generation and review faster and more effective
- Develop technical specifications, design evaluation workflows, implement quality standards, measurement frameworks, and ML-assisted applications which improve our data pipelines and unblock projects through technical innovation
- 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
Other
- 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
- Current U.S. work authorization required; this role does not offer visa sponsorship.
