Software Engineer, Machine Learning – Engineering Systems and AI Research at Snowflake

Bellevue, Washington, United States

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$157,000 – $230,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

PhD or Master’s degree in Computer Science, Engineering, Statistics, or a related technical field, with research or industry experience in real-world machine learning applications
Proficiency in Python and core ML/data science frameworks including Pandas, NumPy, Scikit-Learn, XGBoost, PyTorch, and related ecosystem tools
Demonstrated hands-on experience solving applied ML problems end-to-end: data ingestion/preprocessing, feature and model selection, training, evaluation (with best practices on versioning, bias, and validation), deployment, and monitoring
Strong software engineering fundamentals: code quality, reproducibility, CI/CD best practices, debugging, testing, and documentation
Familiarity with ML operations (MLOps), data/feature versioning, and collaborative software development (Git, containers, etc.)
Strong communication and teamwork skills; able to describe technical tradeoffs and engage both research scientists and software engineers

Responsibilities

Partner across research and engineering to design, implement, and maintain machine learning systems that directly impact developer workflows and core platform efficiency
Develop, evaluate, and deploy ML models for automation in CI/CD pipelines, using real-world code and data from large, complex codebases
Build and optimize LLM-based tools for code review, quality automation, and developer assistance, from research prototype to robust production deployment
Contribute to the improvement of internal ML and data tooling, pipelines, and collaboration between AI Research and Engineering Systems
Collaborate on open-source releases, research publications, and developer community engagement efforts
Operate across the software lifecycle: requirements, design, implementation, delivery, testing, iteration, and support
Contribute to a culture of innovation, excellence, and inclusion in a collaborative and fast-paced environment

Skills

Key technologies and capabilities for this role

Machine LearningLLMsCI/CDML ModelsCode ReviewData PipelinesSoftware EngineeringML Deployment

Questions & Answers

Common questions about this position

What is the salary range for this Software Engineer position?

The salary range is $157K - $230K.

Is this role remote or does it require office work?

This information is not specified in the job description.

What skills are required for this Machine Learning Software Engineer role?

Required skills include proficiency in Python and ML frameworks like Pandas, NumPy, Scikit-Learn, XGBoost, PyTorch; end-to-end ML experience from data preprocessing to deployment; strong software engineering practices like CI/CD, testing, and documentation; and MLOps familiarity.

What is the company culture like for this team at Snowflake?

The team fosters a culture of innovation, excellence, and inclusion in a collaborative and fast-paced environment.

What qualifications make a strong candidate for this role?

A PhD or Master’s in Computer Science, Engineering, Statistics or related field with ML experience, plus strong Python/ML framework proficiency and end-to-end ML/software engineering skills, positions candidates strongly; bonus for LLM or developer productivity ML experience.

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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