Machine Learning

This role is for one of the Weekday's clients

Requirements

Key Responsibilities

• Design and implement ML models to improve search ranking, query understanding, and content retrieval
• Develop and optimize algorithms for semantic search, personalization, and recommendation systems
• Analyze large-scale datasets and logs to extract insights and improve search relevance
• Build robust evaluation pipelines to measure model impact on business and user experience metrics
• Collaborate with backend and infrastructure teams to productionize ML solutions in low-latency, scalable environments
• Experiment with and integrate state-of-the-art NLP methods, embeddings, and large language models into search systems
• Monitor model performance, retrain pipelines, and ensure accuracy and freshness of search results
• Contribute to the development of search-related data pipelines, features, and tools
  

What Makes You a Great Fit

• Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field
• 3+ years of experience building and deploying ML models in production environments
• Strong understanding of search systems, information retrieval, and ranking algorithms
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn
• Hands-on experience with NLP techniques, including embeddings, transformers, and text classification
• Solid knowledge of retrieval models (BM25, vector search) and relevance evaluation metrics (NDCG, MAP)
• Experience with large-scale distributed data processing tools (Spark, Hadoop)
• Familiarity with deploying ML models via APIs or microservices
• Bonus: experience with vector databases and semantic search frameworks (Elasticsearch, OpenSearch, FAISS), personalization systems, A/B testing, and contributions to the ML/Search community
• Strong problem-solving skills, analytical thinking, and ability to collaborate in cross-functional teams
• Comfortable working in Agile development environments and managing multiple priorities