Own Model Development: Lead the end-to-end design, development, and deployment of advanced ranking algorithms and retrieval models to deliver highly relevant search results and content.
Innovate in Semantic Search: Fine-tune and distill Language Models to enhance their domain-specific expertise. You'll implement cutting-edge semantic embedding techniques (e.g., binary, matryoshka, late interaction models) to optimize for speed and accuracy.
Build & Scale Recommender Systems: Architect and implement sophisticated recommender systems that personalize the user experience, driving engagement and content discovery.
Collaborate & Mentor: Work closely with product managers, software engineers, and data scientists to translate business needs into technical solutions.
Stay Ahead of the Curve: Actively research and evaluate emerging trends and academic research in ML, NLP, and Information Retrieval, prototyping new ideas to maintain our competitive edge.

A Master’s or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field.
3+ years of hands-on professional experience in building and deploying machine learning models in a production environment, with a significant focus on Information Retrieval, Search, or Recommender Systems.
Strong programming skills in Python and familiarity with SQL or other query languages.
Deep knowledge of ML frameworks like PyTorch or TensorFlow, and libraries like Scikit-learn and Hugging Face.
Hands-on experience with vector databases.
Analytical Mindset: Exceptional quantitative and problem-solving skills, with a proven ability to apply rigorous statistical and mathematical reasoning to complex, real-world challenges.
Excellent verbal and written communication skills in English.

Competitive Salary
Continuous learning: We provide the support needed to grow within the team.
Innovation: Innovation is the key to our success, so we encourage you to speak up and tell us about your vision.
Diversity is in our DNA! You will work in an international environment (over 29 nationalities and 24 languages spoken!)
Health insurance
401(k) matching
Flexible work hours
Paid time off

Senior ML Engineer – Search, LLM Ops

Key skills