Senior Machine Learning Engineer

Bloomreach; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

An innovative firm is looking for a Senior Machine Learning Engineer to lead the design and implementation of AI-driven algorithms that enhance digital experiences. This role involves developing scalable machine learning models, processing vast datasets, and collaborating with data engineers to integrate ML components into production. The successful candidate will have a strong background in machine learning, deep learning, and natural language processing, along with excellent programming skills in Python. Join this forward-thinking company and play a key role in transforming the future of commerce experiences through cutting-edge technology.

Benefits

Restricted stock units

Flexible work from anywhere

AI/ML conference attendance

Professional development opportunities

Qualifications

• 5-8 years of experience in building scalable ML algorithms.
• Strong understanding of machine learning and NLP technologies.
• Excellent programming skills in Python and SQL.

Responsibilities

• Design and enhance ML/AI models for Search and Recommendation.
• Process data to extract hidden relations and features.
• Stay up to date with state-of-the-art ML techniques.

Skills

Machine Learning

Deep Learning

Natural Language Processing

Data Analysis

Problem Solving

Generative AI

Analytical Skills

Education

BS/MS in Computer Science

Tools

Python

SQL

AWS

GCP

Azure

PyTorch

Keras

TensorFlow

Redshift

BigQuery

Job description

Bloomreach helps businesses personalize the customer experience. It leverages the industry's only real-time customer and product data to train advanced AI, which powers personalized marketing, product discovery, content management, and conversational shopping in a single solution. This AI-driven approach empowers over 1,400 global brands, including Bosch, Puma, and Marks & Spencer, to grow their businesses. With Bloomreach, personalization flows seamlessly across the customer experience. At every point in their journey, customers are connected with the content they want to see and the products they want to buy. Businesses break the limits of ordinary experiences — and drive measurable growth along the way.

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 search, recommendation and behavioral insights that are used to personalize digital experiences for our customers. The salary starts at €3,800 gross per month, along with restricted stock units and other benefits. We are currently allowing flexibility for our employees to work from anywhere for the respective region (in this case CEE region) on a full-time basis.

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.

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.

Qualifications:

• 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.

Excited? Join us and transform the future of commerce experiences!

If this position doesn't suit you, but you know someone who might be a great fit, share it - we will be very grateful!

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