Intern – ML Data Engineer @ PlusAI

Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Named by Forbes as one of America’s Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus’s open autonomy technology platform is already powering vehicles in commercial use today. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Forbes, Insider, Consumer Electronics Show, AUVSI, and others. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

As the ML Data Engineer intern, you will work with our ML Data Infra team to implement a peer to peer Distributed Data Orchestration layer to serve as the cache layer for ML platform.

Responsibilities:

Help implement peer to peer distributed cache for ML training/Inference.
Help benchmark the cache solution .
Work with multiple teams to help define and build various backend services and development tools.

Required Skills:

MS or PhD student in Computer Science or equivalent field.
Solid understanding of fundamental CS algorithms and data structures.
Experience writing and maintaining Python code on and for Linux OS.
Knowledge and experience about distributed storage is great to have, but not required.

Salary Range:

$19 - $65 an hour

Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.

Your opportunities joining Plus

Work, learn and grow in a highly future-oriented, innovative and dynamic field.

Wide range of opportunities for personal and professional development.

Catered free lunch, unlimited snacks and beverages.

Highly competitive salary and benefits package, including 401(k) plan.

Compensation Overview

Responsibilities:

Required Skills:

Salary Range:

6 month growth

1 year growth

2 year growth