DescriptionOur 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 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.Position OverviewWe 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.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
Requirements
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
Knowledge And SkillsDeep 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 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. Work Authorization: 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. Equal Opportunity Employer: 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.
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Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Marketing Services