Senior ML Engineer

Compact Information Systems LLC • Kirkland, WA

just now • Hybrid

About The Position

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.

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
• 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
• 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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level