Elastic Senior MLOps Developer 

Canada 

18788210

• 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
• Proficient Python programming skills
• Experience with writing and running tests (unit tests, integration tests, regression tests)
• Experience with AWS or GCP
• Experience with Airflow, Buildkite or other CICD tooling
• Experience with performing data analysis as required to support data quality decisions
• Ability to both give and receive helpful code reviews

• Experience in Security
• Experience with Kubernetes
• Working knowledge of deep learning, clustering, and/or graph algorithms
• Experience designing, training, and evaluating models using popular ML frameworks

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
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with a minimum of 16 weeks of parental leave

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Elasticsearch develops and distributes technology and information that is subject to U.S. and other country export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic

Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

The typical starting salary range for this role is:

$128,300—$203,000 CAD