Security - Senior Machine Learning Developer @ Elastic | Jobright.ai
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Security - Senior Machine Learning Developer jobs in Pennsylvania, United States
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Elastic · 2 days ago

Security - Senior Machine Learning Developer

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AnalyticsCloud Computing
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Comp. & Benefits

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Responsibilities

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 ML 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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonMachine LearningModel EvaluationDeep LearningClustering AlgorithmsData AnalysisAWSGCPBigQueryAirflowMonitoring ML ModelsGraph AlgorithmsKubernetesCode Reviews

Required

Proficient Python programming skills.
Experience designing, training, and evaluating supervised and unsupervised models using popular ML frameworks.
Working knowledge of deep learning and clustering algorithms.
Track record of shipping models to production.
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.
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.

Preferred

Experience in Security.
Experience with AWS or GCP.
Experience with BigQuery.
Experience with Airflow or other CICD tooling.
Experience with monitoring ML models in production.
Working knowledge of graph algorithms.
Experience with Kubernetes.

Benefits

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
We match up to $2000 (or local currency equivalent) for financial donations and service
Up to 40 hours each year to use toward volunteer projects you love
Embracing parenthood with a minimum of 16 weeks of parental leave

Company

Elastic builds software to make data usable in real time and at scale for search, logging, security, and analytics use cases.

Funding

Current Stage
Public Company
Total Funding
$162M
Key Investors
New Enterprise AssociatesIndex VenturesBenchmark
2018-10-04IPO· nyse:ESTC
2018-05-03Secondary Market· Undisclosed
2016-07-01Series D· $58M

Leadership Team

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Ashutosh Kulkarni
CEO
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Shay Banon
CTO and Co-Founder
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Company data provided by crunchbase
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