PhD) at pony.ai

Fremont, California, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Autonomous DrivingIndustries

Requirements

Currently pursuing a Masters or PhD program in Computer Science, Machine Learning, Robotics, or similar field
Strong background in deep learning, with experience in model design, training, and evaluation
Experience with deep learning research and tools
Proficiency in software design and development using Python and C++
Experience working with large-scale datasets, data preprocessing, and pipeline management
(Preferred) Publications on top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/ICLR/AAAI
(Preferred) Experience in applying ML/DL for behavior prediction, imitation learning, motion planning
(Preferred) Experience in deploying deep learning algorithms for real-time applications with limited computing resources
(Preferred) Experience in convex optimization, computational geometry, or linear algebra
(Preferred) Experience in GPU/CUDA/TensorRT
(Preferred) Graduate before Aug 2026
Fully onsite in Fremont, at least 3 months

Responsibilities

Work with experts in the field of self-driving vehicles on designing and developing large-scale foundation models trained on vast amounts of real-world data
Frame open-ended real-world problems into well-defined ML problems
Develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation learning, etc.) to these problems
Scale ML approaches to data pipelines and streamline them for real-time operation in vehicles
Develop and deploy deep learning models, including Vision-Language Models (VLMs) and Large Language Models (LLMs)
Design and implement multi-modality and multi-task perception models, focusing on 3D object detection and tracking, segmentation, semantics understanding, video understanding, scene understanding, traffic control, and trajectory prediction
Optimize deep learning models for robust real-time performance under tight constraints

Skills

Deep Learning

Python

C++

Reinforcement Learning

Imitation Learning

Vision-Language Models

Large Language Models

3D Object Detection

Object Tracking

Segmentation

Trajectory Prediction

Data Preprocessing

Data Pipelines

pony.ai

Develops autonomous driving technology solutions

About pony.ai

Pony.ai develops technology for autonomous driving, focusing on creating systems that can operate vehicles without human intervention. Their main product, the "virtual driver," is tested extensively in various driving conditions to ensure reliability. This technology is utilized in three main areas: Robotaxi services for passengers, Robotruck services for logistics and freight, and Personally Owned Vehicles for individual users. Unlike many competitors, Pony.ai tailors its solutions to meet the needs of different customer segments, including everyday travelers and commercial logistics companies. The company's goal is to advance autonomous mobility, making it accessible and efficient for everyone.

Fremont, CaliforniaHeadquarters

2016Year Founded

$718.8MTotal Funding

IPOCompany Stage

Robotics & Automation, Automotive & TransportationIndustries

501-1,000Employees

Benefits

Health Insurance

401(k) Retirement Plan

401(k) Company Match

Life Insurance

Paid Vacation

Parental Leave

Disability Insurance

Risks

Competition from Baidu in Hong Kong may impact Pony.ai's market share.

Regulatory changes in China could challenge Pony.ai's compliance and operations.

Tesla's expansion into China poses a competitive threat to Pony.ai.

Differentiation

Pony.ai's 'virtual driver' technology is a leader in autonomous driving innovation.

The company operates across Robotaxi, Robotruck, and Personally Owned Vehicles units.

Pony.ai collaborates with automotive manufacturers for seamless technology integration.

Upsides

Pony.ai plans to expand its robotaxi fleet to over 1,000 by 2025.

The company is introducing driverless services at Hong Kong International Airport.

Pony.ai received over $223 million in strategic investments in November 2024.

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