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 rangeOur job everyday is to protect the data and critical assets of businesses world-wide by discovering hidden vulnerabilities... before the bad guys doAt 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 workOur valuesBe BoldBe CuriousStronger TogetherThe Data Science TeamWe 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 responsibilitiesStudy and implement Data Science's POCsDesign Machine Learning algorithmsResearch and implement ML algorithms that seem to be relevantConduct Machine Learning tests and experimentsTrain Machine Learning models requiredStay up-to-date with the latest advances in the fieldClassic ML and GenAIOur (current) stackLanguage: Python, SQLLibrairies: Pandas/Polars, Scikit-learn, XGBoost, Matplotlib, Streamlit, Plotly, HuggingFaceOur job everyday is to protect the data and critical assets of businesses world-wide by discovering hidden vulnerabilities... before the bad guys doAt 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 workOur valuesBe BoldBe CuriousStronger TogetherThe Data Science TeamWe 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 responsibilitiesStudy and implement Data Science's POCsDesign Machine Learning algorithmsResearch and implement ML algorithms that seem to be relevantConduct Machine Learning tests and experimentsTrain Machine Learning models requiredImprove existing packagesStay up-to-date with the latest advances in the fieldClassic ML and GenAIOur (current) stackLanguage: Python, SQLDatabases: ElasticSearch, BigQueryLibrairies: Pandas/Polars, Scikit-learn, XGBoost, Matplotlib, Streamlit, Plotly, HuggingFaceMLOps: Gitlab CI, Docker, Kubernetes, Terraform, ZenML, MLFlow, KubeflowEnvironment: Jupyter notebook [gcp]Other: GCP, Datadog, Dataflow, LinearRequirementsYour preferred experienceA first experience as an ML Engineer or in a similar roleGood data modelling skillsAbility to write robust code in PythonFamiliarity with standard libraries (Scikit-learn, XGBoost, pandas, numpy, ...)Communication skillsAbility to work in a teamGood analytical and problem solving skillsYou already worked with a cloud provider (not necessarily GCP)OrganisedIf you do not meet the requirements but you think you are a great fit, you are welcome to apply and explain why BenefitsOur Product & Engineering Culture️ Small teams & short iterations Culture of sharing, pair and mob programming, when it makes sense Quality time dedicated to technical design️Half the software engineers have over 10 years of experience Voyager Program to change team temporarily and discover how they work #becurious️ Cooldown week dedicated to learning and experimentingOur Benefits Salary range: 42-47k based on your level of seniority and competencies you will demonstrate during the hiring process 5 % bonus, based on company and individual performances Debit card for paying for lunch, with company contribution️Healthcare insurance, with company contribution️Remote allowance Referral bonus for every new CybelAngel we recruit based on your recommendation️ Monthly credits to spend with CSE partner️5 weeks of holidays and RTTSubsidy for one sporting event per year️ Legal Care Service solution Flexible work environment : flexible hours, remote (+45% of our team works fully remotely), right to disconnect charter, sick child leave paidDiversity & Inclusion Advocate team Very friendly and benevolent atmosphere Multicultural team (19 nationalities)️34% women Index Egapro 84/100We are committed to creating an inclusive workplace and giving everyone an equal opportunity to succeed, regardless of their background, identity, or life experiences. We value diversity and believe that every individual, no matter their journey, deserves a chance to contribute and thrive.Your hiring journey with us30' call with Pierre, recruiter to make sure expectations from both ends have a good chance to match30' call with Fabien, Data Science Manager to evaluate skills and culture fit60' meeting with the whole Data Science team to present the technical test that you prepared at home => have the chance to present your methodology and added valueSeniority levelSeniority levelEntry levelEmployment typeEmployment typeFull-timeJob functionIndustriesTechnology, Information and InternetReferrals increase your chances of interviewing at CybelAngel by 2xGet notified about new Machine Learning Engineer jobs in Paris, Île-de-France, France.Fullstack Developer Apprentice - September 2025 | Paris (M/F)Software Engineer Intern - Backend or FullstackSoftware Engineer Intern - Front-End or FullstackWe’re unlocking community knowledge in a new way. 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