Senior Machine Learning Engineer

📋 Description

• • As a Senior Machine Learning Engineer at Bloomreach, you will be at the forefront of innovation, designing, developing, and implementing sophisticated AI and Generative AI driven algorithmic components. These components are the backbone of our agentic platform for personalization, revolutionizing how businesses connect with their customers across the entire customer journey.
• • You will play a pivotal role in advancing our capabilities in autonomous search, making product discovery more intuitive and conversational. This involves leveraging cutting-edge ML techniques to understand user intent and deliver highly relevant results, thereby enhancing the customer experience and driving business profitability.
• • Your work will also be crucial in making conversational shopping a reality, connecting shoppers with tailored guidance and product expertise on demand. This requires building intelligent systems that can understand natural language and provide personalized recommendations and assistance at every touchpoint.
• • Furthermore, you will contribute to designing the future of autonomous marketing, automating workflows and freeing up marketers to focus on strategic, creative, and customer-centric tasks. This involves developing AI models that can optimize marketing campaigns and personalize communications at scale.
• • At the core of these initiatives is Loomi AI, our proprietary AI engine. You will be instrumental in enhancing and expanding the capabilities of Loomi AI, ensuring that personalization is not only autonomous but also consistent and effective across all Bloomreach products.
• • Your responsibilities will encompass the full lifecycle of ML model development, from initial research and proof-of-concept to production-level deployment and continuous enhancement. This includes processing vast amounts of historical data, search queries, product catalogs, and images to extract hidden relationships and valuable features that fuel our AI models.
• • You will be expected to conduct in-depth research into the latest advancements in Machine Learning, particularly in deep learning, and rapidly prototype new ideas to assess their potential impact. This requires a proactive approach to staying abreast of the rapidly evolving AI/ML landscape.
• • Collaboration will be key. You will work closely with Data Engineers and Senior Data Scientists to seamlessly integrate and scale your ML components into production environments capable of handling terabytes of data. This ensures that our innovations can be deployed effectively to serve our global clientele.
• • A significant part of your role will involve continuous learning and staying current with state-of-the-art techniques by actively reading research papers, attending AI/ML conferences, and engaging with the broader research community.
• • You will contribute to critical product areas such as Search Relevance, Recommendation Engines, User Personalization, User Segmentation, Content Intelligence, and Conversational Commerce, applying your expertise to solve complex problems and drive significant business value for our clients.
• • The ideal candidate will possess a strong mathematical foundation and excellent programming skills, with a primary focus on Python, to develop and refine ML/AI models that power our core search and recommendation functionalities.
• • You will leverage your expertise in various machine learning and natural language processing technologies, including classification, information retrieval, clustering, knowledge graphs, semi-supervised learning, and ranking, to build robust and effective solutions.
• • Your ability to perform excellent exploratory data analysis, slice and dice data at scale using SQL (Redshift/BigQuery), and translate data insights into actionable ML strategies will be crucial for success.
• • You will be instrumental in exploring and applying cutting-edge deep learning techniques, including Representation Learning, Transfer Learning, RNN/LSTM, and Transformers, utilizing frameworks like PyTorch, Keras, or TensorFlow.
• • Experience working with Big Data technologies within a cloud-based production environment (AWS, GCP, Azure) is essential for deploying and managing scalable ML solutions.
• • You will be a key contributor to our mission of building AI-driven experiences that go beyond traditional e-commerce, shaping the future of digital interactions for leading global brands.