Malt recrute un(e)

Senior Machine Learning Engineer

CDI • France

Cette offre est lié au département Data


Discover our galaxy 🪐

Malt was founded in 2013 and, since then, we managed to become the fastest growing freelance marketplace gathering a community of 470k+ freelancers, 50k+ companies, and 500+ Malters. 

We’ve built the industry’s leading freelance management solutions—all on a powerful, AI-driven tech platform—to match companies with the right freelance talent(e)
But we’re more than just a connector(e)Our marketplace streamlines freelancer-client communications, simplifies administrative and legal tasks, expedites invoicing and payments, and so much more.  

Today, our company is growing fast! We need people like you to help us write this next chapter.

We are a tech company with a human approach 👽

- Strong company culture fueled by 500+ Malters from 22+ nationalities
- Multiple offices per country (France, Germany, Spain, Belgium, United Kingdom, the Netherlands and the Middle East)
- Committed to equality and diversity (50% of people managers are women)
- Strong career path policies allowing all Malters to develop and grow equally
- Backed by renowned investors including ISAI, Eurazeo Growth, Goldman Sachs and BPI France

Explore your future career 🔭

About the role

As a senior Machine Learning Engineer, you will :
- Collaborate with other data scientists to improve our search algorithm and recommendation systems used to match freelancers to projects.
- Build new data products and models to improve freelancers or clients' experience on Malt.
- Implement and test new models in production.
- Design measurement and monitoring of models performance.
- Advance the Data disciplines at Malt, including driving data best practices such as improving and automating processes, building new data tools and data sets, data education around the company and mentoring and developing others.

About you

  • 3+ years of relevant industry experience and a degree (Masters or PhD is a plus) in a quantitative field
  • Ability to design machine learning (ML) models and put them into production
  • Strong knowledge of a programming language, ideally Python(e)Experience with ML libraries (Pytorch, Tensorflow, XGBoost, Scikit-Learn, LightGBM, …).
  • Good knowledge of SQL
  • Preferred: Experience working with tech and product(e)Experience with natural language processing (NLP), recommender system, graph neural network (GNN) would be a huge advantage(e)Experience with a Cloud environment, ideally GCP(e)Previous experience working with Airflow and BigQuery
  • Excellent interpersonal skills with a positive and cooperative attitude that fosters collaboration and teamwork both inside and outside the department
  • Comfortable in navigating and excelling in fast-paced environments with no playbook for success, and able to simplify

Our Recruitment process

  • First call with Alex, our Tech Talent Acquisition Manager, to better understand your background, aspirations and answer your questions(e)(45 mins)
  • Interview with your future manager, Claire (VP Data) to discuss your experience and the role in more detail (30 mins)
  • Technical discussion on machine learning with the team (1h)
  • Take home test (2 hours or optional if you have enough open source projects online)
  • Final interview (1h):
  • Take home test or open sources projects debrief
  • Presentation of a past project to the team
  • Discussion with a stakeholder (Product, Marketing, Engineering or Operations)

  • ☎️ Proposal within 48h



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 onboardees at our office in Paris
- Equity: Every Malter is entitled to stock options 
- Lunch vouchers: €9/day on your Swile card.
- Transportation: 50% reimbursement (any type of transport)
- RTT: From 8 to 12 days off
- Malt sabbatical: After three years of service, every malter is entitled to  one month of 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.
- Remote work: possibility to work full-remote
- Annual off-sites: Les Arcs, Amsterdam, Ibiza… Where next ?

Ready? Get your ticket to Malt 🪐 

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