[Remote] Applied AI Engineer- Federal at Snorkel AI

Washington, District of Columbia, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Technology, FederalIndustries

Requirements

Ability to research and utilize state-of-the-art Gen AI and machine learning (ML) techniques
Experience working directly with customers to understand business and technical needs
Proficiency in designing and delivering AI solutions, leveraging Snorkel Flow or developing custom approaches
Skill in translating real-world challenges into reusable solution recipes, workflows, best practices, and platform-level capabilities
Comfort with prototyping and innovating quickly
Enjoys solving complex problems, bridging AI technology and business value, staying up-to-date with AI research, and curiosity about Applied AI infrastructure end-to-end
Data- and evaluation-first mindset

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, leveraging Snorkel Flow or custom approaches
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
Forge and manage relationships with customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow
Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup
Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
Lead stakeholder education on quantitative capabilities, helping them understand the strengths and weaknesses

Skills

Key technologies and capabilities for this role

Generative AIMachine LearningAI Data DevelopmentSnorkel FlowPythonML Techniques

Questions & Answers

Common questions about this position

What is the salary range for this Applied AI Engineer role?

This information is not specified in the job description.

Is this Applied AI Engineer position remote or does it require working in an office?

This information is not specified in the job description.

What skills are required for the Applied AI Engineer role?

The role requires expertise in state-of-the-art Gen AI and machine learning techniques, ability to design and deliver AI solutions including model development and deployment, and skills in customer partnership for use case scoping and data exploration.

What is the company culture like at Snorkel AI?

Snorkel AI fosters a fast-moving, innovative environment focused on prototyping, customer value delivery, and transforming expert knowledge into AI, with a mission to democratize AI through data development.

What makes a strong candidate for this Applied AI Engineer position?

Strong candidates enjoy solving complex problems, bridging AI technology and business value, working directly with customers, staying current with AI research, and standardizing solutions into reusable recipes while being curious about AI infrastructure.

Snorkel AI

Transforms manual AI processes into programmatic solutions

About Snorkel AI

Snorkel AI focuses on improving the development of artificial intelligence by transforming traditional manual processes into automated, programmatic solutions. This allows businesses to create AI systems that are specifically designed for their unique needs much more quickly. Their technology is based on research from the Stanford AI lab and is used by major organizations, including top US banks, government agencies, and Fortune 500 companies. Snorkel AI stands out from its competitors by offering proprietary data and knowledge that help speed up the deployment of AI solutions. The company's goal is to make AI development more efficient and accessible for enterprises, enabling them to leverage AI effectively in their operations.

Redwood City, CaliforniaHeadquarters

2019Year Founded

$131.3MTotal Funding

SERIES_CCompany Stage

Data & Analytics, AI & Machine LearningIndustries

201-500Employees

Benefits

Health - Snorkelers and their dependents are covered by comprehensive medical, dental, and vision plans.

Environment - We provide an allowance for Snorkelers to set up workstations however they want.

Wellness - Snorkelers are given a yearly wellness stipend to be used on anything relating to health and well-being.

Risks

Open-source AI platforms like Together AI increase competition for Snorkel AI.

Copyright lawsuits against AI firms pose potential legal risks for Snorkel AI.

Rapid expansion may lead to integration challenges within Snorkel AI's operations.

Differentiation

Snorkel AI uses programmatic data labeling to accelerate AI development.

The company transforms proprietary data into AI-ready datasets for specialized models.

Snorkel AI's technology originated from Stanford AI Lab research.

Upsides

Snorkel AI's partnership with Together AI enables custom LLMs for enterprises.

The release of Snorkel Flow 2023.R4 enhances user experience and tool integration.

Growing demand for programmatic data labeling boosts Snorkel AI's market potential.

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