Senior Machine Learning Scientist (Security) at Snowflake

Menlo Park, California, United States

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$152,000 – $224,200Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SecurityIndustries

Requirements

High levels of curiosity, eager enthusiasm & demonstrable experience working on open-ended problems
Exceptional problem solving skills with the ability to think strategically
Demonstrable experience and interest in problem formulation based on relatively abstract information
High levels of adaptability, to respond to fast-evolving project scope, adjusting strategies & plans accordingly; comfortable being scrappy
Experience building AI & LLM based applications in a business environment; up to date with advancements in the Gen-AI space, in an applied sense with techniques such as RAG, AI Assistants and Agentic workflows
Solid understanding of NLP techniques and embedding methods, foundational models and model fine-tuning; with experience in developing conversational AI or agentic AI workflows that allow models to take autonomous actions
Experience applying machine learning or statistical modeling on large datasets; pre-processing, data quality, feature engineering
Deep understanding of the basic classes of ML algorithms, statistics & linear algebra; with a keen interest in the underlying theory & assumptions
Experience writing production-quality, scalable code using Python. Strong with the software development lifecycle and its best practices
Experience & a point-of-view for designing and developing end-to-end turn key ML solutions, enablement & adoption baked into the solution. Also experience iterating on ideas and deliverables
Ability to articulate results and complex concepts to all audiences. Ability to collaborate and influence leadership
Demonstrate keen senses of ownership, collaboration and mentorship
Demonstrate leadership, with the ability to inspire the team & lead a project to completion

Responsibilities

Lead projects; Conceptualize, design and lead the execution of large AI & ML projects, aligning with the business goals, delivering measurable value & impact
Engage with stakeholders; lead the conversations with technical & non-technical stakeholders; identify areas where one can apply AI & ML; facilitating discussions around key drivers for decision making & operational efficiencies
Provide technical & thought leadership; designing and implementing advanced machine learning techniques, focusing on robust & scalable solutions. Participate in all stages of development, ideation to production
Provide mentorship; to junior ML & Data Scientists, around problem formulation, technical design, algorithm choices & code quality
Develop hands-on; analyze large amounts of data, manage data quality, design & develop complex ML models (and the ensuing ML solutions) including ML pipelines, deploy & manage production-grade applications end-to-end, and tell the story in a compelling manner
Partner with customers; showcase internal solutions to customers, help them envision solutions stringing Snowflake platform capabilities together, partner with internal teams that enable customer solutions

Skills

Machine Learning

Python

ML Pipelines

Data Analysis

Structured Data

Unstructured Data

Scalable ML

Production Deployment

Stakeholder Engagement

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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