Senior Machine Learning Engineer

Design, build, and deliver machine learning models and pipelines in close collaboration with Data Science, Research, and Engineering teams.

Own and evolve complex ML systems, ensuring they remain scalable, reliable, and maintainable in production.

Drive technical excellence and best practices across the entire ML lifecycle, from modeling and evaluation to deployment and monitoring.

Define and implement production standards that increase the quality and speed of development across the Data & ML organization.

Translate complex business problems into robust ML solutions with measurable and durable impact on product outcomes.

Act as a technical leader and mentor, supporting the growth of ML practices and elevating the skills of less experienced team members

Ideally educated to a high level in Computer Science, Mathematics, Data Science, or a related quantitative field.

Strong knowledge of a programming language, ideally Python. 

Experience with ML libraries (Pytorch, Tensorflow, XGBoost, Scikit-Learn, LightGBM, …).

Good knowledge of SQL

Expertise in search, recommender systems, or NLP including LLM to influence system design and long-term technical strategy.

Fluent in English, with the ability to distill complex ideas clearly across teams.

Interview with your future manager Marc to delve into your experience and the specifics of the role. (45-60 minutes)

Technical discussion about machine learning with some of your future colleagues (1h)

Take home coding test: 2 hours (coding assistant welcomed) or optional if you have enough open source projects online.

Final interview with Claire our CTO, to discuss Malt’s long-term vision