Staff Machine Learning Engineer - Advertiser Optimization - Remote

Overview

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In Short

• Work on advertiser optimization products to enhance efficiency and ROI.
• Build optimizations using machine learning models.
• Collaborate with cross-functional teams.
• Conduct experiments to measure system impacts.
• Lead the design of new bidding and budget optimization products.
• Utilize live auction data for real-time bid adjustments.
• Incorporate control and reinforcement learning in algorithms.
• Participate in setting long-term team direction.
• Contribute to team culture and processes.
• Ensure quality and technical approach within the team.

Requirements

• 7+ years of experience in high-quality code production.
• 5+ years in control systems or reinforcement learning.
• Experience leading engineering teams.
• Familiarity with ad serving platforms is preferred.
• Proficiency in programming languages like Java, Python, Go, Scala, C++.
• Experience with data processing frameworks like Spark, Flink.
• Knowledge of cloud services like AWS or GCP.
• Familiarity with tools like Kubernetes, Docker.
• Experience with machine learning frameworks like TensorFlow or PyTorch.

Benefits

• Comprehensive Healthcare Benefits
• 401k Matching
• Workspace benefits for your home office
• Personal & Professional development funds
• Family Planning Support
• Flexible Vacation
• 4+ months paid Parental Leave
• Paid Volunteer time off