Machine Learning Engineer II, Pricing

What you'll do

• Design, develop, and productionize end-to-end ML solutions and pricing algorithms for large-scale distributed systems.
• Partner with engineers, product managers, and scientists to plan and deliver technical solutions to complex business problems.
• Mentor junior team members on design and implementation.

What they ask for

• Degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact.
• 2+ years of experience developing and deploying machine-learning models and optimization algorithms in large-scale production environments.
• Proficiency in Python, Scala, Java, or Go.
• Experience with large-scale data systems, real-time processing, microservices, and production ML solutions at scale.

Nice to have

• Experience deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior.
• Experience in reinforcement learning and causal machine learning.

Pay

USD $171,000 per year - USD $190,000 per year base salary (New York City, NY); USD $171,000 per year - USD $190,000 per year base salary (San Francisco, CA); USD $171,000 per year - USD $190,000 per year base salary (Seattle, WA); USD $171,000 per year - USD $190,000 per year base salary (Sunnyvale, CA)

Tools

Python, Scala, Java, Go, Spark, Ray, Flink, MLOps

AI focus

Develop and productionize machine-learning models and pricing algorithms, including deep learning, causal modeling, and reinforcement learning, for real-time marketplace pricing and optimization.