Software Engineer - Machine Learning Platform at Snowflake

Menlo Park, California, United States

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$157,000 – $200,000Compensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

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, MLflow
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

Responsibilities

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 batch and real time inference
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

Skills

Key technologies and capabilities for this role

PythonSKLearnXGBoostPyTorchTensorFlowMLflowKubernetes

Questions & Answers

Common questions about this position

What is the salary range for this Software Engineer position?

The salary range is $157K - $200K.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need 2+ years of industry experience designing, building, and supporting machine learning platforms or data intensive systems, working experience with frameworks like SKLearn, XGBoost, PyTorch, Tensorflow, MLflow, and fluency in Python. Experience with C++, Java, Go, Kubernetes, and CI/CD pipelines is a plus. A BS in Computer Science or related degree is required, with Masters or PhD preferred.

What is the company culture like at Snowflake?

Snowflake values innovation, challenging ordinary thinking, pushing the pace of innovation, a growth mindset, and breaking the status quo with innovative solutions. The company is growing fast and seeks people who share these values to build a future for themselves and Snowflake.

What makes a strong candidate for this Machine Learning Platform Engineer role?

A strong candidate has 2+ years of experience with ML platforms or data intensive systems, hands-on work with ML frameworks like PyTorch or TensorFlow, Python fluency, and a growth mindset for innovation. Advanced degrees and experience with Kubernetes or CI/CD are advantageous.

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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