ZipRecruiter

Log In

1

Intern Vehicle Tracking Jobs in California (NOW HIRING)

Pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7.0K - $10K/mo

Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an ... detection and tracking, segmentation, semantics understanding, video understanding, scene ...

pony.ai

Research Intern - Deep Learning

Fremont, CA

$7.0K - $10K/mo

Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an ... detection and tracking, segmentation, semantics understanding, video understanding, scene ...

previous pagenext page

Showing results 21-40

All JobsIntern Vehicle Tracking JobsIntern Vehicle Tracking Jobs in California

Intern Vehicle Tracking information

What types of projects or tasks can an intern vehicle tracking expect to work on during their internship?

As an Intern in Vehicle Tracking, you can expect to work on projects related to monitoring fleet movements, analyzing GPS data, and supporting the implementation or optimization of tracking systems. You may assist with data collection, generate reports on vehicle usage and efficiency, and collaborate with operations or logistics teams to resolve tracking discrepancies. This role often involves using tracking software, learning about telematics, and communicating findings to supervisors, providing valuable hands-on experience in both technology and transportation operations.

What does an intern vehicle tracking do?

An Intern Vehicle Tracking typically assists in monitoring and analyzing data from GPS and telematics systems to track vehicles in a fleet or logistics environment. Their responsibilities may include collecting and interpreting real-time location data, supporting the optimization of routes, and preparing reports for fleet managers. They may also help troubleshoot tracking devices and contribute to process improvements. This role offers practical experience in transportation technology and data analysis, making it valuable for students interested in logistics, IT, or automotive industries.

What is the difference between Intern Vehicle Tracking vs Vehicle Tracking Specialist?

AspectIntern Vehicle TrackingVehicle Tracking Specialist
CredentialsBasic knowledge, often student or entry-levelRelevant certifications, experience preferred
Work EnvironmentInternship setting, supervised tasksFull-time or part-time professional role
Industry UsageTraining and learning phaseOperational and maintenance responsibilities
Search/Comparison IntentUnderstanding entry-level roles in vehicle trackingProfessional expertise and career growth

Intern Vehicle Tracking roles focus on learning and assisting with vehicle tracking systems, often requiring minimal experience. Vehicle Tracking Specialists are experienced professionals responsible for managing, maintaining, and optimizing vehicle tracking solutions. The main difference lies in experience level, responsibilities, and career stage, with interns gaining foundational knowledge and specialists handling advanced tasks.

What are the key skills and qualifications needed to thrive as an intern vehicle tracking, and why are they important?

To thrive as an Intern Vehicle Tracking, you need foundational knowledge in logistics, data analysis, and familiarity with transportation or fleet management concepts, often supported by progress towards a relevant degree. Experience with GPS tracking software, Microsoft Excel, and possibly telematics systems is typically required. Strong attention to detail, effective communication, and proactive problem-solving are important soft skills for success in this role. These skills and qualities are essential for ensuring accurate vehicle monitoring, timely reporting, and efficient coordination within logistics operations.
What are the most commonly searched types of Vehicle Tracking jobs in California? The most popular types of Vehicle Tracking jobs in California are:
What cities in California are hiring for Intern Vehicle Tracking jobs? Cities in California with the most Intern Vehicle Tracking job openings:
Intern Vehicle Tracking jobs near you

Research Intern - Deep Learning

Pony.ai

Fremont, CA • On-site

$7.0K - $10K/mo

Other

Re-posted 11 days ago

Job description

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai’s leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world’s top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in November 2024.

Responsibility

  • 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 the 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 them to data pipelines; and streamline them to run in real-time on the cars.

  • 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, or trajectory prediction, etc.

  • Optimize deep learning models to run robustly under tight run-time constraints.

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 Experience

  • Publications on top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/ICLR/AAAI

  • Experience in applying ML/DL for behavior prediction, imitation learning, motion planning.

  • Experience in deploying deep learning algorithms for real time applications, with limited computing resources.

  • Experience in convex optimization, computational geometry or linear algebra.

  • Experience in GPU/CUDA/TensorRT

  • Previous internships involving large-scale deep learning models and systems

  • Preferred graduate before Dec 2026

Note

  • This position is rolling based and it can start any time.

  • This position is fully onsite in Fremont, at least 3 months.

Compensation

  • Master: $7000/month

  • PhD: $10,000/month

Please click here (https://pony.ai/privacyNotice?lang=en) for our privacy disclosure.

Apply