Senior Software Engineer, Snowflake
Machine Learning Platform
$214-327.8k
+ Bonus and Equity
3-5 days a week in office (Menlo Park, CA)
AI Data Cloud for data sharing and app building
Job no longer available
AI Data Cloud for data sharing and app building
1001+ employees
Job no longer available
$214-327.8k
+ Bonus and Equity
3-5 days a week in office (Menlo Park, CA)
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- Have 8+ years of industry experience designing, building, and supporting Internet serving infrastructure, machine learning platforms, machine learning services and frameworks
- Strong track record of working with machine learning systems and/or platforms
- Experience with several of the following frameworks: SKLearn, XGBoost, PyTorch, Tensorflow
- Strong understanding of computer science fundamentals
- Have built a roadmap and vision around machine learning teams, and led technical decision making with help of architects and PMs and team
- Have led multiple engineers in delivering large, high impact projects
- Fluent in Python. C++ and Java experience is a plus
- Have worked well with data scientists, business analysts and machine learning infrastructure to connect the dots between business and technology partners
- A growth mindset and excitement about breaking the status quo by seeking innovative solutions
- BS/MS/PhD in Computer Science or related majors, or equivalent experience
What the job involves
- The Snowflake Machine Learning Platform team’s mission is to enable customers to bring their machine learning and deep learning workloads to Snowflake
- Our customers want to build powerful models with the ever increasing data in Snowflake but face several challenges including infrastructure optimizations, orchestration, performance and security. The team aims to solve these challenges by building highly integrated platform solutions that are simple, secure and enable end to end ML workflows
- We are on an early journey to build the most scalable machine learning and data platform without sacrificing the benefits of a single platform and governance
- We are looking for outstanding technical leaders 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 machine learning workloads, including LLMs
- Join us to define strategies, set technical directions, design and execute, engage and deliver innovation and unlock the power of AI for thousands of enterprise customers
- Help define and own the roadmap, working collaboratively and proactively with senior architects, PMs and team leadership. The initiatives include platforms and tools that enable customers to do state of the art machine learning on Snowflake natively
- Collaboratively build and execute a vision for incorporating new advances in machine learning in ways that best achieve the team’s business objectives
- Ensure operational excellence of the services and meet the commitments to our customers regarding reliability, availability, and performance
- Collaborate across other ML partner teams to continuously improve ML development velocity and capabilities at Snowflake
- Support team members in delivering a high level of technical quality
- Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential
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
Insights
37% employee growth in 12 months
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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