Where Data Does More. Join the Snowflake team.
We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Data Cloud allows sharing live data in governed and secure ways so our customers can solve their business problems. We’re building a collaboration forum for data consumers and providers to exchange and collaborate on data within an organization.
The Collaboration team is at the forefront of revolutionizing multi-party data collaboration. We are building the next generation of our data sharing platform, focusing on a groundbreaking AI-powered capability. This project aims to seamlessly connect data providers with consumers based on their expressed use cases. Imagine a user providing a natural language query like "I need data to understand consumer spending habits for athletic footwear in the Bay Area during Q3" – our system will intelligently identify, recommend, and orchestrate access to the most relevant data providers and data products. This ambitious initiative sits at the intersection of large language models, advanced data intelligence, and secure data sharing, promising to unlock unprecedented value for our customers.
As a Senior AI Applications Engineer on this pivotal project, you will be instrumental in designing, developing, and deploying the core AI systems that power our intelligent data matching, recommendation, and orchestration engine. You will work with cutting-edge LLMs, graph databases, and advanced data processing techniques to transform complex metadata into actionable insights, enabling our users to discover and leverage data like never before. This is a unique chance to shape a product that fundamentally changes how organizations collaborate on data.
3+ years of industry experience designing, building, and supporting backend large-scale data processing systems in production
1+ years of experience in Artificial Intelligence (AI) and Machine Learning (ML) application engineering roles, hands-on experience with LLM architecture, prompt engineering, with a strong focus on building and deploying production-grade AI systems.
Experience building and deploying AI solutions on major cloud platforms
Strong fundamental computer science skills
Strong knowledge of algorithms and data structures
Knowledge of databases and distributed systems
Fluency in Java and SQL
BS/MS/PHD in Computer Science or related majors, or equivalent experience
Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
Prior experience with recommendation systems or search ranking algorithms.
Familiarity with data deduplication and entity resolution techniques at scale.
Experience building applications on or integrating deeply with Snowflake's ecosystem
Contributions to open-source AI/ML projects or relevant research publications.
Experience with MLOps practices and tools for model deployment, monitoring, and lifecycle management.
A Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related quantitative field.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
The following represents the expected range of compensation for this role:
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
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