AI Applied Scientist, Code Intelligence at Snowflake

Menlo Park, California, United States

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$200,000 – $287,500Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

MS or PhD in Computer Science (or related field)
Strong Python skills and fluency with a commonly used ML stack (e.g., PyTorch and XGBoost or similar)
Hands-on experience building ML data pipelines, plus a habit of rigorous evaluation and experiment design
Familiarity with serving stacks and vector stores; comfort learning what you don’t know
Eagerness to learn build systems and CI/CD. Previous experience with build systems and CI/CD is a plus but not required
Bonus (nice to have—not all required): LLMs for code, program analysis/ASTs, retrieval/RAG, prompt engineering & eval, large-scale A/B testing, backend/service development, and familiarity with OLAP systems like Snowflake

Responsibilities

Build AI features that move the needle on developer outcomes—accelerating PR cycle time and time-to-first-commit, reducing review latency and defects, improving test coverage, and raising developer satisfaction
Design and deliver systems in three focus areas: automated testing, code review assistance, and coding agents that integrate with repos and workflows
Prototype quickly and iterate, then productionize and harden solutions for reliability, performance, and safety, with a strong bias toward shipping impact
Develop end-to-end ML pipelines: data preparation, training/fine-tuning, evaluation, and online serving—including experiment design, telemetry, and A/B measurement
Collaborate closely with Engineering Systems (our developer productivity team) to integrate into build, test, and deployment workflows
Write clear, maintainable Python and work across the stack to design, implement, and debug components from modeling to services and evaluation harnesses
Contribute to a culture of high-quality engineering: code health, documentation, and grounded decision-making informed by data
Write technical blogs and research papers to share your findings
Follow the company’s confidentiality and security standards for handling sensitive data and abide by the company’s data security plan

Skills

Machine Learning

Python

ML Pipelines

Fine-tuning

A/B Testing

Code Review

Automated Testing

Coding Agents

Data Preparation

Model Evaluation

Online Serving

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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