Senior ML Engineer

Overview

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

Senior ML Engineer

Location: Kirkland, WA

Work arrangement: On-site, with hybrid options available (first 6 months in-office; typically remote on Mondays and Fridays, with Tuesday-Thursday in-office, subject to manager\'s discretion).

Compensation: $175K - $225K/yr

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

• 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 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).

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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