Principal AI/ML Architect, Applied Field Engineering
Snowflake191,000 - 273,000 USD/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Software DevelopmentIndustries
Requirements
Candidates should possess 3+ years of customer-facing experience in the design and implementation of AI/ML solutions, and proficiency in Python. Expertise in AI frameworks and libraries is preferred.
Responsibilities
As an Applied AI Engineer, you will partner with customers to build and deploy impactful Gen AI and machine learning solutions, developing and implementing state-of-the-art AI techniques such as retrieval-augmented generation (RAG), fine-tuning, prompt engineering, and optimizing model performance. You will also forge and manage relationships with customers’ leadership, lead stakeholder education, serve as the voice of customers for new AI paradigms, conduct enablement workshops, and travel up to 25% annually.
Skills
Generative AI
Machine Learning
AI Solutions Design
Customer Collaboration
AI Platform Development
Prototyping
Data Development
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.
Key Metrics
Redwood City, CaliforniaHeadquarters
2019Year Founded
$131.3MTotal Funding
SERIES_CCompany Stage
Data & Analytics, AI & Machine LearningIndustries
201-500Employees