Elastic is an open source search company that powers enterprise search, observability, and security solutions 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 Barclays, Cisco, eBay, Fairfax, ING, 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. Learn more at elastic.co

What you’ll do:

Contribute to developing ML solutions for Endpoint Security
Perform data analysis on our sources to identify new solutions and improvements
Collaborate within the Security ML team, and with members of other teams to build, ship, and maintain ML models
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

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
Willingness to learn new things and ask for help
Experience designing, training, and evaluating models using popular ML frameworks
Working knowledge of deep learning, clustering, and/or graph algorithms
Proficient Python programming skills
Experience with building Endpoint Security solutions
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 with AWS or GCP
Experience with Kubernetes
Experience with Buildkite or other CICD tooling

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 email [email protected].

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.

Please see here for our Privacy Statement.

Apply for this job

Referral Board is hiring a

Machine Learning Developer

Additional Information - We Take Care of Our People