Forward Deployed Engineer, Snorkel AI
Data-as-a-Service
+ Equity in the form of stock options
More information about location
1+ day a week in office
Data-centric enterprise AI platform for
Be an early applicant
Data-centric enterprise AI platform for
101-200 employees
Be an early applicant
+ Equity in the form of stock options
More information about location
1+ day a week in office
101-200 employees
Company mission
To empower everyone to solve their most impactful problems through data-centric AI.
Role
Who you are
- This role is ideal for someone who is comfortable working throughout the entire presales to delivery lifecycle, rolling up their sleeves to solve complex multi-faceted problems, thrives as a technical communicator and works well as a key member of a team
- 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
What the job involves
- Snorkel AI is hiring data scientists and engineers who will work directly on Snorkel projects, partnering with leading labs and enterprises to design, develop, and deliver high quality AI/ML data products for their most critical AI initiatives
- This is a high-impact, customer-facing role focused on end-to-end ownership of the AI data pipeline lifecycle
- This includes developing and deploying ML-based workflows, and building the technical foundations that make our human-in-the-loop (HITL) data generation and review faster and more effective
- You’ll work at the critical intersection of data science, data engineering, AI engineering and operations, partnering closely with our DaaS Delivery Operations team and cross-functional stakeholders
- You’ll 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
- Pre-Sales & Discovery
- 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
- Project Execution & Delivery
- 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
- Production & Technical Partnership
- 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
- Technical Leadership & Innovation
- 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
- At Snorkel AI, we're building the future of data-centric AI. Our Expert Data-as-a-Service organization partners with world-class customers to solve some of the hardest data challenges — creating training and evaluation data that power the next generation of LLMs and AI systems
- You'll work directly on projects that impact real production systems, while shaping how internal teams deliver faster, better, and more intelligently
- This is a rare opportunity to own technical data workflows and be a founding member of the technical DaaS team
Application process
- Ideally, the candidate would be able to start as soon as possible (within 30 days)
Our take
Demand for AI is increasing in almost every industry, but the machine learning that fuels it is tedious to set up. In order to train machine learning algorithms, training data must be labelled manually, and this contributes to expenses in time, money and resources when integrating AI within a business.
Snorkel AI develops programmatic approaches to data labelling in order to automate the setup process of machine learning and decrease the required timeframe for a business to begin providing AI services. In addition to these automated data categorization services, the company also integrates data training, management, and analysis into a unified AI-deployment platform.
The complex computer science behind AI setup has resulted in many businesses without computer science backgrounds being left behind, and Snorkel AI has set this as their target audience. As of 2023, this customer base has tripled in size since Snorkel AI's founding and in 2024, enjoyed a new round of funding. With these promising developments, the company continues to innovate the sector.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
May 2025
$100m
SERIES D
Aug 2021
$85m
SERIES C
Total funding: $235m
Company benefits
- Home office allowance
- Yearly wellness stipend
- Healthy meals, snacks & drinks in office
- 401k with a 100% match up to 5% of annual salary
- Regular team events
- Generous paid parental leave
- Work from home opportunities
- Health insurance
Company HQ
Centennial, Redwood City, CA
Leadership
Alex Ratner
(Co-founder & CEO)Studied at Harvard and received a PhD from Stanford. They are also an Assistant Professor at the University of Washington.
Paroma Varma
(Co-founder)They hold a PhD from Stanford and was VP of Corporate Relations at the Society of Women Engineers. They have collaborated with teams at Facebook and Intel.
Braden Hancock
(Co-founder & Head of Technology)They have a PhD in Computer Science from Stanford, and worked as a Research Assistant with the Air Force and MIT. They were also a Software Engineer at Google, and a Researcher at Facebook.
Henry Ehrenberg
(Co-Founder)They studied at Yale and Stanford and worked at Facebook as a Quantitative Engineering Intern and a Senior Applied Research Scientist.
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