Senior MLOps Developer

Summary

Join Elastic's Security ML team as a Senior MLOps Engineer to build and ship AI/ML solutions for security products. Collaborate with researchers, engineers, and data scientists to improve data quality, automate model training, and enhance model observability. Promote a long-term vision for model monitoring and identify opportunities to improve model performance. Leverage implicit and explicit feedback to refine models over time. Work in a fully remote environment and communicate effectively with diverse stakeholders. Apply your expertise to secure the world's data from attacks.

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
• 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

Responsibilities

• 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

Preferred Qualifications

• 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

Benefits

• 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
• Elastic's stock program
• Company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings