[Remote] Senior ML Architect, Applied Field Engineering at Snowflake

United States

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$155,600 – $216,600Compensation

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

Full TimeJob Type

UnknownVisa

Data Cloud, Cloud Computing, Artificial Intelligence, AI & Machine LearningIndustries

Skills

Key technologies and capabilities for this role

Machine LearningGenerative AICloud SolutionsMLOpsDatabricksSageMakerCI/CDGitTechnical AdvisorySolution ArchitectureData ScienceAI Data CloudPOC DevelopmentDemo CreationContent PublishingSales Engineering

Questions & Answers

Common questions about this position

What is the salary range for the Senior ML Architect role?

The salary range is $155.6K - $216.6K.

Is this position remote?

Yes, this is a remote position.

What skills are required for this role?

Required skills include 5+ years building and deploying ML and generative AI solutions in the cloud, MLOps experience on platforms like Databricks or SageMaker, hands-on Python scripting with libraries like Pandas, HuggingFace, PyTorch, and strong AI/ML engineering skills in data cleansing, feature engineering, model optimization, and MLOps.

What is the team structure like for this role?

This role works closely with cross-functional teams including product, engineering, the broader field organization, Snowflake account teams, and customer champions.

What makes a strong candidate for this position?

Strong candidates have 5+ years of ML and generative AI experience, MLOps expertise, Python proficiency with key libraries, AI/ML engineering skills, and strong presentation abilities to technical and executive audiences; bonus for LLM tools like LangChain and Snowflake 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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