Core ML Engineer — Scalable ML & Cloud Systems

AI Breaking Wire; Mountain View (CA); On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Stock options

Paid time off

On-site amenities

Job summary

Google’s Core ML team in Mountain View seeks a Machine Learning Engineer to design, build, and deploy scalable ML models and infrastructure. You will research new ML techniques, improve performance and efficiency, and optimize systems for latency, throughput, and cost.

Collaborating with product teams, you will integrate ML solutions into Google products, drawing on deep ML fundamentals and experience with distributed systems and cloud platforms.

Qualifications

• BS/MS/PhD in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Strong programming skills in Python, C++, or Java.
• Deep understanding of ML fundamentals, algorithms, and frameworks (e.g., TensorFlow, PyTorch).

Responsibilities

• Design, build, and deploy scalable ML models and infrastructure.
• Research and implement new ML techniques to improve performance and efficiency.
• Optimize existing ML systems for latency, throughput, and cost.
• Collaborate with product teams to integrate ML solutions.

Skills

Machine learning

Python

TensorFlow

Distributed systems

Cloud computing

Education

BS/MS/PhD in CS/Engineering

Tools

C++

Java

Job description

Google’s Core ML team in Mountain View seeks a Machine Learning Engineer to design, build, and deploy scalable ML models and infrastructure. You will research new ML techniques, improve performance and efficiency, and optimize systems for latency, throughput, and cost.

Collaborating with product teams, you will integrate ML solutions into Google products, drawing on deep ML fundamentals and experience with distributed systems and cloud platforms.