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Deep Learning Jobs (NOW HIRING)

NVIDIA

Manager, Deep Learning Algorithms

Santa Clara, CA · On-site

$133K - $136K/yr

NVIDIA is seeking an engineering manager to lead engineering activities related to productizing Deep Learning models. In this role, you will mentor engineers, coordinate projects across different ...

KLA

Algorithm Engineer - Deep Learning

Milpitas, CA · On-site

The role involves pioneering deep learning and GenAI for image processing and computer vision applications, focusing on performance, efficiency, and deployment across the full deep learning project ...

femtoAI

Audio Deep Learning Engineer

San Bruno, CA · Hybrid

About the Role As a Deep Learning Engineer, you will: * Design, develop, and deploy deep-learning-based and classical DSP audio algorithms for our SPU platform. * Leverage innovative model ...

Hayden AI

Deep Learning Engineer II

San Francisco, CA · On-site

$161K - $175K/yr

Deep Learning Engineer II POSITION DUTIES: Lead the research, development, and deployment of state-of- the-art deep learning models for perception of urban scenes in production environments.

KLA

Algorithm Engineer - Deep Learning

Milpitas, CA · On-site

This role focuses on pioneering deep learning and GenAI for image processing and computer vision applications within semiconductor process control, requiring expertise in model design, implementation ...

femtoAI

Audio Deep Learning Engineer

San Bruno, CA · On-site

About the Role As a Deep Learning Engineer, you will: * Design, develop, and deploy deep-learning-based and classical DSP audio algorithms for our SPU platform. * Leverage innovative model ...

pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7K - $10K/mo

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 ...

pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7K - $10K/mo

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 ...

Rebar

Senior Deep Learning Engineer

New York, NY · On-site

$114K - $157K/yr

We're looking for a Senior Deep Learning Engineer with extensive experience in modern neural network techniques and PyTorch to help us push the boundaries of computer vision in real-world ...

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How much do deep learning jobs pay per year?

As of Jun 14, 2026, the average yearly pay for deep learning 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.

What jobs use deep learning?

Jobs that use deep learning include roles such as deep learning engineer, machine learning engineer, data scientist, AI researcher, and computer vision engineer. These positions typically require skills in programming languages like Python, experience with frameworks such as TensorFlow or PyTorch, and a strong understanding of neural networks and data analysis.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience, impact, and industry demand.

What are the typical daily responsibilities of a Deep Learning professional?

As a Deep Learning professional, your day-to-day tasks often include designing and training neural network models, preprocessing and analyzing large datasets, and evaluating model performance using various metrics. You may also participate in research activities, document your results, and collaborate with data scientists, engineers, or product teams to deploy machine learning solutions. Regular meetings for project updates, code reviews, and brainstorming sessions are common, as is staying updated on advances in the field. This dynamic environment offers both individual and team-based work, providing continuous learning and the opportunity to solve complex, real-world problems.

What is a Deep Learning job?

A Deep Learning job involves designing, developing, and optimizing neural networks to solve complex problems such as image recognition, natural language processing, and autonomous systems. Professionals in this field work with large datasets, neural network architectures, and frameworks like TensorFlow or PyTorch. They collaborate with data scientists, engineers, and researchers to improve model accuracy and efficiency. Deep Learning roles typically require strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration.

What engineers make $500,000?

Senior deep learning engineers with extensive experience, advanced skills in neural networks, and expertise in frameworks like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires a strong educational background, specialized certifications, and a track record of impactful projects.

What job makes $10,000 a month without a degree?

In the field of deep learning, roles such as freelance AI consultant or specialized machine learning engineer can potentially earn $10,000 or more per month through project-based work or high-demand expertise. Success typically requires strong skills in programming, neural networks, and experience with tools like TensorFlow or PyTorch, often gained through self-study or online courses rather than formal degrees.

What are the key skills and qualifications needed to thrive in the Deep Learning position, and why are they important?

To thrive in Deep Learning, you need a solid understanding of machine learning theory, neural networks, mathematics (especially linear algebra and probability), and programming skills, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data preprocessing, and optionally industry-recognized certifications are advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate findings clearly are crucial soft skills. These abilities enable the design, implementation, and optimization of effective deep learning solutions in real-world applications.

More about Deep Learning jobs
What cities are hiring for Deep Learning jobs? Cities with the most Deep Learning job openings:
What are the most commonly searched types of Deep Learning jobs? The most popular types of Deep Learning jobs are:
What states have the most Deep Learning jobs? States with the most job openings for Deep Learning jobs include:
What job categories do people searching Deep Learning jobs look for? The top searched job categories for Deep Learning jobs are:
Deep Learning jobs near you
Infographic showing various Deep Learning job openings in the United States as of June 2026, with employment types broken down into 53% Full Time, 44% Part Time, 1% Temporary, and 2% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $83,885 per year, or $40.3 per hour.
Deep Learning Research Intern

Deep Learning Research Intern

Futurewei Technologies, Inc.

San Jose, CA • On-site

$18 - $59/hr

Internship

Posted 17 days ago

Job description

Deep Learning Research Intern
(Embodied AI, Multimodal Foundation Models & Efficient Systems)
About Us
Futurewei is a well-funded independent research organization with a long history of R&D innovation in Silicon Valley. We are committed to open-source development, fundamental research, and advancing next-generation intelligent systems through collaboration and standards development.
About the Role
We are seeking a strong deep learning research intern to join our ASID team in San Jose, CA. This role focuses on building learning systems for embodied intelligence, emphasizing how multimodal foundation models can be trained, compressed, and deployed efficiently in embodied and interactive environments.
Our work goes beyond static perception. We study intelligence grounded in embodied experience-the interaction of perception, action, and environment over time-while ensuring models remain efficient, scalable, and deployable in real-world systems.
Core Research Focus Areas
The intern will contribute to one or more of the following interconnected research directions:
1. Multimodal Foundation Models
  • Fine-tuning and adaptation of large language models (LLMs), vision-language models (VLMs), and vision-language-action (VLA) models
  • Multimodal representation learning across vision, language, and action
  • Grounding foundation models in embodied experience and temporal interaction

2. Neural (Generative) Image and Video Compression
  • Learning-based image and video compression models
  • Efficient visual representations for perception and downstream embodied tasks
  • Joint optimization of compression efficiency, reconstruction quality, and task relevance

3. Embodied AI
  • Learning frameworks that couple perception, action, and environment dynamics
  • World models, predictive learning, and agent-centric representations
  • Embodied learning in simulation or real-world-inspired environments

4. Model Compression & Inference Acceleration for Embodied Systems
  • Model compression, pruning, quantization, and distillation
  • Efficient inference and deployment strategies for embodied and real-time applications
  • Hardware- and system-aware optimization for edge or robotic platforms

Responsibilities
  • Conduct research in one or more of the focus areas above
  • Design and implement learning algorithms and experimental pipelines
  • Develop prototype systems or demos for embodied and multimodal AI applications
  • Collaborate closely with researchers in a fast-paced, research-driven environment

Qualifications
  • MS or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Robotics, Mathematics, or a related field
  • Strong foundation in machine learning and deep learning
  • Experience or strong interest in multimodal models, embodied AI, compression, or efficient inference
  • Proficiency with PyTorch; experience with HuggingFace or similar frameworks is a plus
  • Solid Python programming skills
  • Research experience with publications in top conferences or journals preferred
  • Strong communication skills and ability to work effectively in a global research team

Location: San Jose, CA
Hourly interns pay range: $18 to $59, depending on degree-seeking academic program (PhD, Master's, Bachelor's, etc.), years of relevant experience, year in school, geographic location, credentials, qualifications, and other job-related factors.
Housing allowance and relocation benefit might be provided to intern candidates who meet the qualifications. Additional details on the compensation package will be provided to candidates during the interview process.
Futurewei Technologies, Inc. is proud to be an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status under federal, state, and local laws.

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