Scala Business Solutions
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ML Engineer
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Scala Business Solutions 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 industry’s most comprehensive data with easy-to-activate solutions. We provide billions of privacy-first data connections annually to thousands of customers. Position Overview 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. 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 stakeholders Build and maintain multi-agent reinforcement learning models Requirements
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 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 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. #J-18808-Ljbffr
ML Engineer
role at
Scala Business Solutions 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 industry’s most comprehensive data with easy-to-activate solutions. We provide billions of privacy-first data connections annually to thousands of customers. Position Overview 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. 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 stakeholders Build and maintain multi-agent reinforcement learning models Requirements
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 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 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. #J-18808-Ljbffr