Deep Learning Intern
Santa Clara, California, United States · Part Time
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- Experience
- Any
- Salary
- USD 19 – USD 65 / hour
- Openings
- 1
- Posted
- 2時間前
- Work mode
- In office
- Education
- MS or PhD in Computer Science, Electrical Engineering, Robotics, or related field
- Eligibility
- Applicants pursuing graduate or doctoral degrees in relevant fields or those possessing comparable practical experience may apply.
- Resume
- Required to apply
Where you'll work
Job description
About PlusAI
PlusAI is a pioneering Physical AI company focused on AI-powered virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with a presence throughout the US and Europe, it has been recognized as one of the World's Most Innovative Companies by Fast Company. The company partners globally with OEMs and logistics leaders such as the TRATON GROUP, Hyundai, Iveco, Bosch, and DSV to accelerate autonomous trucking deployment.
Role Overview
The Perception Intern will join PlusAI's cutting-edge perception team tackling real-world autonomous vehicle challenges. This role involves working on advanced simulation pipelines to train, optimize, and deploy multimodal deep learning models in production environments alongside seasoned industry experts.
Key Responsibilities
- Create innovative emergency vehicle detection solutions using temporal series of camera imagery.
- Design, implement, and evaluate state-of-the-art deep learning algorithms for various perception tasks.
- Work closely with engineering teams to enhance model performance and integrate algorithms into the production perception and autonomous vehicle technology stack.
Eligibility
Candidates currently enrolled in MS or PhD programs in Computer Science, Electrical Engineering, Robotics, or related fields, or those with equivalent practical experience.
Required Qualifications
- Proficient in Python with strong software design and development skills.
- Solid foundational and practical experience in machine learning and deep learning techniques.
- Hands-on work in 3D computer vision applications.
Preferred Qualifications
- Prior projects related to object detection, motion tracking, or semantic segmentation.
- In-depth expertise in 3D vision systems.
- Publications in prestigious conferences such as CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, or SIGGRAPH.
Compensation and Benefits
- Hourly wage ranging from $19 to $65, determined by education level, experience, location, and candidate profile.
- Complimentary catered lunches, unlimited snacks, and beverages available onsite.
- Attractive financial benefits including a 401(k) savings plan.
- Opportunities for professional advancement in a frontier field combining physical AI and autonomous driving technologies.