Senior ML Architect, Applied Field Engineering

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

Requirements

Candidates must have 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud, with MLOps experience on a major ML platform. Hands-on scripting experience with Python and libraries like Pandas, HuggingFace, XGBoost, PyTorch, TensorFlow, or SciKit-Learn is required. Strong skills in data cleansing, feature engineering, model performance optimization, and MLOps are essential. The role demands the ability to present effectively to both technical and executive audiences. A Bachelor's Degree is required, with a Master's Degree in a related field or equivalent experience preferred. Experience with LLM ecosystem tools, large-scale IaaS platforms, and Snowflake is a plus.

Responsibilities

The Senior ML Architect will provide strategic and technical advisory, and hands-on expertise to design and architect AI ML solutions on the Snowflake AI Data Cloud. This role involves being the technical expert for customers, partnering with account teams to drive POCs to success, and building compelling AI ML demos. Responsibilities also include collaborating with product and engineering teams to influence roadmaps, publishing content to scale knowledge, and influencing/maintaining sales engineering AI and ML selling assets. All employees must adhere to company confidentiality and security standards.

Skills

Machine Learning

Generative AI

Cloud Solutions

MLOps

Databricks

SageMaker

CI/CD

Git

Technical Advisory

Solution Architecture

Data Science

AI Data Cloud

POC Development

Demo Creation

Content Publishing

Sales Engineering

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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