Senior Machine Learning Engineer

🪐 Discover our galaxy

Join the Future of Work ! Malt is Europe's leading freelance marketplace, connecting over 850,000 talented freelancers with 90,000+ companies. Founded in 2013, we're transforming how work gets done through our tech-powered, human-centered platform. What makes us different:

- A diverse team of 600 Malters across 6 European countries

- A culture that champions equality (50% of our Comex are women) and inclusive growth

- Backed by top investors including ISAI, Serena Capital, Eurazeo Growth, Goldman Sachs, and BPI

- A mission to give everyone the freedom to work differently

Ready to help shape the future of work? Your next chapter starts here! 🪐

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

Malt is the perfect space to thrive personally and professionally 💫

- Onboarding: Before easing into your new role, you’ll spend your first week learning about our culture, products, and services with other new joiners at our office in Paris

- 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

Ready? Get your ticket to Malt 🪐 

At Malt, we are committed to fostering an inclusive and diverse workplace. We recruit based on skills, experience, and potential, without any form of discrimination related to age, gender, sexual orientation, ethnicity, religion, or disability. Our mission is to create a work environment where everyone feels valued, respected, and safe to thrive.

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