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Machine Learning Engineer

CybelAngel protects businesses from cybersecurity threats by discovering hidden vulnerabilities using advanced machine learning and cyber analysis expertise.
$42,000 - $47,000
Machine Learning
Mid-Level Software Engineer
Hybrid
101 - 500 Employees
2+ years of experience
AI · Cybersecurity

Description For Machine Learning Engineer

CybelAngel, a leading cybersecurity company with offices in Boston, Paris, and London, is seeking a Machine Learning Engineer to join their Data Science team. The role involves processing billions of documents daily to detect data leaks and protect clients' critical assets. As part of a global team of 150 members, you'll work on implementing intelligent filtering algorithms and building robust ML pipelines.

The position offers a hybrid work environment and focuses on developing and maintaining machine learning systems that measure model drift, facilitate production releases, and enable automatic model retraining. You'll be working with modern technologies including Python, SQL, ElasticSearch, BigQuery, and various ML libraries like Scikit-learn and HuggingFace.

The company culture emphasizes values such as boldness, curiosity, and collaboration. With a multicultural team representing 19 nationalities and a strong commitment to diversity (34% women, Egapro Index 84/100), CybelAngel provides an inclusive workplace where everyone can thrive.

Benefits include a competitive salary range of 42-47k€, performance bonuses, healthcare coverage, remote work allowance, and flexible working arrangements. The company also offers unique perks such as a Voyager Program for cross-team experience and dedicated cooldown weeks for learning and experimentation.

This role is perfect for someone with ML engineering experience who wants to make a real impact in cybersecurity while working with cutting-edge technologies in a supportive, diverse environment.

Last updated a day ago

Responsibilities For Machine Learning Engineer

  • Study and implement Data Science's POCs
  • Design Machine Learning algorithms
  • Research and implement ML algorithms
  • Conduct Machine Learning tests and experiments
  • Train Machine Learning models
  • Improve existing packages
  • Stay up-to-date with the latest advances in the field
  • Work with Classic ML and GenAI

Requirements For Machine Learning Engineer

Python
Kubernetes
  • A first experience as an ML Engineer or in a similar role
  • Good data modelling skills
  • Ability to write robust code in Python
  • Familiarity with standard libraries (Scikit-learn, XGBoost, pandas, numpy)
  • Communication skills
  • Ability to work in a team
  • Good analytical and problem solving skills
  • Experience with cloud provider
  • Organized

Benefits For Machine Learning Engineer

Medical Insurance
Dental Insurance
Vision Insurance
  • 5% performance bonus
  • Healthcare insurance with company contribution
  • Remote work allowance
  • Referral bonus
  • 5 weeks of holidays and RTT
  • Flexible work environment
  • Lunch debit card with company contribution
  • Monthly credits for CSE partner
  • Sports event subsidy
  • Legal Care Service
  • Small teams & short iterations
  • Culture of sharing and pair programming

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