Applied AI Engineer - Federal (TS Required)

About Snorkel

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.

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.

The Role

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.

Main Responsibilities

• 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.
• Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows.
• Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust.
• Forg and manage relationships with our customers' leadership and stakeholders to ensure successful development and deployment of AI projects.
• Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities.
• Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices.
• Serve as the voice of our customers for new AI paradigms and share customer feedback to product teams.
• Conduct workshops to transfer knowledge to customers.

Preferred Qualifications

• B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience.
• 3+ years of customer-facing experience in the design and implementation of AI/ML solutions.
• Proficiency in Python, including strong grounding in software engineering fundamentals.
• Expertise across the Applied AI stack, spanning classical ML libraries, deep learning frameworks, and LLM orchestration tools.
• Experience leading strategic, customer-facing initiatives.
• Outstanding presentation skills to technical and executive audiences.
• Candidates must have an active TS (Top Secret) Clearance

Salary Range: $160,000—$250,000 USD