Senior Machine Learning Engineer / Data Scientist

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. Bloomreach is seeking a seasoned Senior Machine Learning Engineer to own the design and implementation of cutting-edge AI and GenAI driven algorithmic components for contextual personalization, predictions and behavioral insights that are used to personalize digital experiences for our customers.

Responsibilities

Design, develop, and enhance ML/AI models which Predictions, Contextual Personalization and our new agentic workflows; Process historical data, product catalog and user behaviours to extract hidden relations and features; Conduct research to explore ongoing cutting-edge ML techniques and conduct a quick POC; Work closely with ML Engineers 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.

Requirements

BS/MS degree in Computer Science or a related discipline with a strong mathematical foundation and excellent programming skills (primarily Python); At least 3 years of 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; 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 BigQuery; Good problem solving and analytical skills, with 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 skills in English, both verbally and in written form.

Nice to have

Experience in working with GenAI stack

Benefits

A great deal of freedom and trust; Flexible working hours; Virtual-first work with Bloomreach Hubs; Company events; 5 paid days off to volunteer; People Development Program; Leader Development Program; $1,500 professional education budget; Employee Assistance Program; Subscription to Calm; DisConnect days with one additional day off each quarter; Sports, yoga, and meditation opportunities; Extended parental leave up to 26 calendar weeks for Primary Caregivers; Restricted Stock Units or Stock Options; Company performance bonus; Employee referral bonus up to $3,000; Work anniversaries (Bloomversaries)