Software Engineer, Snowflake

Machine Learning Platform

$157-230k

+ This role is eligible to participate in Snowflake’s bonus and equity plan.

Kubernetes

Python

Java

Tensorflow

C++

Jenkins

PyTorch

Junior and Mid level

San Francisco Bay Area

3-5 days a week in office (Menlo Park, CA)

AI Data Cloud for data sharing and app building

Open for applications

AI Data Cloud for data sharing and app building

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Open for applications

$157-230k

+ This role is eligible to participate in Snowflake’s bonus and equity plan.

Kubernetes

Python

Java

Tensorflow

C++

Jenkins

PyTorch

Junior and Mid level

San Francisco Bay Area

3-5 days a week in office (Menlo Park, CA)

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Company mission

On a mission to mobilize the world's data.

Job

Company

Role

Who you are

Have 2+ years of industry experience designing, building, and supporting machine learning platforms, machine learning services & frameworks or data intensive systems
Working experience with several of the following frameworks: SKLearn, XGBoost, PyTorch, Tensorflow
Fluent in Python. C++, Java, Go experience is a plus
Familiarity with Kubernetes (K8s) for container orchestration and scaling, plus experience setting up and maintaining CI/CD pipelines (e.g., Jenkins, GitLab, GitHub Actions), is a plus
A growth mindset and excitement about breaking the status quo by seeking innovative solutions
BS in Computer Science or related degree; Masters or PhD Preferred

What the job involves

The Snowflake Machine Learning Platform team’s mission is to enable customers to bring their ML/AI workload to Snowflake
Our customers want to leverage ML/AI to extract business values from ever increasing data in Snowflake but face several challenges including infrastructure management, scaling, orchestration, performance and security
The team aims to solve these challenges by building highly integrated platform solutions that are simple, secure and scalable to enable end to end ML workflows
We are on an early journey to build the best machine learning and data platform for Snowflake customers without sacrificing the benefits of a single platform and governance
We are looking for a driven engineer who will play a pivotal role in this journey by understanding Snowflake’s core platform architecture and evolving it to enable state of the art ML/AI workloads
Join us to design and execute, engage and deliver innovation and unlock the power of AI for thousands of enterprise customers
Design easy-to-use & intuitive APIs & systems for ML experts and non-experts to accelerate the E2E ML development and production lifecycle
Design and optimize systems to scale up and out ML data and training
Collaboratively build and execute a vision for incorporating new advances in machine learning in ways that best achieve the customers’ business objectives
Be a strong contributor to the product vision and team planning
Build operational and release rigor with every feature/bug fix deployments

Our take

Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organizations of all sizes from unleashing the true value of their data.

The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.

Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 9 rounds)

Feb 2020

$479m

LATE VC

Oct 2018

$450m

LATE VC

Total funding: $1.4bn

Company benefits

Comprehensive health insurance plans
Health savings accounts
Robust retirement plans
Life and disability insurance
Weekly online lunch and learns
Virtual workout classes
Ergonomic work-from-home equipment
On-demand mental health and wellness programs
Fertility benefits and family planning resources
Generous time-off and various leave plans
Onsite and Remote Work
Employee discounts and pre-tax selections
New hire equity + Employee Stock Purchase Plan (ESPP)
Quarterly bonus or commission program

Company HQ

Bozeman, MT

Leadership

Benoit Dageville

(Co-Founder)

Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.

Thierry Cruanes

(Co-Founder)

Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.

Sridhar Ramaswamy

(Chief Executive Officer)

Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.

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