Security - Senior Machine Learning Developer

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

What is The Role:

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 Machine Learning Engineer to join our ML team and continue to innovate, build and ship 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 ML and Data Science and would like to apply your expertise to secure world's data from attacks, we would love to have you join our growing team!

What You Will Be Doing:

• 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 ML 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.
  
  

What You Bring:

• Proficient Python programming skills.
• Experience designing, training, and evaluating supervised and unsupervised models using popular ML frameworks.
• Working knowledge of deep learning and clustering algorithms.
• Track record of shipping models to production.
• 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, timezones, and programming language preferences.
• Willingness to learn new things and ask for help.
  
  

Bonus Points:

• Experience in Security.
• Experience with AWS or GCP.
• Experience with BigQuery.
• Experience with Airflow or other CICD tooling.
• Experience with monitoring ML models in production.
• Working knowledge of graph algorithms.
• Experience with Kubernetes.
  
  

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
• 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 a minimum of 16 weeks of parental leave
  
  

Different people approach problems differently. We need that. Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email [email protected] We will reply to your request within 24 business hours of submission.

Applicants have rights under Federal Employment Laws; view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)

Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.

Please see here for our Privacy Statement.

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.

The typical starting salary range for this role is:

$128,300—$203,000 CAD