ML Engineer

Our parent company Compact Information Systems LLC is considered a pioneer of the data industry and was originally founded in 1988 as a mailing list company for direct marketers and print shops. Thirty-five years later and combining the strength of our sister brands AccuData Integrated Marketing AlumniFinder ASL Marketing College Bound Selection Service (CBSS) Deep Sync Labs and HomeData we have grown to become some of the foremost data suppliers in the U.S.

Today we are Deep Sync. A company that powers agencies and brands with unmatched audience insights unsurpassed reach and unrivaled expertise by combining the industrys most comprehensive data with easy-to-activate solutions. We provide billions of privacy-first data connections annually to thousands of customers. Learn more about us here.

Position Overview

We are seeking a talented and driven Machine Learning Engineer to join our innovative this role you will have the opportunity to design develop and deploy cutting-edge machine learning models that drive business value and revolutionize our products and services. You will collaborate with cross-functional teams including data scientists software/data engineers and product managers. The ideal candidate possesses a strong foundation in machine learning algorithms exceptional programming skills and a keen eye for data analysis and feature engineering.

Key Responsibilities:

• Design develop and deploy machine learning models and algorithms to tackle a wide range of business challenges
• Conduct data exploration feature engineering and model selection to optimize performance and accuracy
• Implement and maintain machine learning pipelines ensuring seamless integration with existing systems
• Monitor and evaluate the performance of deployed models and continuously iterate and improve them
• Stay up-to-date with the latest advancements in machine learning techniques and frameworks
• Communicate complex machine learning concepts and results to both technical and non-technical stakeholder
• Build and maintain multi agent reinforcement learning models

• Masters or Ph.D. degree in Computer Science Statistics Mathematics or a related field
• Strong understanding of machine learning algorithms techniques and frameworks (e.g. supervised learning unsupervised learning deep learning)
• Proficiency in Python programming
• Expertise in data preprocessing feature engineering and model evaluation techniques
• Experience with big data technologies (e.g. Hadoop Spark) and cloud computing platforms (e.g. AWS GCP)
• Excellent problem-solving skills and ability to think creatively to develop innovative solutions
• Strong communication and collaboration skills with the ability to work effectively in a team environment

Knowledge and Skills:

Deep understanding of machine learning algorithms including but not limited to:

• Supervised learning algorithms (e.g. linear regression logistic regression decision trees random forests support vector machines)
• Unsupervised learning algorithms (e.g. clustering dimensionality reduction anomaly detection)
• Deep learning architectures (e.g. convolutional neural networks recurrent neural networks transformers)
• Reinforcement learning techniques
• Multi Agent Reinforcement Learning Models

Location:

Kirkland WA (First 6 months in-office; hybrid schedule available thereaftertypically remote on Mondays and Fridays with TuesdayThursday in-office subject to managers discretion).

Registered to do business and willing to consider candidates in the following states; California Colorado Florida Georgia Missouri New York Oregon South Carolina Tennessee Texas and Washington.