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
About the Team:
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 Security Engineer with Data Science experience to join our ML team and continue to innovate and build 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 security research as well as data science and would enjoy the challenge of mixing your security expertise with your analytics driven from data science, we would love to have you join our growing team!
What You Will Be Doing:
- 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.
What You Bring Along:
- Experience building Security solutions (Endpoint, Network, UEBA, etc.).
- Proficiency in 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.
- Be comfortable working in a fully-remote environment.
- Be able to communicate clearly to diverse groups of stakeholders coming from different disciplines, time zones, and programming language preferences.
- Willingness to learn new things and ask for help.
Bonus Points:
- Experience designing, training, and evaluating models using popular ML frameworks.
- Experience with AWS or GCP.
- Experience with Kubernetes.
- Experience with Buildkite or other CICD tooling.
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.
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 candidate_accessibility@elastic.co.
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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