Senior Machine Learning Scientist, Snowflake
$148-218.5k
+ Bonus plan + Equity plan
3-5 days a week in office (San Mateo, CA)
Cloud data platform providing data warehouse-as-a-service for the cloud
Job no longer available
Cloud data platform providing data warehouse-as-a-service for the cloud
1001+ employees
Job no longer available
$148-218.5k
+ Bonus plan + Equity plan
3-5 days a week in office (San Mateo, CA)
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- High levels of curiosity and eager enthusiasm for open-ended problems
- Experience and interest in problem formulation based on relatively abstract information
- 7+ years experience applying machine learning or statistical modeling on large-scale datasets and in pre-processing and analyses of data
- Firm understanding of the basic classes of ML algorithms and their underlying assumptions including statistics and linear algebra
- Ability to break complex problems down into sizable pieces and work towards them
- Technical expertise in one or more of the following topics: Anomaly Detection, Clustering, Time-Series Analysis & Forecasting, Natural Language Processing, Uncertainty Quantification
- Domain knowledge and experience in the application of ML to one of the following areas Sales, Sales Engineering, Security etc.,
- 5+ years experience writing production-quality, scalable code using Python and knowledge of the software development lifecycle and best practices
- Expert level knowledge working with libraries such as scikit-learn, pandas, etc., SQL and Airflow
- Demonstrate keen senses of ownership, collaboration and mentorship
- Ability to articulate results and complex concepts to leadership
- Required to adapt quickly to changing project scope while delivering value
- Ability to articulate results and complex concepts to all audiences. Ability to collaborate and influence leadership
- Demonstrate leadership, with the ability to inspire the team & lead a project to completion
What the job involves
- We’re looking for a Senior ML Scientist to lead Snowflake's corporate machine learning function
- In this role, you will apply AI & ML to a variety of domain specific problems across Snowflake’s business data
- This is a generalist role and will provide an opportunity to work on a wide breadth of problems, applying a good mix of models & methods to structured & unstructured data, driving large-scale projects from idea to completion
- Work closely with stakeholders to understand the use-cases and identify areas where one can apply ML algorithms for the highest potential impact
- Research, design, and apply advanced ML algorithms using large-scale datasets. Leverage techniques such as reinforcement learning, deep learning, tree-based methods, bayesian techniques, kernel/non-parametric methods, gradient boosting and generative models
- Own MLOps; deploy machine learning models into production systems, ensuring scalability and seamless integration
- Mentor & guide junior ML & data scientists, fostering a culture of continuous learning and growth within the team
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
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 values
- Put Customers First - We only succeed when our customers succeed
- Integrity Always - Be open, honest and respectful
- Think Big - Be ambitious and have big goals
- Be Excellent - Quality and excellence count in everything we do
- Get It Done - Results matter. Work hard and smart
- Own It - Build our product and our company like it’s yours, because it is
- Make Each Other the Best - Treat people with kindness and respect
- Embrace Each Other's Differences - Accept and appreciate everyone from every walk of life
Company HQ
Bozeman, MT
Articles
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.
Salary benchmarks
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Diversity, Equity & Inclusion at Snowflake
- At Snowflake, embracing each others’ differences is a core value of our organization. We recognize and appreciate the importance of creating an environment in which all employees feel valued, included, and empowered to do their best work and bring great ideas to the table. Promoting the values of diversity and fostering an inclusive workplace culture takes each of us working together, caring deeply, and acting intentionally.
- Since Day 1, Snowflake and its culture belong to each of us, We “own it.” Owning it means we continually look for ways to improve and it’s in that spirit that our Diversity Council was formed. Our Council spans every functional area with an eye towards diverse representation across a range of demographics - 50% female, 50% persons of color, 21% LGBTQ, 7% persons with disabilities, and four generations. The Council narrowed in on three priority areas to focus our initiatives and impact positive change.
- 1. Enabling employee and community readiness by creating focus groups and using data to reveal deeper insights into our community and our specific needs and challenges to guide our future efforts and target initiatives.
- 2. Empowering employees’ voices by organizing outlets for conversation, spotlighting different employee stories, building mentorship programs, and supporting cultural inclusion.
- 3. Building external partnerships to broaden demographic representation in our candidate pipeline and educational partnerships to enable equitable opportunities for generations to come.
- As a company of action, we are committed to managing and measuring our forward progress around diversity and inclusion. And because we are a data company, the approach of gaining insights from the data, setting targets, measuring results, and iterating is in our DNA. We have put in place the foundational groundwork to ensure diversity, equity, and inclusion for right now and for the future of Snowflake.
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