Bloomreach is hiring a
Senior Machine Learning Engineer

Summary

Join Bloomreach as a Senior Machine Learning Engineer to design and implement cutting-edge AI and GenAI driven algorithmic components for search, recommendation, and behavioral insights. The role offers a salary starting at €3,800 gross per month, remote work flexibility, stock units, and other benefits.

Requirements

• BS/MS degree in Computer Science or a related discipline with a strong mathematical foundation and excellent programming skills (primarily Python)
• 5-8 years experience building ML-driven fast and scalable ML/analytical algorithms in a corporate/startup environment
• Strong awareness and understanding of recent trends in Generative AI and LLMs. Experience in working with GenAI stack will be treated as strong credentials
• Strong understanding of various machine learning and natural language processing technologies, such as classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking
• Excellent exploratory data analysis skills with the ability to slice and dice data at scale using SQL in Redshift/BigQuery
• Good problem solving and analytical skills. Ability to learn and adapt to newer ML technologies
• Exposure to deep learning stack (PyTorch/Keras/TensorFlow) and techniques (Representation/Transfer Learning, RNN/LSTM, Transformers)
• Experience working with Big Data in a cloud based production environment (AWS/GCP/Azure)
• Effective communication skill in English, both verbally and in written form

Responsibilities

• Design, develop, and enhance ML/AI models which mainly power Search and Recommendation
• Process historical data, search queries, product catalog, and images to extract hidden relations and features
• Conduct research to explore ongoing cutting-edge ML techniques (especially deep learning) and conduct a quick POC
• Work closely with Data Engineers and Senior Data Scientists to integrate and scale ML components to a production-level that can handle terabytes of data
• Continuously learn and stay up to date with the current state-of-the-art techniques by reading research papers and attending AI/ML conferences

Benefits

• Remote work flexibility (CEE region)
• Restricted Stock Units
• Other benefits