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Senior Machine Learning Developer
Company | Elastic |
Address | Montreal, Quebec, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Technology, Information and Internet |
Expires | 2023-09-25 |
Posted at | 9 months ago |
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.
- Determine how to improve models over time by leveraging implicit and explicit feedback
- Collaborate within the Security ML team, and with members of other teams, especially Data Engineering
- Support ongoing efforts to improve data quality and ML model training automation, as well as observability and reproducibility of ML models
- Promote long-term vision for monitoring performance of deployed models to identify concept drift and determine retraining cadence
- Experience with writing and running tests (unit tests, integration tests, regression tests)
- Be comfortable working in a fully-remote environment
- Track record of shipping models to production
- Experience with performing data analysis as required to support data quality decisions
- Willingness to learn new things and ask for help
- Experience designing, training, and evaluating supervised and unsupervised models using popular ML frameworks
- Be able to communicate clearly to diverse groups of stakeholders coming from different disciplines, timezones, and programming language preferences
- Working knowledge of deep learning and clustering algorithms
- Ability to both give and receive helpful code reviews
- Proficient Python programming skills
- Experience with monitoring ML models in production
- Experience with AWS or GCP
- Experience with Airflow or other CICD tooling
- Experience in Security
- Working knowledge of graph algorithms
- Experience with Kubernetes
- Experience with BigQuery
- Ability to craft your calendar with flexible locations and schedules for many roles
- Up to 40 hours each year to use toward volunteer projects you love
- Embracing parenthood with minimum of 16 weeks of parental leave
- Health coverage for you and your family in many locations
- Competitive pay based on the work you do here and not your previous salary
- Generous number of vacation days each year
- Double your charitable giving - We match up to $1500 (or local currency equivalent)
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