Senior Software Engineer - Machine Learning Platform at Snowflake

Menlo Park, California, United States

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$195,000 – $250,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Cloud Computing, Artificial IntelligenceIndustries

Requirements

8+ years of industry experience designing, building, and supporting Internet serving infrastructure, machine learning platforms, machine learning services and frameworks
Strong track record of working with machine learning systems and/or platforms
Experience with several of the following frameworks: SKLearn, XGBoost, PyTorch, Tensorflow
Strong understanding of computer science fundamentals
Have built a roadmap and vision around machine learning teams, and led technical decision making with help of architects and PMs and team
Have led multiple engineers in delivering large, high impact projects
Fluent in Python. C++ and Java experience is a plus
Have worked well with data scientists, business analysts and machine learning infrastructure to connect the dots between business and technology partners
A growth mindset and excitement about breaking the status quo by seeking innovative solutions
BS/MS/PhD in Computer Science or related majors, or equivalent experience

Responsibilities

Help define and own the roadmap, working collaboratively and proactively with senior architects, PMs and team leadership. The initiatives include platforms and tools that enable customers to do state of the art machine learning on Snowflake natively
Collaboratively build and execute a vision for incorporating new advances in machine learning in ways that best achieve the team’s business objectives
Ensure operational excellence of the services and meet the commitments to our customers regarding reliability, availability, and performance
Collaborate across other ML partner teams to continuously improve ML development velocity and capabilities at Snowflake
Support team members in delivering a high level of technical quality

Skills

Key technologies and capabilities for this role

Machine LearningDeep LearningLLMsPlatform ArchitectureOrchestrationInfrastructure OptimizationPerformance TuningSecurityScalabilityML WorkflowsSnowflake

Questions & Answers

Common questions about this position

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

The salary range is $195K - $250K.

Is this role remote or does it require working from an office?

This position is based in Bellevue, WA and Menlo Park, CA.

What skills and experience are required for this role?

Candidates need 8+ years of experience designing and building machine learning platforms, strong track record with ML systems, experience with frameworks like SKLearn, XGBoost, PyTorch, Tensorflow, strong CS fundamentals, fluency in Python, and leadership in delivering high-impact projects.

What is the team culture like at Snowflake's Machine Learning Platform team?

The team emphasizes collaboration with senior architects, PMs, and leadership to define roadmaps, build visions for ML advances, ensure operational excellence, and support team members in delivering high technical quality, with a growth mindset focused on innovation.

What makes a strong candidate for this position?

Strong candidates have led multiple engineers on large high-impact projects, built roadmaps and visions for ML teams, collaborated with data scientists and business partners, and demonstrate technical leadership in machine learning platforms.

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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