Principal ML Engineer – Real-Time Recommendation Platform

Energy Jobline ZR; Seattle (WA); On-site; USD 180,000 - 260,000; Full time

Job summary

Energy Jobline ZR seeks a Principal Recommendation System/Platform Engineer to upgrade our core recommender architecture and model platform. You will transform a rule-based system into an industrial-scale, real-time ML platform serving 80M+ users globally across trading, content, community, and AI-powered workflows.

You will lead architecture, infrastructure, and end-to-end delivery in a fast-moving environment, collaborating with data science and growth teams to deliver scalable personalization.

Qualifications

• Proven experience in building recommender systems at scale.
• Strong CS fundamentals and production-grade software skills.
• Experience with ML model training, deployment, and online inference.

Responsibilities

• Lead upgrade of core recommendation architecture and model platform.
• Architect and implement high-throughput, low-latency services for real-time ML.
• Develop training infrastructure with distributed training and scheduling.
• Build deployment capabilities and online inference with autoscaling and canary releases.
• Collaborate with algorithm and data teams to standardize training and inference.

Tools

Go

Java

C++

PyTorch

TensorFlow

Kubernetes

Job description

Energy Jobline ZR seeks a Principal Recommendation System/Platform Engineer to upgrade our core recommender architecture and model platform. You will transform a rule-based system into an industrial-scale, real-time ML platform serving 80M+ users globally across trading, content, community, and AI-powered workflows.

You will lead architecture, infrastructure, and end-to-end delivery in a fast-moving environment, collaborating with data science and growth teams to deliver scalable personalization.