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.

Company: Snorkel

Role: Applied AI Engineer - Enterprise Solutions

Location: New York City, NY (Hybrid); Redwood City, CA (Hybrid); San Francisco, CA (Hybrid); United States (Remote)

Experience:

3+ years of customer-facing experience in the design and implementation of AI/ML solutions

Key Skills:

Python
software engineering fundamentals
modular design
testing
profiling
packaging
pydantic
mypy
pytest
poetry
FastAPI
msgspec
Ray
Airflow
scikit-learn
PyTorch
Hugging Face Transformers
FAISS
pandas
Spark
Chroma
Weaviate
LlamaIndex
LangGraph
CrewAI

Qualification:

B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience

Role Focus:

Partner with customers to build and deploy impactful Gen AI and machine learning solutions
Develop and implement state of the art AI systems
Create augmented real-world datasets and comprehensive evaluation workflows
Forge and manage relationships with customers’ leadership and stakeholders
Collaborate closely with pre-sales Solutions and Product teams

Additional responsibilities:

Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
Lead stakeholder education on quantitative capabilities
Serve as the voice of our customers for new AI paradigms, data science workflows
Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers

Other:

Compensation range for Tier 1 locations of San Francisco Bay Area $172K - $300K OTE
All offers also include equity in the form of employee stock options
Annual travel up to 25%
Snorkel AI is proud to be an Equal Employment Opportunity employer

Applied AI Engineer - Enterprise Solutions

Skills Required

Description