Machine Learning Engineer (Local Search & Marketplace)

Join our team as a Machine Learning Engineer focused on Local Search & Marketplace. In this hands-on role, you will build and improve machine learning models for search, recommendation, ranking, retrieval, matching, and personalization. You will work across various areas, including understanding consumer demand, improving search and recommendation relevance, and building models that effectively match users with local supply. You will have the opportunity to take machine learning solutions from problem definition and experimentation through production deployment and iteration.

• Construire et améliorer des modèles d'apprentissage automatique pour la recherche, la recommandation, le classement, la récupération, l'appariement et la personnalisation.
• Développer des systèmes qui comprennent les requêtes des utilisateurs, les comportements, les préférences et le contexte.
• Collaborer avec les équipes produit, d'ingénierie et de données pour définir les problèmes, identifier les opportunités et traduire les besoins commerciaux en solutions ML évolutives.
• We welcome candidates across a range of experience levels, and the scope and level of the role will be calibrated based on the candidate’s experience
• Matching, marketplace optimization, or dispatch
• Experience with one or more of the following:
• Ability to work with large-scale or complex datasets and translate ambiguous problems into practical solutions
• Recommendation or personalization
• Strong collaboration and communication skills
• Experience building machine learning, data mining, search, recommendation, ranking, NLP, or related systems through academic projects, internships, or industry work
• Query understanding, intent classification, or NLP
• Solid understanding of machine learning fundamentals, data structures, algorithms, and statistical analysis
• Search, retrieval, or learning-to-rank
• Interest in building production systems that serve real users and deliver measurable product impact
• Strong programming skills in Python, Java, C++, or another relevant language
• Embeddings, semantic search, or large language models
• Experience deploying and maintaining machine learning models in production
• Experience with experimentation, including A/B testing, causal analysis, or marketplace experiments
• Experience applying LLMs to search, recommendation, classification, or information retrieval
• Familiarity with deep learning frameworks and ML infrastructure, such as PyTorch, TensorFlow, Spark, Kubernetes, or feature and model-serving platforms
• Experience building taxonomies, user-interest representations, knowledge graphs, or behavioral models
• Background in local search, local services, maps, commerce, marketplaces, delivery, mobility, or location-based products
• Experience at a consumer internet, search, recommendation, advertising, e-commerce, or marketplace company