Senior Machine Learning Engineer

🪐 Discover our galaxy

Explore your future career 🔭Join our Staffing Tribe as a Senior Machine Learning Engineer in the Matching squad. Directly integrated in a product squad, you’ll have the opportunity to drive impact across our European markets and beyond. Your mission is at the core of Malt: matching the best freelancers to our clients’ needs. You will own complex ML systems and define production standards to drive innovation across our pipelines

Key responsibilities ✨

• 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

About you 🧑‍🚀

• 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.

How to join the mission? 🚀

• First call with Alex, our Tech Talent Acquisition Manager, to better understand your background, aspirations and answer any questions you may have. (30-45 minutes)

• 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

Ready? Get your ticket to Malt 🪐