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Entry Level Deep Learning Jobs (NOW HIRING)

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

Develop and implement machine learning and deep learning models. * Perform data preprocessing ... entry level candidates are welcome , provided they have practical AI/ML projects and strong ...

Skild AI

Research Engineer (San Francisco)

San Francisco, CA · On-site

$100K - $300K/yr

Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc ... Base Salary Range: $100,000 - $300,000 USD Seniority Level: Entry level Employment Type: Full-time ...

American Fidelity

Data Scientist

Oklahoma City, OK · On-site

Research and engineer analysis, forecasting, machine learning, deep learning, neural networks ... entry level Colleagues to management to senior executives. This includes the ability to speak ...

Americanfidelity

Data Scientist

Oklahoma City, OK · Hybrid

Research and engineer analysis, forecasting, machine learning, deep learning, neural networks ... entry level Colleagues to management to senior executives. This includes the ability to speak ...

SynergisticIT

data (Entry Level)

San Francisco, CA · On-site

$20 - $26.75/hr

Django * Deep Learning * NLP Benefits of working with our clients: E-Verified. Our Candidates always get projects with well-known IT firms like Google, Apple, PayPal, Amazon, etc. (Top Fortune ...

iSoftStone

Associate AI Developer

White Plains, NY · On-site

$20/hr

Vision & deep learning: Help develop and integrate CNNs and vision models (classification ... Education: entry level from, a degree/certificate program in Computer Science, AI/ML, Data Science ...

i3

Principal Data Scientist

Washington, DC · On-site

Deep Learning, NLP, Computer Vision, Predictive Modeling, Reinforcement Learning Big Data & Cloud ... Professional o Python (Entry Level / Associate / Professional) Apply Now Refer to a Friend ...

New

SynergisticIT

Entry Level Data Scientiest

Manchester, NH · On-site

$16.50 - $22.25/hr

... Deep Learning models for image classification Desired Candidate Profile Skills required: Hands on experience Python scripting Hands on experience in building Machine Learning and Artificial ...

Trunk Tools

Technical Intern (Masters or PhD)

$60/hr

About Job We are looking for entry level Data Scientists/Applied Scientists (through student worker ... deep learning library, such as PyTorch or TensorFlow. Payrate : $60/hr Centific is an equal ...

Trunk Tools

Technical Intern (Masters or PhD)

$40/hr

About Job We are looking for entry level Data Scientists/Applied Scientists (through student worker ... deep learning library, such as PyTorch or TensorFlow. Payrate : $40/hr Centific is an equal ...

Trunk Tools

Technical Intern (Masters or PhD)

$40/hr

About Job We are looking for entry level Data Scientists/Applied Scientists (through student worker ... deep learning library, such as PyTorch or TensorFlow. Payrate : $40/hr Centific is an equal ...

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Entry Level Deep Learning information

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$20.5K

$89.2K

$196.5K

How much do entry level deep learning jobs pay per year?

As of Aug 20, 2026, the average yearly pay for entry level deep learning in the United States is $89,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $148,500.00 per year, depending on experience, location, and employer.

What are entry level deep learning jobs?

Entry level deep learning jobs are positions designed for individuals who are new to the field of artificial intelligence and machine learning, typically recent graduates or those with limited professional experience. These roles often involve assisting in building, training, and testing neural network models, as well as preprocessing data and supporting senior data scientists or machine learning engineers. Entry level positions may also include tasks such as researching recent advancements, implementing standard algorithms, and contributing to team projects under supervision. A strong foundation in Python, deep learning frameworks like TensorFlow or PyTorch, and an understanding of basic machine learning concepts are usually required.

What are the key skills and qualifications needed to thrive as an entry level deep learning professional?

To thrive as an Entry Level Deep Learning professional, you need a solid understanding of machine learning fundamentals, mathematics (especially linear algebra and calculus), and proficiency in programming languages such as Python. Experience with frameworks like TensorFlow or PyTorch and familiarity with version control systems like Git are typically required. Strong problem-solving abilities, eagerness to learn, and the ability to work collaboratively set candidates apart in this field. These skills and qualities are essential for building, troubleshooting, and improving deep learning models in a rapidly evolving technical landscape.

What are some common challenges faced by entry level deep learning professionals, and how can they be addressed?

Entry-level deep learning professionals often encounter challenges such as understanding complex architectures, managing large datasets, and optimizing model performance. Navigating unfamiliar frameworks and debugging code can also be daunting at first. These challenges can be addressed by seeking mentorship from experienced colleagues, participating in code reviews, and dedicating time to hands-on projects. Additionally, staying updated with the latest research and utilizing online communities or forums can provide valuable support and resources.

What is the difference between Entry Level Deep Learning vs Entry Level Machine Learning?

AspectEntry Level Deep LearningEntry Level Machine Learning
Required CredentialsBachelor's in CS, Data Science, or related; familiarity with neural networksBachelor's in CS, Data Science, or related; basic understanding of algorithms
Work EnvironmentResearch labs, tech companies, AI startupsTech firms, finance, healthcare, and various industries
Employer & Industry UsageAI-focused roles, research institutionsBroader industry applications, including analytics and automation
Common Search & ComparisonOften compared for specialization in neural networks and deep architecturesMore general, covers broader ML techniques

Entry Level Deep Learning focuses on neural networks and complex models, often requiring knowledge of frameworks like TensorFlow or PyTorch. Entry Level Machine Learning covers a wider range of algorithms and techniques. Both roles share foundational skills but differ in specialization and application scope.

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What cities are hiring for Entry Level Deep Learning jobs?

Cities with the most Entry Level Deep Learning job openings:

What are the most commonly searched types of Deep Learning jobs?

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What states have the most Entry Level Deep Learning jobs?

States with the most job openings for Entry Level Deep Learning jobs include:

What job categories do people searching Entry Level Deep Learning jobs look for?

The top searched job categories for Entry Level Deep Learning jobs are:

Entry Level Deep Learning jobs near you
Infographic showing various Entry Level Deep Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $89,171 per year, or $42.9 per hour.

Software Engineer, Deep Learning Libraries - New College Graduate 2026

NVIDIA Gruppe

Santa Clara, CA • On-site

$124 - $242/hr

Other

Posted 2 days ago

New

Job description

NVIDIA's Deep Learning Libraries Team is looking for excellent software engineers to enable the next wave of NVIDIA’s highest performing deep learning software. The mission is to design and develop scalable and modular software products that enable breakthroughs in problems from image classification to speech recognition to natural language processing and artificial intelligence. Join the team which is building software which will be used by the entire world.

What you'll be doing:
  • Design and develop robust and scalable GPU-accelerated deep learning libraries, using C++ and object-oriented design.
  • Building scalable automation for build, test, integration, and release processes for publicly distributed deep learning libraries
  • Maintain and test environments for new hardware, new OSes, and platforms by using industry-standard tools (e.g., Kubernetes, Jenkins, Docker, CMake, Gitlab, Jira, etc)
  • Participate in a high-energy and dynamic company culture to develop state of the art software and hardware products and practice hardware-software co-design.
What we need to see:
  • Strong programming skills in C/C++
  • Pragmatic approach to solving problems and collaboration
  • Experience in SCM (e.g., Git, Perforce) and build systems (e.g., Make, CMake, Bazel)
  • Passion for “it just works” automation and enabling team members
  • The ability to work independently, define project goals and scope, and lead your own development effort.
  • Graduating with a BS, MS or PhD in Computer Science, Compute Engineering or similar (or equivalent experience)
Ways to stand out from the crowd:
  • Knowledge of CPU and/or GPU architecture. CUDA or OpenCL programming experience strongly desired
  • Experience in optimizing for high performance computing, linear algebra algorithms and parallel implementations.
  • Experience in compiler optimizations
  • Experience with code coverage and static code analysis tools

This is an opportunity to have a wide impact at NVIDIA by improving development velocity across our many software projects. Are you creative, driven, and autonomous? Do you love a challenge? If so, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 18, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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