Related skills
sql python machine learning experimentation data curationπ Description
- Apply ML and security knowledge to real-world problems.
- Define and run experiments with minimal supervision.
- Explore data curation, labeling, and feature extraction.
- Document results and assess business impact with guidance.
- Contribute to publications and presentations; lead or sole authorship.
- Stay current on ML and security; contribute to internal tools and frameworks.
π― Requirements
- Fluent in machine learning and statistics.
- Identify and apply relevant scientific literature.
- Fluent in Python and SQL.
- Strong writing to translate complex concepts.
- Contribute to scientific papers; prior publications a bonus.
- Nice to have: security domain knowledge and familiarity with C++.
π Benefits
- Remote-first culture with possible hybrid roles.
- Collaborative, fun team spirit.
- Employee-led diversity and inclusion networks.
- Charity and volunteer days for communities.
- Global sustainability initiatives.
- Wellbeing programs, webinars, and wellness days.
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