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Deep Learning Ai Job Jobs (NOW HIRING)

pony.ai

Research Intern - Deep Learning

Fremont, CA

$7.0K - $10K/mo

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous ... Develop and deploy deep learning models, including vision language models (VLMs) and Large Language ...

Hayden AI

Deep Learning Engineer

San Francisco, CA · On-site

$161K - $175K/yr

About Us At Hayden AI, we are on a mission to harness the power of computer vision to transform the ... About the Deep Learning Team The Deep learning team's work is at the crux of Hayden AI's solutions ...

pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7.0K - $10K/mo

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous ... Develop and deploy deep learning models, including vision language models (VLMs) and Large Language ...

pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7.0K - $10K/mo

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous ... Develop and deploy deep learning models, including vision language models (VLMs) and Large Language ...

PlusAI

Deep Learning Intern

Santa Clara, CA · On-site

$19 - $65/hr

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built ... Develop and benchmark cutting-edge techniques in deep learning. * Collaborate with team members to ...

PlusAI

Deep Learning Intern

Santa Clara, CA

$19 - $65/hr

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built ... Develop and benchmark cutting-edge techniques in deep learning. * Collaborate with team members to ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

Carbon Robotics is an innovative company focused on leveraging advanced robotics and AI to improve agricultural practices. As a Deep Learning Engineer, you will design, develop, and deploy deep ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

Carbon Robotics is an innovative company focused on revolutionizing agriculture with advanced robotics and AI technology. As a Deep Learning Engineer, you will design, develop, and deploy deep ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

Carbon Robotics is an innovative company focused on revolutionizing agriculture through advanced robotics and AI technology. As a Deep Learning Engineer, you will design, develop, and deploy deep ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA

$140K - $220K/yr

Carbon Robotics is the leader in physical AI for agriculture, helping farmers become more ... YouTube | X | Instagram | LinkedIn | News Deep Learning Engineer As a Deep Learning Engineer at ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

$140K - $220K/yr

Carbon Robotics is the leader in physical AI for agriculture, helping farmers become more ... YouTube | X | Instagram | LinkedIn | News Deep Learning Engineer As a Deep Learning Engineer at ...

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How much do deep learning ai job jobs pay per year?

As of Jul 29, 2026, the average yearly pay for deep learning ai job in the United States is $83,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $139,000.00 per year, depending on experience, location, and employer.
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Infographic showing various Deep Learning Ai Job job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $83,885 per year, or $40.3 per hour.

Research Intern - Deep Learning

pony.ai

Fremont, CA

$7.0K - $10K/mo

Other

Re-posted 18 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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