Security ML - Senior 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.
The Elastic Security Machine Learning team is looking for a Senior Machine Learning Engineer to lead the maturation of our model training pipeline. You will work closely with Data Engineers and Data Scientists to identify model blindspots, detect drift patterns, and confidently label never-before-seen samples.
What you’ll do:
- 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 Machine Learning 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
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
- Proficient 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
Bonus points for:
- Experience in Security
- Experience with AWS or other cloud platforms
- Experience with Jenkins or other CI/CD tooling
- Working knowledge of deep learning, clustering, and/or graph algorithms
- Experience designing, training, and evaluating models using popular ML frameworks
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 complete our Candidate Accessibility Request Form.
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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS CI/CD Data analysis Deep Learning Engineering Machine Learning ML models Model training Python Security
Perks/benefits: Career development Competitive pay Flex hours Flex vacation Health care Medical leave Parental leave Salary bonus
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