Machine Learning Engineer Intern

Plus 2; Santa Clara (CA); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Catered free lunch

Unlimited snacks and beverages

401(k) plan

Job summary

Plus 2, located in Santa Clara, CA, seeks talented individuals for developing AI-based virtual driver software. Join a pioneering team addressing innovative solutions for autonomous trucks.

The ideal candidate will work on multi-modal feature fusion and event classifier development, requiring strong skills in Python and temporal data analysis. Additional benefits include catered lunch, unlimited snacks, and a highly competitive salary with a 401(k) plan.

Qualifications

• Experience with temporal data, Time-series analysis or Video Understanding.
• Strong foundation in classification and supervised learning.

Responsibilities

• Develop a pipeline to ingest and synchronize disparate data streams.
• Design and train temporal models to recognize discrete driving behaviors.

Skills

Temporal data analysis

Python proficiency

Classifications and supervised learning

Tools

Pandas

NumPy

PyArrow/Parquet

Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next‑generation autonomous trucks. 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.

Responsibilities

• Multi‑Modal Feature Fusion: Develop a pipeline to ingest and synchronize disparate data streams, including raw camera frames and structured proto modules (Perception, Planning, Control).
• Event Classifier Development: Design and train temporal models (e.g., Video Transformers, LSTMs, or 1D‑CNNs) to recognize and categorize discrete driving behaviors.

Required Qualifications

• Experience with temporal data (Time‑series analysis or Video Understanding).
• Proficiency in Python and libraries like Pandas, NumPy, and PyArrow/Parquet for handling large‑scale protobuf data.
• Strong foundation in classification and supervised learning.

Nice to Have

• Experience with distributed processing (e.g., Spark or Ray).
• Understanding of autonomous driving problems.

Benefits

• 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.