ML Software Engineer — Build Scalable AI Apps

Meta; Redmond (WA); On-site; USD 122,000 - 181,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta in Redmond, WA seeks a Software Engineer specializing in machine learning to design and ship scalable ML-powered features across platforms. You will work with product, design, and infrastructure teams to translate research insights into production-ready systems.

You will build reusable components, improve code quality, and drive end-to-end technical ownership while advancing AI capabilities at scale. This role emphasizes collaboration and impact.

Qualifications

• Experience building maintainable and testable codebases with API design and unit testing.
• Track record of setting technical direction and driving cross-functional partnerships.

Responsibilities

• Collaborate with cross-functional teams to build innovative application experiences
• Implement custom user interfaces using latest programming techniques and technologies
• Develop reusable software components for interfacing with back-end platforms
• Analyze and optimize code for quality, efficiency, and performance
• Lead complex technical or product efforts and provide technical guidance to peers
• Architect efficient and scalable systems that drive complex applications
• Identify and resolve performance and scalability issues
• Work on a variety of coding languages and technologies
• Establish ownership of components, features, or systems with expert end-to-end understanding

Skills

ML algorithms

Technical leadership

Cross-functional collaboration

Code quality

System design

Tools

PyTorch

TensorFlow

Python

JavaScript

Hack

C/C++

Java

Job description

Meta in Redmond, WA seeks a Software Engineer specializing in machine learning to design and ship scalable ML-powered features across platforms. You will work with product, design, and infrastructure teams to translate research insights into production-ready systems.

You will build reusable components, improve code quality, and drive end-to-end technical ownership while advancing AI capabilities at scale. This role emphasizes collaboration and impact.