Distributed, Canada
Posted 26 days ago
powertofly approved What Elastic Has to Offer:

Elastic is the company behind the Elastic Stack - Elasticsearch, Kibana, Beats, and Logstash. From stock quotes to Twitter streams, Apache logs to WordPress blogs, Elastic helps people explore and analyze their data differently using the power of search. 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. Elastic offers their employees benefits like:

  • 401(k) / Retirement Plan
  • Minimum 16 weeks of parental leave
  • Health coverage & vision insurance
  • Flexible locations & schedules
  • Work from home policy
  • Generous vacation time & paid holidays
  • 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

    Requirements:

    • 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
    Mission
    We're connecting diverse talent to big career moves. Meeting people who boost your career is hard - yet networking is key to growth and economic empowerment. We’re here to support you - within your current workplace or somewhere new. Upskill, join daily virtual events, apply to roles (it’s free!).
    Are you hiring? Join our platform for diversifiying your team
    Senior Machine Learning Engineer