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Deep Learning Ai Jobs (NOW HIRING)

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

We are looking for MS/PhD interns to join our core AI team for a 3-6 month internship to tackle ... Train, tune, and optimize deep learning models using our large-scale compute clusters and truck ...

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 ... About the Role As a Staff Deep Learning Engineer in the Deep Learning team at Hayden, you are a ...

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

We are looking for MS/PhD interns to join our core AI team for a 3-6 month internship to tackle ... Train, tune, and optimize deep learning models using our large-scale compute clusters and truck ...

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 ...

Quidient

Staff Deep Learning Engineer

Columbia, MD · On-site

$185K - $235K/yr

Quidient is a deep tech AI company pioneering advancements in Generalized (5D) Scene Reconstruction ... Overview We are seeking a Staff Deep Learning Research Engineer to design, build, and train novel ...

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 ...

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Deep Learning Ai information

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$83.9K

$140K

How much do deep learning ai jobs pay per year?

As of Sep 11, 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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $83,885 per year, or $40.3 per hour.

Deep Learning Scientist - eFinancialCareers

Manhattan, NY • On-site

eFinancialCareers
See more jobs at eFinancialCareersexternal

Full-time

Re-posted 25 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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