Staff Machine Learning Engineer

Bloomreach is building the world’s premier agentic platform for personalization .We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi AI — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Bloomreach is seeking a seasoned Staff Machine Learning Engineer to own the design and implementation of cutting-edge AI and GenAI driven algorithmic components for search, recommendation and behavioral insights that are used to personalize digital experiences for our customers. Our centralized data science team spanned across multiple geographies, is responsible for the data science modules that power all the products of the company, including Search Relevance, Recommendation, User Personalization, User Segmentations, Content Intelligence and Conversational Commerce. We invent and apply machine learning, data mining, and information retrieval algorithms to understand, identify, and improve web content discovery. We have built industry leading algorithms in search and recommendations for the commerce space that serve the most relevant experiences using Artificial Intelligence with the goal-building AI driven experiences beyond commerce. Your 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. Own deep data analysis and A/B test debugging , proactively identifying root causes, assessing impact, and providing clear, data-driven direction on next steps (e.g., what to fix and how to adjust experiment design). Qualifications: BS/MS degree in Computer Science or a related discipline with a strong mathematical foundation and excellent programming skills (primarily Python) 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 Da ... (truncated, view full listing at source)