Protections - Principal Machine Learning Engineer


Elastic is a search company built on a free and open heritage. Anyone can use Elastic products and solutions to get started quickly and frictionlessly. Elastic offers three solutions for enterprise search, observability, and security, 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 Cisco, eBay, 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 and is publicly traded on the NYSE under the symbol ESTC. Learn more at

The Elastic Security Data Science team is looking for a Principal ML Engineer to develop model pipelines to support our supervised and unsupervised machine learning technologies. These models detect and prevent malicious activity across Windows, macOS, and Linux endpoints and identify anomalous events in the Elastic Security product. We value autonomy, curiosity, fastidiousness, and questioning the status quo. You will collaborate with the broader Elastic Protections team, a diverse set of security researchers and data engineers who lend domain expertise to work with you to solve creative security problems.

Your responsibilities:

  • Working as part of the Protections team at Elastic, with other machine learning authorities, data engineers, and security researchers
  • Your primary focus will be leading the development of scalable, reproducible ML pipelines to support Elastic Security’s malware detection and anomaly detection features.
  • Introduce best practices and testing standards to increase robustness across all deployed models.
  • Work with data engineers to optimize processes for rapid prototyping of ML features: including data ingest, cleaning, featurization, and model training.
  • Deploy models under scalability, resource constraints, and efficacy requirements.
  • Gather implicit and explicit feedback from the platform we can collect to improve model performance over time.
  • Design and develop data-driven solutions that can run on millions of endpoints, cloud-based infrastructure, or the Elastic SIEM.

Skills you will bring

  • 8+ years machine learning experience; strong preference for a focus on delivering models to production environments.
  • Working knowledge of deep learning, clustering, and graph algorithms
  • Experience with machine learning pipeline technologies such as Airflow, Pachyderm, Prefect, etc. 
  • Experience using or developing data pipelines, including the collection, normalization, storage, and API access of complex event data
  • Proficient Python programming skills and experience using ML-related libraries
  • Ability to synthesize evaluation metrics, customer feedback, and internal analysis to tell a clear story of model performance
  • Enthusiasm for providing novel contributions to the information security research community on machine learning techniques
  • Ability to work in a fast-paced and highly autonomous environment

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 complete our Candidate Accessibility Request Form.

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