Senior Machine Learning Engineer

January 28

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Logo of Bloomreach

Bloomreach

Bloomreach is a leader in ecommerce personalization solutions, providing platforms that integrate real-time customer and product data via AI. The company offers marketing automation, product discovery, and a unified data platform specifically designed for commerce applications. This enables businesses to personalize marketing efforts across multiple channels such as email, SMS, and web, optimize ecommerce search and merchandising, and manage customer and product data for advanced analytics and omnichannel personalization. Bloomreach’s solutions cater to various industries including retail, travel, hospitality, and more, to enhance profitability and customer retention.

Digital Experience • DXP • Content Management • Merchandising • Search

501 - 1000 employees

🛍️ eCommerce

☁️ SaaS

🤖 Artificial Intelligence

💰 $30M Debt Financing on 2022-10

Description

• Bloomreach is the world’s #1 Commerce Experience Cloud, empowering brands to deliver personalized customer journeys. • Seeking a seasoned Senior Machine Learning Engineer to own the design and implementation of AI and GenAI driven algorithmic components for search and recommendation. • Centralized data science team is responsible for powering all products of the company. • We invent and apply ML, data mining, and information retrieval algorithms to improve web content discovery.

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.

Benefits

• Restricted Stock Units or Stock Options are granted depending on a team member’s role, seniority, and location. • Everyone gets to participate in the company's success through the company performance bonus. • We offer an employee referral bonus of up to $3,000 paid out immediately after the new hire starts. • We reward & celebrate work anniversaries -- Bloomversaries!

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