Machine Learning Engineer
Distributed, EMEA
Elastic
Power insights and outcomes with the Elasticsearch Platform and AI. See into your data and find answers that matter with enterprise solutions designed to help you build, observe, and protect. Try Elas...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:
- 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 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Clustering Data analysis Data quality Deep Learning GCP Kubernetes Machine Learning ML models Privacy Python Security
Perks/benefits: Career development Competitive pay Equity Flex hours Flex vacation Health care Medical leave Parental leave Salary bonus
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