Snowflake

About Snowflake

The cloud data platform for seamless data sharing

🏢 Tech👥 1001+ employees📅 Founded 2012📍 Menlo Park, CA💰 $1.4b3.9
B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Key Highlights

  • Public company (NYSE: SNOW) - strong equity potential
  • Over 1,300 partners managing 250PB of data
  • 515 million data workloads processed daily
  • $1.4 billion raised to date

Snowflake (NYSE: SNOW) is a leading cloud data platform headquartered in Menlo Park, CA, designed for data sharing and application development. With over 1,300 partners, Snowflake manages more than 250PB of data and supports over 515 million data workloads daily. The company has raised $1.4 billion ...

🎁 Benefits

Snowflake offers comprehensive health insurance, robust retirement plans, generous PTO, and on-demand mental health programs. Employees also benefit f...

🌟 Culture

Snowflake fosters a culture focused on innovation and collaboration, breaking down data silos with a frictionless cloud platform. The company emphasiz...

Snowflake

Machine Learning Engineer Principal

SnowflakeMenlo Park

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Overview

Snowflake is hiring a Principal Machine Learning Engineer to lead the Search Quality team. You'll focus on transforming search relevance through data-driven frameworks and AI integration. This role requires extensive experience in machine learning and data analysis.

Job Description

Who you are

You have 15+ years of experience in machine learning and data analysis, with a strong background in developing and implementing algorithms that enhance search quality. Your expertise in Python and SQL allows you to manipulate and analyze large datasets effectively, ensuring that search results are relevant and accurate. You are a strategic thinker who can bridge the gap between traditional search methodologies and modern AI techniques, driving innovation in search technology.

You possess excellent communication skills, enabling you to collaborate effectively with cross-functional teams, including product managers, engineers, and data scientists. Your leadership experience has equipped you to mentor junior engineers and guide them in best practices for machine learning and data-driven decision-making. You thrive in a collaborative environment where you can challenge conventional thinking and push the boundaries of technology.

What you'll do

As the Principal Machine Learning Engineer for Search Quality, you will lead the technical direction of the Snowscope team, focusing on improving the internal search system that powers discovery across various data sources. You will be responsible for transforming how search relevance is measured and improved, moving from heuristic-based approaches to a disciplined, data-driven framework. Your role will involve identifying key areas for investment and ensuring that the search technology is prepared for the next generation of AI-driven workflows.

You will work closely with product teams to define the requirements for search functionality and collaborate with engineers to implement solutions that enhance user experience. Your insights will guide the development of features that improve search accuracy and efficiency, ultimately enabling users to find relevant information quickly and effectively. You will also be involved in evaluating new technologies and methodologies that can be integrated into the search system, ensuring that Snowflake remains at the forefront of innovation in data discovery.

What we offer

At Snowflake, we foster a culture of impact, innovation, and collaboration. You will have the opportunity to work with cutting-edge technologies and contribute to projects that have a significant impact on our customers' success. We offer competitive compensation and benefits, along with a supportive environment that encourages professional growth and development. Join us in building a future where data is easily accessible and actionable for enterprises worldwide.

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