Paris, France Remote (Country) Employment

Malt is hiring a Senior Machine Learning Engineer

About the Role

Work in the Matching squad as a Senior Machine Learning Engineer, building and deploying ML models to improve matching between freelancers and clients across Europe. Collaborate directly with Data Science, Research, and Engineering teams within a product squad, leading technical innovation and ensuring high standards in production ML systems.

Responsibilities

  • Design, develop, and deliver machine learning models and pipelines in close coordination with Data Science, Research, and Engineering teams.
  • Take ownership of complex machine learning systems, ensuring scalability, reliability, and maintainability in production environments.
  • Lead the adoption of technical best practices across the full ML lifecycle, including modeling, evaluation, deployment, and monitoring.
  • Establish and implement production standards that improve development quality and velocity across the Data & ML organization.
  • Transform complex business challenges into effective machine learning solutions that deliver measurable and lasting product impact.
  • Serve as a technical mentor and leader, helping to grow ML capabilities and support the development of less experienced team members.

Requirements

  • Minimum of 5 years of experience in software engineering and deploying machine learning models in production.
  • Proficiency in a programming language, preferably Python.
  • Hands-on experience with machine learning libraries such as PyTorch, TensorFlow, XGBoost, Scikit-Learn, or LightGBM.
  • Solid understanding of SQL for data querying and analysis.
  • Fluency in English, with strong communication skills to convey technical concepts clearly across teams.

Nice to Have

  • Advanced degree in Computer Science, Mathematics, Data Science, or another quantitative discipline.
  • Specialized knowledge in search systems, recommender systems, or natural language processing, including large language models, to guide system architecture and long-term technical planning.

Tech Stack

Python, PyTorch, TensorFlow, XGBoost, Scikit-Learn, LightGBM, SQL

Benefits

  • One-week onboarding program in Paris covering company culture, products, and services, attended with new hires.
  • Eligibility for stock options available to all employees.
  • Fully paid one-month sabbatical every three years.
  • Unrestricted access to request books relevant to business goals without requiring approval.
  • Annual team-building events organized for staff.

Work Arrangement

Local-country position based in Paris, France, with a required in-person onboarding week; ongoing work implies local presence.

Team

Integrated into a product squad within the Staffing Tribe’s Matching team; part of a 600-person organization spanning 6 European countries; reports directly to Marc, the future manager.

  • Promotes gender equality, with 50% of the executive committee composed of women.
  • Supports inclusive growth and professional development.
  • Operates a human-centered platform focused on user needs.
  • Maintains a diverse workforce across six European countries.
  • Committed to fostering an inclusive and diverse workplace.

Additional Information

  • Candidate profiles may be subject to background checks.
  • The hiring process includes interviews with a Tech Talent Acquisition Manager, the future manager, a technical discussion, a 2-hour coding test (with coding assistant permitted), or submission of an open-source portfolio, followed by a final interview with the CTO.
  • The organization enforces a non-discriminatory policy covering age, gender, sexual orientation, ethnicity, religion, and disability.
  • Onboarding activities are conducted in Paris.
Required Skills
PythonPyTorchTensorFlowXGBoostScikit-LearnLightGBMSQL PythonPyTorchTensorFlowXGBoostScikit-LearnLightGBMSQL
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About company
Malt
Malt is Europe's leading freelance marketplace, connecting over 850,000 freelancers with 90,000+ companies. Founded in 2013, Malt transforms how work gets done through its tech-powered, human-centered platform.
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Job Details
Department Technology – Data
Category data
Posted 4 hours ago