Elastic Senior Machine Learning Engineer in Minneapolis, Minnesota
Elastic is a search company built on a free and open heritage. Anyone can use Elastic products and solutions to get started quickly and frictionlessly. Elastic offers three solutions for enterprise search, observability, and security, built on one technology stack that can be deployed anywhere. From finding documents to monitoring infrastructure to hunting for threats, Elastic makes data usable in real time and at scale. Thousands of organizations worldwide, including Cisco, eBay, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems. Founded in 2012, Elastic is a distributed company with Elasticians around the globe and is publicly traded on the NYSE under the symbol ESTC. Learn more at elastic.co .
What you’ll do:
Support ongoing efforts to improve data quality and ML model training automation, as well as observability and reproducibility of ML models
Collaborate within the Data Science team, and with members of other teams, especially Data Engineering
Promote long-term vision for monitoring performance of deployed models to identify concept drift and determine retraining cadence
Determine how to improve models over time by leveraging implicit and explicit feedback
Be comfortable working in a fully-remote environment
Be able to communicate clearly to diverse groups of stakeholders coming from different disciplines, timezones, and programming language preferences
Willingness to learn new things and ask for help
Proficient Python programming skills
Experience with writing and running tests (unit tests, integration tests, regression tests)
Experience with performing data analysis as required to support data quality decisions
Ability to both give and receive helpful code reviews
Bonus points for:
Experience in Security
Experience with AWS or other cloud platforms
Experience with Jenkins or other CICD tooling
Working knowledge of deep learning, clustering, and/or graph algorithms
Experience designing, training, and evaluating models using popular ML frameworks
Additional Information - We Take Care of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
Competitive pay based on the work you do here and not your previous salary
Health coverage for you and your family in many locations
Ability to craft your calendar with flexible locations and schedules for many roles
Generous number of vacation days each year
Double your charitable giving - We match up to $1500 (or local currency equivalent)
Up to 40 hours each year to use toward volunteer projects you love
Embracing parenthood with minimum of 16 weeks of parental leave
Different people approach problems differently. We need that. Elastic is committed to diversity as well as inclusion. We are an equal opportunity employer and committed to the principles of affirmative action. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status or any other basis protected by federal, state or local law, ordinance or regulation. If you require any reasonable accessibility support, please complete our Candidate Accessibility Request Form (https://docs.google.com/forms/d/e/1FAIpQLSfiV7br5dGLslC__KPuDNBii1x6cQnlm59L8b4293O2eFxbMA/viewform) .