Senior Software Engineer - Machine Learning Feature Store at Snowflake

Bellevue, Washington, United States

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$222,000 – $295,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

B.S. in Computer Science
8+ years of experience in designing and building data serving infrastructure and/or machine learning platforms
Strong track record working with machine learning systems and platforms
Strong understanding of computer science fundamentals
Fluency in Java and Python (C++ experience is a plus)
Experience with feature engineering and management platforms

Responsibilities

Help define and own the roadmap for Snowflake Feature Store, working collaboratively with senior architects and ML team leadership
Build and execute a vision for incorporating new advances in machine learning and GenAI
Ensure operational excellence of services and meet reliability, availability, and performance commitments
Collaborate across ML partner teams to improve development velocity and capabilities
Support team members in delivering high technical quality

Skills

Key technologies and capabilities for this role

JavaPythonC++Feature EngineeringMachine Learning PlatformsData Serving InfrastructureGenAI

Questions & Answers

Common questions about this position

What is the salary range for this Senior Software Engineer position?

The salary range is $222K - $295K.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need a B.S. in Computer Science, 8+ years of experience in designing and building data serving infrastructure and/or machine learning platforms, strong track record with ML systems, strong CS fundamentals, and fluency in Java and Python.

What is the company culture like at Snowflake?

Snowflake values innovation, challenging ordinary thinking, pushing the pace of innovation, and building a future together, with a focus on confidentiality, security, and scaling the team rapidly.

What makes a strong candidate for this position?

Strong candidates have a B.S. in Computer Science, 8+ years building data serving infrastructure or ML platforms, experience with feature engineering platforms, fluency in Java and Python, and excitement about building systems from the ground up in machine learning and GenAI.

Snowflake

Data management and analytics platform

About Snowflake

Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.

Bellevue, WashingtonHeadquarters

2012Year Founded

$1,341.3MTotal Funding

IPOCompany Stage

Data & Analytics, Enterprise Software, AI & Machine LearningIndustries

5,001-10,000Employees

Benefits

We've got your back - We offer comprehensive health insurance plans, health savings accounts, robust retirement plans, and generous life and disability insurance.

A Balanced Lifestyle - All Snowflakes have access to our weekly online lunch and learns, virtual workout classes, and ergonomic work-from-home equipment. We offer on-demand mental health and wellness programs to support our employees and their families.

Your People Matter - Help offset the cost of growing your family with our fertility benefits and family planning resources. Count on our generous time-off and various leave plans for you to rest, refuel, and sustain a great work-life balance.

Global Snowflake Team - No matter where you are in the world, we will get you connected and supported with a work-from-home setup.

Treat Yourself - Personalize your Snowflake benefits by tapping into our employee discounts and pre-tax selections.

Invest In Your Future - Eligible employees enjoy new hire equity, Employee Stock Purchase Plan (ESPP), and a quarterly bonus or commission program.

Risks

Integration challenges from Datavolo acquisition may disrupt operations and customer service.

Increased competition from Mistral AI could challenge Snowflake's market position.

Convertible senior notes pricing may increase financial pressure if market conditions worsen.

Differentiation

Snowflake offers a unified platform for diverse data workloads, unlike traditional solutions.

The AI Data Cloud enables near-unlimited scale and performance for data mobilization.

Snowflake's seamless multi-cloud experience ensures efficient data operations across locations.

Upsides

Acquisition of Datavolo enhances Snowflake's open data integration capabilities.

Investment in Metaplane boosts AI-driven data quality solutions for Snowflake users.

Snowflake Ventures' investment in Hex expands accessibility of data tools to non-technical users.

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