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Robotics Research Intern Jobs in California (NOW HIRING)

Pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7.0K - $10K/mo

Currently pursuing a Masters or PhD program in Computer Science, Machine Learning, Robotics, or ... Experience with deep learning research and tools. * Proficiency in software design and development ...

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Robotics Research Intern information

What does a robotics research intern do?

A Robotics Research Intern assists with the development and testing of robotic systems, working under the guidance of experienced engineers or researchers. Their tasks often include programming robots, running experiments, collecting and analyzing data, and documenting results. Interns may also contribute to research papers and presentations, depending on the project. This role provides hands-on experience with cutting-edge robotics technology and helps interns build foundational skills for a career in robotics.

What types of projects or responsibilities can a robotics research intern expect during their internship?

As a Robotics Research Intern, you can expect to work on a variety of hands-on and collaborative projects, such as developing algorithms for robot perception, assisting in hardware integration, or running experiments to validate robotic systems. Interns often contribute to ongoing research efforts, participate in team meetings, and sometimes co-author research papers. The work environment is typically fast-paced and supportive, with mentorship from experienced researchers and engineers. You'll also have opportunities to present your findings, gain exposure to cutting-edge robotics technology, and network with professionals in the field.

What are the key skills and qualifications needed to thrive as a robotics research intern?

To thrive as a Robotics Research Intern, you need a solid background in robotics, computer science, or engineering, with coursework or experience in algorithms, control systems, and programming (often at least a bachelor's level in progress). Familiarity with technical tools like ROS (Robot Operating System), simulation environments (e.g., Gazebo, MATLAB), and coding languages such as Python or C++ is typically required. Strong problem-solving abilities, teamwork, and effective communication skills help interns contribute meaningfully to collaborative research projects. These skills and qualities are crucial for innovating and advancing robotics solutions in both academic and industry settings.

What is the difference between Robotics Research Intern vs Robotics Engineer?

AspectRobotics Research InternRobotics Engineer
CredentialsTypically pursuing or holding a degree in robotics, engineering, or related fieldsBachelor's or master's degree in robotics, mechanical, electrical, or computer engineering
Work EnvironmentResearch labs, academic institutions, or corporate R&D departmentsDesign, develop, and implement robotic systems in industrial, commercial, or research settings
Employer & Industry UsageUniversities, research institutions, tech companiesManufacturers, tech firms, automation companies

Robotics Research Interns focus on supporting research projects, gaining hands-on experience, and exploring new technologies. Robotics Engineers are responsible for designing, building, and maintaining robotic systems, often leading projects and applying engineering principles. While both roles require a background in robotics, interns typically have less experience and work under supervision, whereas engineers hold more advanced responsibilities and often have full-time positions.

What are the most commonly searched types of Robotics Research jobs in California?

The most popular types of Robotics Research jobs in California are:

What cities in California are hiring for Robotics Research Intern jobs?

Cities in California with the most Robotics Research Intern job openings:

Robotics Research Intern jobs near you

Research Intern - Deep Learning

Pony.ai

Fremont, CA • On-site

$7.0K - $10K/mo

Other

Re-posted 19 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

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