Applied AI Engineer - Enterprise Solutions at Snorkel AI

Redwood City, California, 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

Technology, AIIndustries

Requirements

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
Proficient in Python
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), and LLM orchestration, workflow, and agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI)
Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive business value
Willingness to travel up to 25% annually

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 designing custom approaches
Develop and implement state-of-the-art AI techniques such as retrieval-augmented generation (RAG), fine-tuning, prompt engineering, AI agents, ML model training, and optimizing model performance for real-world deployment
Forge and manage relationships with customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow
Lead stakeholder education on quantitative capabilities, helping them understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI
Serve as the voice of customers for new AI paradigms and data science workflows, sharing customer feedback with product teams
Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI

Skills

Key technologies and capabilities for this role

Gen AIMachine LearningAI SolutionsSnorkel FlowPrototypingCustomer Solutions

Questions & Answers

Common questions about this position

What are the main responsibilities of the Applied AI Engineer role?

The role involves partnering with customers to build and deploy Gen AI and ML solutions, developing state-of-the-art AI techniques like RAG, fine-tuning, and prompt engineering, managing customer relationships, educating stakeholders, and sharing feedback with product teams.

What skills and techniques will I use in this position?

You'll research and utilize Gen AI and ML techniques including retrieval-augmented generation (RAG), fine-tuning, prompt engineering, AI agents, ML model training, and model optimization for deployment.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What kind of person is ideal for this Applied AI Engineer role?

This position is ideal for someone who enjoys solving complex problems, working directly with customers, bridging AI technology and business value, and staying curious about AI tools, workflows, and 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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