Senior MLOps Developer

Referral Board; Canada; Remote; CAD 128,000 - 203,000; Full time

Job summary

Join a forward-thinking company as a Senior MLOps Engineer, where you'll innovate and build AI-driven security solutions. Collaborate with a diverse team to enhance data quality and automate ML processes, ensuring robust security against emerging threats. This role offers competitive compensation and a holistic benefits package, including health coverage and flexible work arrangements. If you're passionate about machine learning and data science, this is your chance to make a significant impact in a supportive and inclusive environment.

Benefits

Health coverage for family

Flexible work locations

Generous vacation days

Parental leave of 16 weeks

Company-matched retirement savings plan

Volunteer project hours

Financial donation matching

Qualifications

• Experience with writing and running tests for ML models.
• Comfortable working in a fully-remote environment.
• Ability to communicate with diverse stakeholders.

Responsibilities

• Support ML model training automation and observability.
• Collaborate with Data Science and Engineering teams.
• Monitor performance of deployed models for improvements.

Skills

Machine Learning

Data Analysis

AWS

GCP

Kubernetes

Security

CICD Tooling

Deep Learning

Clustering Algorithms

Graph Algorithms

Education

Bachelor's Degree

Master's Degree

Tools

Airflow

Buildkite

Job description

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

What Is The Role:

Elastic Security focuses on AI driven Security solutions across our SIEM and Endpoint products. The Security ML team researches, designs, and builds AI and ML solutions and drives innovation in this domain. We are looking for a Senior MLOps Engineer to join our ML team and continue to innovate, build and ship new models that will help secure our users against the latest emerging threats. You will collaborate with the broader Elastic Security team, which consists of a diverse group of skilled researchers, ML engineers, data scientists, and developers who possess extensive domain expertise in their respective areas. Our geographically dispersed team values positivity and inclusion in the workplace, collaborative learning, and candid communication.
If you are passionate about ML and Data Science and would like to apply your expertise to secure world's data from attacks, we would love to have you join our growing team!

What you’ll be doing:

• 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

What you bring:

• 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
• 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

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.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

The typical starting salary range for this role is:

$128,300 - $203,000 CAD

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
• 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 minimum of 16 weeks of parental leave

Different people approach problems differently. We need that. Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email [e-mail] We will reply to your request within 24 business hours of submission.

Elasticsearch develops and distributes encryption software and technology that is subject to U.S. 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.

Please seehere for our Privacy Statement.

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