Snorkel AI

Applied AI Engineer- Federal

Head of Business Operations

Director of FP&A

Staff Product Manager – Marketplace

Learning Experience Developer, Enablement

Instructional Designer, Enablement

Staff Product Manager – AI/ML

As an Applied AI Engineer, you will research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to deliver solutions to customers. You will work directly with customers to understand their business and technical needs, designing and delivering AI solutions using Snorkel Flow or custom approaches. This role also involves defining Snorkel’s Applied AI tooling by translating real-world challenges into reusable solution recipes, workflows, and best practices for the platform.

Head of Forward-Deployed Engineering, DaaS

<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">About Snorkel</h2>At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions to solve them - either by leveraging Snorkel Flow or developing custom approaches when needed. You will also help define Snorkel’s Applied AI tooling by translating repeatable real-world challenges into reusable solution recipes, workflows, best practices, and platform-level capabilities that become part of Snorkel Flow’s next generation of AI tooling. We move fast and are constantly prototyping and innovating new ways to deliver value to our customers. This position is ideal for someone who enjoys solving complex problems, bridging the gap between AI technology and business value, working directly with customers, keeping up-to date with AI research, and standardizing bespoke solutions into internal recipes and staying naturally curious about the infrastructure that underpin the Applied AI stack end-to-end.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Main Responsibilities</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform.</li><li class="leading-relaxed">Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows.</li><li class="leading-relaxed">Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role.</li><li class="leading-relaxed">Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow.</li><li class="leading-relaxed">Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup.</li><li class="leading-relaxed">Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices.</li><li class="leading-relaxed">Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI.</li><li class="leading-relaxed">Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams.</li><li class="leading-relaxed">Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI.</li><li class="leading-relaxed">As part of our team, you will have the opportunity to work on all aspects of complex National Security problems.</li><li class="leading-relaxed">Annual travel up to 25%.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Preferred Qualifications</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience.</li><li class="leading-relaxed">3+ years of customer-facing experience in the design and implementation of AI/ML solutions.</li><li class="leading-relaxed">Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow).</li><li class="leading-relaxed">Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI).</li><li class="leading-relaxed">Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement.</li><li class="leading-relaxed">Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.</li><li class="leading-relaxed">Ability to work in a fast-paced environment and balance priorities across multiple projects at once.</li><li class="leading-relaxed">Experience reviewing and drafting responses to federal Requests for Comment (RFCs), Requests for Information (RFIs), Requests for Proposals (RFPs), etc. is preferred</li><li class="leading-relaxed">Experience working across the Civilian, DOD and NATSEC agencies, inclusive of experience in Federal Law Enforcement, Healthcare, Financial/Regulatory and Military operations and logistics</li><li class="leading-relaxed">Candidates must have an active TS/SCI; preferred with a Single Scope Background Investigation (SSBI) with Polygraph.</li></ul>Compensation range for Tier 2 Location - Washington DC Region, $160K - $250K OTE. All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Locations</h2>Must reside in the Washington DC Region.#LI-CG1Salary Range$160,000 - $250,000 USD<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Be Your Best at Snorkel</h2>Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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We are seeking a Junior Data Scientist/Research Analyst Intern to join our Corporate Marketing and Thought Leadership teams. The intern will perform quantitative research to investigate important labor market issues, support client engagements, and improve the data available for products, while also contributing to marketing-focused research efforts such as media requests, blogs, and corporate research projects.Research is driving the national conversation around critical issues in the job market and is frequently cited in national publications such as the Wall Street Journal, the New York Times, and The Economist. The Research Analyst will play a vital role in supporting public and client-based research, as well as developing cutting-edge analytics to provide insight to power products and enhance marketing initiatives. This role is uniquely positioned at the intersection of data science and marketing, offering opportunities to apply analytical skills to craft compelling narratives that inform media presence and support our broader marketing strategy.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Major Responsibilities</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Analyze and validate labor market and workforce data to identify emerging trends and skill needs.</li><li class="leading-relaxed">Develop clear, engaging data visualizations that translate complex data into actionable insights.</li><li class="leading-relaxed">Support marketing and communications efforts by preparing data-driven content for reports, blogs, and media outreach.</li><li class="leading-relaxed">Execute and refine data queries using proprietary database and other public data sources; ensure data quality and accuracy.</li><li class="leading-relaxed">Contribute to client-facing research projects in sectors such as higher education, workforce development, and human capital management.</li><li class="leading-relaxed">Write concise, insightful summaries of research findings for both internal and external audiences.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Education and Experience</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Currently pursuing an undergraduate or graduate degree in Economics, Statistics, Computer Science, Data Science, or a related quantitative field.</li><li class="leading-relaxed">Prior internship or co-op experience in research, analytics, consulting, or marketing preferred.</li><li class="leading-relaxed">Skilled in data manipulation and analysis using tools such as SQL, R, or Python.</li><li class="leading-relaxed">Experience building data visualizations in Tableau, Excel, PowerPoint, or R.</li><li class="leading-relaxed">Strong writing and communication skills, with the ability to translate complex findings into clear, accessible insights.</li><li class="leading-relaxed">Highly organized, detail-oriented, and intellectually curious — with an interest in connecting data insights to marketing and storytelling.</li></ul>We are a global leader in labor market insights with offices in Moscow, ID (US), the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.We are proud to be an equal opportunity workplace. We consider all qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We have always been, and always will be, committed to our diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Applied AI Engineer- Federal

Head of Business Operations

Director of FP&A

Staff Product Manager – Marketplace

Learning Experience Developer, Enablement

Instructional Designer, Enablement

Instructional Designer, Enablement

Learning Experience Developer, Enablement

Staff Product Manager – AI/ML

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