ZipRecruiter

Log In

1

Cnbc Jobs (NOW HIRING)

pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7K - $10K/mo

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 ...

Tala

Communications Manager

$100K - $130K/yr

CNBC's Disruptor 50 for five years. CNBC's World's Top Fintech Companies for two consecutive years. Forbes' Fintech 50 list for nine consecutive years. Visionary investors, persuaded by the economic ...

next page

Showing results 1-20

All JobsCnbc Jobs

Cnbc information

What is CNBC?

CNBC is a major American business news television channel that provides live coverage of financial markets, business news, and economic analysis. Launched in 1989, it is owned by NBCUniversal and is widely recognized for its real-time market data, interviews with business leaders, and expert commentary. CNBC is popular among investors, financial professionals, and anyone interested in economic news, offering both domestic and international coverage. The channel also produces original documentaries, business reality shows, and digital content through its website and mobile apps.

What are the key skills and qualifications needed to thrive as a CNBC Reporter, and why are they important?

To thrive as a CNBC Reporter, you need a solid background in journalism, strong research abilities, and a deep understanding of business and financial markets, typically supported by a bachelor's degree in journalism or a related field. Familiarity with newsroom software, content management systems, and data visualization tools like Bloomberg Terminal is often required. Exceptional communication, critical thinking, and the ability to work under tight deadlines are crucial soft skills for success. These skills ensure accurate, timely, and engaging reporting that maintains CNBC’s reputation and informs its audience effectively.

What are some common challenges faced by journalists working at CNBC, and how can applicants prepare for them?

Journalists at CNBC often work in a fast-paced environment where breaking news and tight deadlines are the norm. Adapting quickly to shifting priorities, verifying information under time pressure, and maintaining accuracy while meeting deadlines are frequent challenges. Applicants can prepare by developing strong research skills, practicing concise and clear writing, and building familiarity with financial markets and business news. Collaborating effectively with producers, editors, and on-air talent is also essential, as teamwork ensures the delivery of timely and accurate news.

What is the difference between Cnbc vs Financial Analyst?

AspectCnbcFinancial Analyst
Required CredentialsJournalism degree, media experienceFinance degree, certifications like CFA
Work EnvironmentMedia, broadcasting, news studiosCorporate, investment firms, banks
Employer & IndustryMedia companies, news networksFinancial institutions, corporations
Common Search/ComparisonMedia careers, journalism rolesFinance careers, investment analysis

While Cnbc focuses on media and journalism careers within the broadcasting industry, a Financial Analyst works in finance, analyzing data to guide investment decisions. Both roles require strong communication skills but differ significantly in credentials, work environment, and industry focus.

What cities are hiring for Cnbc jobs? Cities with the most Cnbc job openings:
What states have the most Cnbc jobs? States with the most job openings for Cnbc jobs include:
What job categories do people searching Cnbc jobs look for? The top searched job categories for Cnbc jobs are:
Cnbc jobs near you
Infographic showing various Cnbc job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.
Research Intern - Deep Learning

Research Intern - Deep Learning

pony.ai

Fremont, CA • On-site

$7K - $10K/mo

Other

Posted 15 hours 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 for our privacy disclosure.

Apply