Security ML - Senior Machine Learning Engineer


At Elastic, we see endless possibility in a world of endless data. And we use the power of search to help people and organizations turn that possibility into results. Elastic is the leading platform for search-powered solutions. With solutions in Enterprise Search, Observability, and Security, we help improve customer and employee search experiences, keep critical applications running smoothly, and protect against cyber threats. Elastic enables organizations worldwide to use the power of Elastic, including Netflix, Uber, BBC, Microsoft, and thousands of others.

Elastic was built on a foundation of being free and open, which trickles down to how we work. We’re a distributed organization and have been from the beginning. Being distributed isn’t just a way of doing business—it’s a mentality that is at the core of our culture.

The Elastic Security Machine Learning team is looking for a Senior Machine Learning Engineer to lead the maturation of our model training pipeline. You will work closely with Data Engineers and Data Scientists to identify model blindspots, detect drift patterns, and confidently label never-before-seen samples.

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 Security Machine Learning 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
  • 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 CI/CD 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

The typical starting Total Cash Compensation range for new hires in this role is between $126,800 and $174,400, which consists of a Base Salary or a Base Salary plus a Target Commission, depending on the specific role. The Base Salary offered may vary depending on factors including skills and experience.

Additionally, this role is currently eligible to participate in Elastic’s equity plan as well as a range of health & wellbeing, retirement savings, and other benefits within a holistic total rewards offering.

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

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.

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