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Software Research Intern information

What does a software research intern do?

A Software Research Intern assists in exploring, developing, and testing new software technologies under the guidance of experienced researchers or engineers. Their responsibilities often include literature reviews, coding prototypes, analyzing data, and documenting findings. This role provides hands-on experience in solving real-world problems, contributing to academic papers or patents, and learning advanced software development techniques. Interns typically work in research labs at universities, tech companies, or research institutions.

What is the difference between Software Research Intern vs Software Developer Intern?

AspectSoftware Research InternSoftware Developer Intern
Primary FocusConducting research, exploring new technologies, and developing prototypesWriting, testing, and maintaining software applications
Required SkillsResearch methodologies, programming, analytical skillsProgramming, debugging, software development lifecycle
Work EnvironmentResearch labs, innovation teams, academic settingsDevelopment teams, tech companies, startups
Typical Duration3-6 months, often aligned with research projects3-6 months, project-based or internship programs

While both roles involve programming and technical skills, a Software Research Intern focuses on exploring new ideas and technologies, whereas a Software Developer Intern is primarily involved in building and maintaining software products. The choice depends on whether you prefer research and innovation or hands-on software development.

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

To thrive as a Software Research Intern, you typically need a strong background in computer science fundamentals, programming (such as Python, Java, or C++), and problem-solving, often backed by current enrollment in or completion of a related degree program. Familiarity with research methodologies, version control systems (like Git), and data analysis or machine learning tools is highly valuable. Strong analytical thinking, curiosity, effective communication, and the ability to work collaboratively make an intern stand out. These skills are crucial for contributing to innovative projects, producing meaningful research outcomes, and integrating effectively with research teams.
What are the most commonly searched types of Software Research jobs in California? The most popular types of Software Research jobs in California are:
What cities in California are hiring for Software Research Intern jobs? Cities in California with the most Software Research Intern job openings:
Software Research Intern jobs near you

Research Intern - Deep Learning

pony.ai

Fremont, CA • On-site

$7.0K - $10K/mo

Internship

Re-posted 2 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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