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Deep Learning Ai Jobs (NOW HIRING)

Hayden AI

Staff Deep Learning Engineer

San Francisco, CA · On-site

$230K - $299K/yr

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

New

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

$14/hr

The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy-all without herbicides. This innovative ...

Element Solutions

Machine Learning/AI Engineer

The Machine Learning/AI Engineer will work across the full model lifecycle-from data preparation ... Apply deep expertise in PyTorch and/or TensorFlow to develop and fine-tune advanced machine ...

Nvidia Corporation

Senior Deep Learning Engineer

Redmond, WA · On-site

$62 - $79.75/hr

We are now looking for a Senior Deep Learning Engineer! At NVIDIA, we are at the forefront of ... As NVIDIA makes significant strides in AI datacenters, our team holds a central role in maximizing ...

Targeted Talent

Senior Deep Learning Engineer

Austin, TX · On-site +1

$130K - $180K/yr

If you thrive on pushing the boundaries of AI technology, this role is for you! Requirements ... Proficiency in deep learning frameworks like Tensorflow and/or PyTorch * Experience with CNNs ...

Nvidia

Senior Deep Learning Engineer

Santa Clara, CA · On-site

$65 - $83.75/hr

We are now looking for a Senior Deep Learning Engineer!At NVIDIA, we are at the forefront of ... As NVIDIA makes significant strides in AI datacenters, our team holds a central role in maximizing ...

Nvidia

Senior Deep Learning Engineer

Redmond, WA

$62 - $79.75/hr

We are now looking for a Senior Deep Learning Engineer!At NVIDIA, we are at the forefront of ... As NVIDIA makes significant strides in AI datacenters, our team holds a central role in maximizing ...

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 ... Experience in hybrid AI / DSP algorithm development is a plus but not required. * A passion for ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI, and cloud-based AI infrastructure. Responsibilities • Build and enhance machine learning models ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI, and cloud-based AI infrastructure. Responsibilities • Build and enhance machine learning models ...

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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 Jul 3, 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 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.

What is the main job of deep learning in AI?

The main job of deep learning in AI is to develop models that can automatically learn complex patterns and representations from large amounts of data, enabling tasks such as image recognition, natural language processing, and speech understanding. Deep learning engineers design, train, and optimize neural networks using tools like TensorFlow or PyTorch to improve AI system performance.

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 salary of AI and deep learning?

The salary for roles in AI and deep learning varies based on experience, location, and education, but typically ranges from $80,000 to over $150,000 annually for skilled professionals. Entry-level positions may start around $70,000, while senior roles or those requiring advanced skills in machine learning frameworks and programming languages can earn higher salaries.

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

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.

Which 3 jobs will survive AI?

Deep Learning AI professionals will continue to find roles in research, model development, and AI ethics, as these areas require specialized expertise and human oversight. Jobs involving complex problem-solving, creativity, and emotional intelligence, such as AI research scientists, data scientists, and AI ethics specialists, are less likely to be fully automated. Skills in programming, data analysis, and understanding of AI frameworks will remain valuable in these roles.

What are Deep Learning AI professionals?

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills, extensive experience, and leadership responsibilities. These roles may involve overseeing AI projects, developing innovative algorithms, and managing teams, with compensation reflecting the expertise and impact of the position.
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Deep Learning Ai jobs near you
Infographic showing various Deep Learning Ai job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $83,885 per year, or $40.3 per hour.

Deep Learning Scientist - eFinancialCareers

eFinancialCareers

Manhattan, NY • On-site

Full-time

Posted 16 days ago

Job description

Are you ready to be at the forefront of deep learning research? Our growth-stage company, fresh from securing significant investment, is on the lookout for an exceptionally talented Deep Learning Scientist. This is a rare chance to join one of the most innovative AI labs in the industry, where machine learning and deep learning are not just part of our strategy but the heart of our success.

What We Offer:

  1. A Cutting-Edge Environment: Dive into a workplace that embodies the cutting edge of AI research, offering unparalleled freedom and resources to explore and implement DL & ML technologies.
  2. Autonomy and Influence: You will have the autonomy to shape the direction of our AI initiatives, deciding 'how and when to apply DL & ML research' to drive our business forward.
  3. Collaboration with Industry Leaders: Work alongside some of the world's most respected professionals in AI, in an environment that thrives on collaboration and the entrepreneurial spirit.
  4. Impactful Work: Your work will not only push the boundaries of AI but also have a tangible impact across various units within our business, thanks to your engagement with key stakeholders.

Who We Are Seeking:

  1. An Expert in Deep Learning Research: Demonstrates a consistent history of outstanding research, including experience with transition models and sequence-to-sequence architecture; proficiency in reinforcement learning and deep neural network concepts is essential to bring value.
  2. A Champion of Collaboration: Exudes enthusiasm for cooperative work, eager to exchange knowledge and grow alongside some of the sector's brightest.

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