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Deep Learning Researcher Jobs (NOW HIRING)

pony.ai

Research Intern - Deep Learning

Fremont, CA

$7K - $10K/mo

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 ...

Pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7K - $10K/mo

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 ...

Alljoined

Machine Learning Researcher

San Francisco, CA · On-site

$140K - $250K/yr

We apply deep learning research to large scale EEG datasets collected on affordable hardware to decode images, text, and video initially, and eventually moving to internal thought. We are ...

Alljoined

Machine Learning Researcher

San Francisco, CA · On-site +1

$140K - $250K/yr

We apply deep learning research to large scale EEG datasets collected on affordable hardware to decode images, text, and video initially, and eventually moving to internal thought. We are ...

Rivet Industries

Machine Learning Researcher

San Jose, CA · On-site

$150K - $290K/yr

People with a deep disdain for bureaucracy, empire building, groupthink, dogma, corporate babble ... Machine Learning Researcher Location: 2550 N First Street Suite 250, San Jose, California 95131 ...

Rivet Industries

Machine Learning Researcher

San Jose, CA · On-site

$150K - $290K/yr

People with a deep disdain for bureaucracy, empire building, groupthink, dogma, corporate babble ... Machine Learning Researcher Location: 2550 N First Street Suite 250, San Jose, California 95131 ...

IMC Inc

Machine Learning Researcher

Chicago, IL · On-site

$250K - $300K/yr

Machine Learning Researcher Chicago, United States; New York, United States IMC Trading is seeking ... This is an opportunity to dive deep into feature engineering and alpha research, and focus on ...

1872 Consulting

Deep Learning Scientist

Los Angeles, CA · On-site

Job Opportunity The R&D team (located in Los Angeles, CA) is involved with creating innovative solutions using deep learning tailored to the needs of the product lines. Responsibilities: * Develop ...

PlusAI

Deep Learning Research Intern

Santa Clara, CA · On-site

$19 - $65/hr

... deep learning framework (PyTorch, Tensorflow, Jax) $19 - $65 an hour Your opportunities joining PlusAI Work, learn and grow in a highly future-oriented, innovative and dynamic field. Wide range of ...

PlusAI

Deep Learning Research Intern

Santa Clara, CA · On-site

$19 - $65/hr

... deep learning framework (PyTorch, Tensorflow, Jax) $19 - $65 an hour Your opportunities joining PlusAI Work, learn and grow in a highly future-oriented, innovative and dynamic field. Wide range of ...

Nvidia Corporation

Senior Deep Learning Engineer

Redmond, WA · On-site

$62 - $79.75/hr

We collaborate extensively with diverse teams at NVIDIA, spanning deep learning research and framework development teams, to silicon architecture. Thriving in such a high-impact, interdisciplinary ...

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Deep Learning Researcher information

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$30K

$113.1K

$164.5K

How much do deep learning researcher jobs pay per year?

As of Jun 4, 2026, the average yearly pay for deep learning researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Deep Learning Researcher, and why are they important?

To thrive as a Deep Learning Researcher, you need a strong background in computer science, mathematics, and machine learning principles, typically supported by an advanced degree (Master’s or PhD) in a related field. Proficiency with frameworks like TensorFlow or PyTorch, experience with high-performance computing, and familiarity with relevant programming languages such as Python are essential. Strong problem-solving, collaboration, and communication skills help you innovate and effectively share research findings. These skills and qualities are crucial for advancing state-of-the-art models and driving impactful AI solutions.

What are some common challenges faced by Deep Learning Researchers when transitioning models from research to production environments?

Deep Learning Researchers often encounter challenges such as ensuring model robustness, addressing scalability issues, and optimizing computational efficiency when moving models from research to production. Real-world data can be noisier or more variable than research datasets, requiring additional data preprocessing and validation. Collaboration with engineering teams is crucial to integrate models effectively, and researchers may need to adapt their algorithms to meet latency and resource constraints of production environments.

What is a Deep Learning Researcher?

A Deep Learning Researcher is a specialist who develops and investigates advanced algorithms and models that allow computers to learn from large amounts of data, particularly using artificial neural networks. They focus on designing, training, and evaluating deep learning models to solve complex problems in areas like computer vision, natural language processing, and speech recognition. Their work often involves staying up to date with the latest advancements in machine learning and contributing to research publications. Deep Learning Researchers may work in academia, industry, or research labs, collaborating with other scientists and engineers to push the field forward.

What is the difference between Deep Learning Researcher vs Machine Learning Engineer?

AspectDeep Learning ResearcherMachine Learning Engineer
CredentialsAdvanced degrees in AI, CS, or related fields; research publicationsDegree in CS, Data Science, or related; practical experience
Work EnvironmentResearch labs, academia, R&D departmentsIndustry, product teams, deployment environments
Employer & Industry UsageUniversities, research institutes, tech companiesTech companies, startups, enterprise firms
Primary FocusDeveloping new algorithms, theoretical advancementsImplementing models, deploying solutions, optimizing systems

While both roles involve working with machine learning models, Deep Learning Researchers focus on advancing the theoretical foundations and developing new algorithms, often in research settings. Machine Learning Engineers apply these models in real-world applications, focusing on deployment and system optimization.

More about Deep Learning Researcher jobs
What job categories do people searching Deep Learning Researcher jobs look for? The top searched job categories for Deep Learning Researcher jobs are:
Deep Learning Researcher jobs near you
Infographic showing various Deep Learning Researcher job openings in the United States as of May 2026, with employment types broken down into 5% Internship, 70% Full Time, 10% Part Time, and 15% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.
Research Intern - Deep Learning

Research Intern - Deep Learning

pony.ai

Fremont, CA

$7K - $10K/mo

Other

Posted 22 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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