Senior Machine Learning Engineer

Canada

Applications have closed

Elastic

Power insights and outcomes with the Elasticsearch Platform and AI. See into your data and find answers that matter with enterprise solutions designed to help you build, observe, and protect. Try Elasticsearch free today.

View company page

Elastic is a free and open search company that powers enterprise search, observability, and security solutions 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 Barclays, Cisco, eBay, Fairfax, ING, 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. 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

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 email candidate_accessibility@elastic.co.

Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Equal Employment Opportunity (EEO) Poster; and Employee Polygraph Protection Act (EPPA) Poster.

Please see here for our Privacy Statement.

Tags: AWS Data analysis Deep Learning Engineering Machine Learning ML models Model training Python Security

Perks/benefits: Career development Competitive pay Flex hours Flex vacation Health care Medical leave Parental leave Salary bonus

Region: North America
Country: Canada
Job stats:  4  1  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.