Machine Learning Engineer

This range is provided by CybelAngel. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Our job everyday is to protect the data and critical assets of businesses world-wide by discovering hidden vulnerabilities... before the bad guys do

At CybelAngel, we see beyond perimeters to protect businesses from the most critical cybersecurity threats. Fortune 500 Global to mid-size companies world-wide, trust CybelAngel's global of approximately 150 team members, to protect their businesses from digital threats. With a combination of advanced machine learning, cyber analysis expertise, and a powerful suite of software solutions, CybelAngel detects and resolves our clients potential threats, long before they can fall into the hands of cyber criminals.

Our capabilities expand every day to uncover new risks, detect more threats, protect more clients, and create new possibilities for our employees.

With offices in Boston, Paris, and London, CybelAngel's global footprint allows for a thriving hybrid, office and remote-work environment. We are looking for exceptional ‘go-getters' who share our ambitious vision, innovative culture, high commitment to ethics, and enthusiasm for being the best possible place to work

Our values

• Be Bold
• Be Curious
• Stronger Together

The Data Science Team

We process billions of documents every day to alert our customers in case of data leaks Our goal is to spot sensitive data in a massive amount of documents.

Introducing intelligence at the various levels of our processing pipeline is therefore a crucial issue for CybelAngel: we want to filter out non-sensitive elements. Our Data Science team has the mission to make our filtering algorithms as intelligent as possible, in order to optimize and facilitate the processing of security incidents delivered to our customers. Our Machine Learning Engineers build systems to measure models drift, build robust pipelines to ease production release and models retrain, and help the data scientists on the good practices of software development. Automatic retrain when we measure a drift in the performances will be the key project in the next few years They are also in charge of designing Machine Learning models from data analysis to production release with the data scientists.

Your responsibilities

• Study and implement Data Science's POCs
• Design Machine Learning algorithms
• Research and implement ML algorithms that seem to be relevant
• Conduct Machine Learning tests and experiments
• Train Machine Learning models required
• Stay up-to-date with the latest advances in the field
• Classic ML and GenAI

Our (current) stack

• Language: Python, SQL
• Librairies: Pandas/Polars, Scikit-learn, XGBoost, Matplotlib, Streamlit, Plotly, HuggingFace

Our job everyday is to protect the data and critical assets of businesses world-wide by discovering hidden vulnerabilities... before the bad guys do

At CybelAngel, we see beyond perimeters to protect businesses from the most critical cybersecurity threats. Fortune 500 Global to mid-size companies world-wide, trust CybelAngel's global of approximately 150 team members, to protect their businesses from digital threats. With a combination of advanced machine learning, cyber analysis expertise, and a powerful suite of software solutions, CybelAngel detects and resolves our clients potential threats, long before they can fall into the hands of cyber criminals.

Our capabilities expand every day to uncover new risks, detect more threats, protect more clients, and create new possibilities for our employees.

With offices in Boston, Paris, and London, CybelAngel's global footprint allows for a thriving hybrid, office and remote-work environment. We are looking for exceptional ‘go-getters' who share our ambitious vision, innovative culture, high commitment to ethics, and enthusiasm for being the best possible place to work

Our values

• Be Bold
• Be Curious
• Stronger Together
  

The Data Science Team

We process billions of documents every day to alert our customers in case of data leaks Our goal is to spot sensitive data in a massive amount of documents.

Introducing intelligence at the various levels of our processing pipeline is therefore a crucial issue for CybelAngel: we want to filter out non-sensitive elements. Our Data Science team has the mission to make our filtering algorithms as intelligent as possible, in order to optimize and facilitate the processing of security incidents delivered to our customers. Our