Senior Machine Learning Developer

Elastic is a free and open 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:

Support ongoing efforts to improve data quality and ML model training automation, as well as observability and reproducibility of ML modelsCollaborate within the Security ML team, and with members of other teams, especially Data EngineeringPromote long-term vision for monitoring performance of deployed models to identify concept drift and determine retraining cadenceDetermine how to improve models over time by leveraging implicit and explicit feedback

Requirements:

Be comfortable working in a fully-remote environmentBe able to communicate clearly to diverse groups of stakeholders coming from different disciplines, timezones, and programming language preferencesWillingness to learn new things and ask for helpProficient Python programming skills Experience designing, training, and evaluating supervised and unsupervised models using popular ML frameworksWorking knowledge of deep learning and clustering algorithmsTrack record of shipping models to productionExperience with writing and running tests (unit tests, integration tests, regression tests)Experience with performing data analysis as required to support data quality decisionsAbility to both give and receive helpful code reviews

Bonus points for:

Experience in SecurityExperience with AWS or GCPExperience with BigQueryExperience with Airflow or other CICD toolingExperience with monitoring ML models in productionWorking knowledge of graph algorithmsExperience 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 salaryHealth coverage for you and your family in many locationsAbility to craft your calendar with flexible locations and schedules for many rolesGenerous number of vacation days each yearDouble your charitable giving - We match up to $1500 (or local currency equivalent)Up to 40 hours each year to use toward volunteer projects you loveEmbracing parenthood with 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 candidate_accessibility@elastic.co 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)

Please see here for our Privacy Statement.

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 candidate_accessibility@elastic.co 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; Equal Employment Opportunity (EEO) Poster; and Employee Polygraph Protection Act (EPPA) Poster.

Please see here for our Privacy Statement.

Key Skills

• GCP