Senior MLOps Engineer

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 MLOps 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’ll 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 Data Science 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:

• 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
• Proficient Python programming skills 
• Experience with writing and running tests (unit tests, integration tests, regression tests)
• Experience with AWS or GCP
• Experience with Airflow, Buildkite or other CICD tooling
• 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 Kubernetes
• Working knowledge of deep learning, clustering, and/or graph algorithms
• Experience designing, training, and evaluating models using popular ML frameworks

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.  In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified 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 401k 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:$133,100—$210,600 USDThe typical starting salary range for this role in the select locations listed above is:$159,900—$252,900 USD

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