Perception Intern

Plus 2; Santa Clara (CA); On-site; USD 27,552 - 55,104; Part time

Benefits offered by this job

Catered free lunch

Unlimited snacks and beverages

Competitive salary and benefits package

401(k) plan

Job summary

Plus 2 is seeking a Perception Intern in Santa Clara, California, to work on autonomous vehicle technologies. You will engage with advanced simulations and collaborate with experts to refine deep learning models.

The ideal candidate is pursuing a MS or PhD in a relevant field, with experience in Python programming and 3D computer vision. The role includes developing innovative technologies and optimizing deep learning performance.

At Plus, you can expect competitive compensation, catered lunches, and ample growth opportunities.

Qualifications

• Pursuing MS or PhD in Computer Science, Electrical Engineering, Robotics, or a similar technical field.
• Experience with multi-modal deep learning and 3D Vision.
• Past involvement in deep learning projects such as object detection and motion tracking.

Responsibilities

• Develop technologies to detect unknown objects using sensor streams.
• Benchmark and optimize cutting-edge deep learning techniques.
• Collaborate with team members to integrate techniques into production.

Skills

Software design and development in Python

Knowledge in Machine Learning/Deep Learning

Experience in 3D computer vision

Education

Pursuing MS or PhD in relevant field

Tools

Deep learning frameworks

Job description

Perception Intern

Join our dynamic team at Plus as a Perception Intern and immerse yourself in the cutting‑edge world of autonomous vehicles delivering real‑world impact. You'll dive into the heart of a state‑of‑the‑art simulation pipeline and collaborate with industry experts as you train and fine‑tune multimodal deep learning models.

Responsibilities

• Develop state‑of‑the‑art technologies to detect unknown or foreign objects using multi‑modal sensor streams.
• Develop and benchmark cutting‑edge techniques in deep learning.
• Collaborate with team members to optimize and seamlessly integrate developed techniques into the production perception/AV stack.

Qualifications

• Pursuing MS or PhD in Computer Science, Electrical Engineering, Robotics, or a similar technical field of study, or equivalent practical experience.
• Software design and development experience in Python.
• Knowledge and/or experience with Machine Learning/Deep Learning.
• Experience in 3D computer vision.
• Past experience in deep learning projects involving object detection, motion tracking or semantic segmentation.
• Experience with 3D Vision.
• Publication record in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH).

Benefits

• Internship hourly rates are determined based on position, location, year in school, degree, and experience.
• 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.