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

5+ years of experience in software engineering and deploying machine learning models in production environments.
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.

Equity: Every Malter is entitled to stock options
Malt sabbatical: Every three years, all Malters are entitled to a one month fully paid sabbatical leave
Free books: If you’re interested in learning more about any topic relevant to Malt’s business, just tell us the books you’d like to read, and we’ll order them for you—without any questions asked or approval processes to follow
Team building events organized every year

Senior Machine Learning Engineer

Key skills