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Senior Machine Learning Engineer - Snowflake Computing
View Company Profile- Job Title
- Senior Machine Learning Engineer
- Job Location
- Toronto, Ontario, Canada
- Job Description
Build the future of data. Join the Snowflake team.
Snowflake is a global platform where thousands of organizations store and process their data. Our Data Marketplace allows our customers to exchange data across geographies, organizations and cloud providers. Our customers expect high quality data and applications that they can rely on. As part of our Marketplace Trust and Quality team, we will be utilizing cutting-edge LLM/GenAI, Deep Learning and classical ML to build a highly automated and reliable content moderation system.
We are looking for outstanding ML engineers who will play a pivotal role in this journey by understanding Snowflake’s Marketplace platform architecture and harnessing state of the art AI to improve the quality of our content and increase customer trust. Join us to define strategies, set technical directions, design and execute, engage and deliver innovation and unlock the power of Data for AI for thousands of customers.
This position is based in Toronto, ON Canada.
RESPONSIBILITIES:
- Help define and own the roadmap for ML & AI for Marketplace Trust, working collaboratively and proactively with senior architects, PMs and team leadership. The initiatives include platforms and tools that review, moderate, approve and modify content on Snowflake Data Marketplace platform
- Investigate, evaluate, compare and fine-tune multiple Large Language Models (LLM) to deliver maximum value to Snowflake’s customers
- Design, build and maintain experimentation framework
- Help define and implement benchmarks and metrics for model performance
- Define and implement experimentation-to-production process
- Own production ML Ops, metrics, monitoring, alarming and logging
- Collaborate across other engineering partner teams to continuously improve ML development velocity and capabilities at Snowflake.
- Support team members in delivering a high level of technical quality.
IDEAL REQUIREMENTS & QUALIFICATIONS:
- Have 5+ years of industry experience designing and building infrastructure, machine learning platforms, machine learning services and frameworks.
- Strong knowledge of Machine Learning foundations, neural networks, statistics and optimization
- Strong track record of working with machine learning systems and/or platforms.
- Experience with several of the following frameworks: Pandas, NumPy, SKLearn, XGBoost, LightGBM, PyTorch, Tensorflow, Keras.
- Fluent in both Python and Java.
- Have worked well with data scientists, business analysts and machine learning infrastructure to connect the dots between science, business and technology partners.
- BS/MS/PhD in Computer Science or related majors, or equivalent experience
LEARN MORE ABOUT SHARING AND MARKETPLACE FOUNDATIONS:
JOIN US ON OUR JOURNEY!
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
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Snowflake Computing Company Size
Between 2,002 - 20,000 employees
Snowflake Computing Founded Year
2012
Snowflake Computing Total Amount Raised
$2,029,355,520
Snowflake Computing Funding Rounds
View funding detailsPost Ipo Equity
$621,456,438 USD
Series G
$479,000,000 USD
IPO
$0
Series F
$450,000,000 USD
Series E
$263,000,000 USD
Series D
$105,000,000 USD
Series C
$79,000,000 USD
Series B
$26,000,000 USD
Series A
$4,999,111 USD
Seed
$899,999 USD