Machine Learning Software Engineer - Build AI Systems

Meta; Sunnyvale (CA); On-site; USD 122,000 - 181,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking engineers to join our team in Sunnyvale, CA, building cutting-edge ML-powered products that connect billions worldwide. You will work on complex technical problems, create new features, and improve existing products across mobile and web platforms, while delivering efficient, high-quality software.

You will collaborate with product, design, operations, and infrastructure teams, design reusable components, and lead technical initiatives with end-to-end ownership.

Qualifications

• Experience building maintainable and testable code bases, including API design and unit testing techniques.
• Track record of setting technical direction for a team, driving consensus and cross-functional partnerships.
• Bachelor's degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience.

Responsibilities

• Collaborate with cross-functional teams to build innovative application experiences.
• Implement custom user interfaces using latest programming techniques.
• Develop reusable components interfacing with back-end platforms.
• Analyze and optimize code for quality, efficiency, and performance.
• Architect scalable systems for complex applications.

Skills

API design

Unit testing

Cross-functional collaboration

Programming in multiple languages

Problem solving

Education

Bachelor's degree in Computer Science or related field

PhD in a relevant field

Tools

PyTorch

TensorFlow

Python

JavaScript

Hack

C/C++

Shell scripting

Job description

Meta is seeking engineers to join our team in Sunnyvale, CA, building cutting-edge ML-powered products that connect billions worldwide. You will work on complex technical problems, create new features, and improve existing products across mobile and web platforms, while delivering efficient, high-quality software.

You will collaborate with product, design, operations, and infrastructure teams, design reusable components, and lead technical initiatives with end-to-end ownership.