Machine Learning Engineer

📋 Description

• Develop, deploy, and maintain machine learning models that support production decision-making
• Build or adopt technologies that improve the training and serving of machine learning models
• Monitor current machine learning research and identify promising techniques that can be evaluated
• Design, build, and scale efficient machine learning pipelines for both real-time and batch
• Monitor model performance, identify data or model drift, and develop automated retraining and
• Apply deep learning and neural network techniques to large-scale production systems, including

🎯 Requirements

• 6+ years of industry experience applying machine learning, including neural networks, to
• Strong hands-on experience developing and operating deep neural networks in production at scale.
• Experience designing or working with recommendation systems.
• Solid software engineering and coding capabilities with an emphasis on building reliable production
• Demonstrated ability to execute projects effectively and deliver high-quality results within
• Strong analytical and problem-solving skills, with an ability to evaluate multiple approaches and

🎁 Benefits

• Base salary of $225,000–$275,000 for the San Francisco Bay Area, Los Angeles/Orange County, NYC
• Base salary of $210,000–$255,000 for Olympia, Austin, San Diego, Santa Barbara, Boston, and other
• Full-time remote work available from approved locations in CA, CO, ID, IL, FL, GA, MA, MI, MN, MO
• Remote-first work environment with U.S. hubs in Redwood City, Los Angeles, and New York City.
• Equity as part of the overall compensation package.
• Health, vision, and dental benefits.