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 – Accu Data Integrated Marketing, Alumni Finder, ASL Marketing, College Bound Selection Service (CBSS), Deep Sync Labs and Home Data – 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 industry’s 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.

We are seeking a talented and driven Machine Learning Engineer to join our innovative team. In 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.

• 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

• 4+ years of hands-on experience in Machine Learning
• Master's 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

• 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

Kirkland, WA (First 6 months in-office; hybrid schedule available thereafter—typically remote on Mondays and Fridays, with Tuesday–Thursday in-office, subject to manager’s 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.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Deep Sync provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.