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Deep Learning Ai Jobs (NOW HIRING)

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 ...

dontwt.ai

DEEP LEARNING ENGINEER

Windham, ME · On-site

$90 - $130/hr

We are seeking a talented and driven Deep Learning Engineer to join our team and play a critical role in developing and deploying sophisticated AI solutions for our clients. LOCATION New England ...

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 ...

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 · 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

$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 ...

Occulytics Inc.

Deep Learning Engineer

They are seeking a Deep Learning Engineer to build and deploy cutting-edge deep learning models ... Occulytics provides AI-powered solutions built exclusively for senior living sales and marketing.

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Deep Learning Ai information

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$11K

$83.9K

$140K

How much do deep learning ai jobs pay per year?

As of Sep 5, 2026, the average yearly pay for deep learning ai 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 is a deep learning AI professional?

Deep Learning AI professionals are experts who design, develop, and implement artificial intelligence systems that use deep neural networks to analyze complex data and solve tasks such as image recognition, natural language processing, and autonomous decision-making. They work with large datasets and advanced algorithms to build models that can learn and improve over time. These professionals often have a background in computer science, mathematics, or engineering, and are skilled in programming languages like Python and frameworks such as TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive as a deep learning AI engineer?

To thrive as a Deep Learning AI Engineer, you need a strong background in mathematics, programming (especially Python), and experience with neural networks, typically supported by a degree in computer science, engineering, or a related field. Proficiency with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of tools like CUDA for GPU acceleration, are essential; relevant certifications can be advantageous. Analytical thinking, creativity, and effective communication are important soft skills for solving complex problems and collaborating with cross-functional teams. These skills and qualities are crucial for building robust AI models and driving innovation in this rapidly evolving field.

What are some common challenges faced by professionals working in deep learning AI, and how can they be addressed?

Professionals in Deep Learning AI often encounter challenges such as managing large datasets, ensuring model accuracy, and addressing issues like overfitting. Collaboration with data engineers and domain experts is crucial to ensure high-quality data and relevant feature selection. Additionally, staying up-to-date with rapidly evolving frameworks and algorithms requires continuous learning and participation in knowledge-sharing within the team. Regular code reviews and experimentation with different architectures can help overcome technical obstacles and improve model performance.

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

AspectDeep Learning AiMachine Learning Engineer
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of neural networksDegree in Computer Science, Data Science, or related fields; programming skills in Python, R
Work EnvironmentResearch labs, AI development teams, tech companies focusing on AI modelsSoftware development teams, data analysis projects across various industries
Industry UsagePrimarily in AI research, autonomous systems, NLP, computer visionAcross industries for predictive modeling, data analysis, automation

Deep Learning Ai specialists focus on designing and implementing neural network models for complex AI tasks, often requiring advanced knowledge of deep neural networks. Machine Learning Engineers develop broader machine learning models, including traditional algorithms. While both roles require similar educational backgrounds, Deep Learning Ai roles are more specialized in neural networks and AI research, whereas Machine Learning Engineers work across a wider range of algorithms and applications.

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Deep Learning Ai jobs near you
Infographic showing various Deep Learning Ai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $83,885 per year, or $40.3 per hour.

Computer Vision Engineer Deep Learning & AI

AIToolboard

Palo Alto, CA • On-site

$180 - $260/hr

Other

Posted 4 days ago

Job description

Jobs / Computer Vision Engineer Deep Learning & AI

Computer Vision Engineer Deep Learning & AI

Full-time

About the Role

Mashgin is seeking a passionate Computer Vision Engineer in Palo Alto, CA. You will develop innovative Computer Vision algorithms in a collaborative environment that values hard work and impact.The ideal candidate should have over 4 years of coding experience and a Master's degree in Computer Science, with skills in C/C++, Python, and Deep Learning. The position offers a competitive salary from $180,000 to $260,000 annually along with excellent benefits.

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