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Entry Level Deep Learning Jobs (NOW HIRING)

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Machine Learning Engineer

Dallas, TX · On-site

$30 - $40/hr

Entry-Level AI/ML Developer Fulltime Candidate must be open to relocate We are looking for a ... Knowledge of deep learning and neural networks. * Familiarity with cloud platforms (AWS, Azure, or ...

New

XPENG

AI Intern - VLA Deployment

Santa Clara, CA · On-site

We are looking for an entry-level engineer or intern to support the optimization and deployment of ... This role is a strong fit for candidates who are excited about deep learning systems, model ...

XPENG

AI Intern - VLA Deployment

Santa Clara, CA

We are looking for an entry-level engineer or intern to support the optimization and deployment of ... This role is a strong fit for candidates who are excited about deep learning systems, model ...

SynergisticIT

data (Entry Level)

San Francisco, CA · On-site

$20 - $26.75/hr

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 Clients) Kindly ...

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 ...

VHB

Entry Level Civil Engineer

Worcester, MA · On-site

$80K - $83K/yr

Learning and development supported by evolving tools and technologies, including AI * Best-in-class ... by deep-rooted core values, one of which is diversity. Qualified applicants will receive ...

New

VHB

Entry Level Traffic Engineer

Watertown, MA · On-site

$80K - $83K/yr

Learning and development supported by evolving tools and technologies, including AI * Best-in-class ... by deep-rooted core values, one of which is diversity. Qualified applicants will receive ...

VHB

Entry Level Traffic Engineer

Boston, MA · On-site

$80K - $83K/yr

Learning and development supported by evolving tools and technologies, including AI * Best-in-class ... by deep-rooted core values, one of which is diversity. Qualified applicants will receive ...

Proctor & Gamble

Data Scientist

Cincinnati, OH

$85K - $122K/yr

... deep learning, and reinforcement learning), you will directly contribute to the development of ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

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All JobsDeep Learning JobsEntry Level Deep Learning Jobs

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 Jul 30, 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 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.

What engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially in senior or executive roles at large tech companies. These roles often require advanced skills, extensive experience, and sometimes stock options or bonuses as part of compensation packages.

Can I get an AI job with no experience?

Entry level deep learning positions often require some foundational knowledge of programming, machine learning concepts, and tools like Python and TensorFlow. While prior experience is helpful, candidates can improve their chances by completing relevant online courses, building projects, and gaining certifications to demonstrate their skills to employers.

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.

Which 3 jobs will survive AI?

Entry Level Deep Learning roles are likely to persist in fields requiring complex problem-solving, creativity, and domain expertise, such as AI research, data science, and machine learning engineering. These jobs involve tasks that are difficult to automate fully and often require specialized skills, programming knowledge, and continuous learning to adapt to evolving technologies.

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 are the key skills and qualifications needed to thrive as an Entry Level Deep Learning professional, and why are they important?

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 is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data science, and programming. These positions usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms. Entry-level roles in deep learning generally do not reach this salary level, which is reserved for experienced professionals with significant expertise and responsibilities.
More about Entry Level Deep Learning jobs
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? The most popular types of Deep Learning jobs are:
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 July 2026, with employment types broken down into 70% Full Time, 28% Part Time, and 2% Contract. Highlights an 68% Physical, 3% Hybrid, and 29% Remote job distribution, with an average salary of $89,171 per year, or $42.9 per hour.

Machine Learning Engineer

Tech Consulting

Dallas, TX • On-site

$30 - $40/hr

Full-time

Life

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Entry-Level AI/ML Developer

Fulltime

Candidate must be open to relocate


We are looking for a motivated Entry-Level AI/ML Developer to join our team. In this role, you will assist in designing, developing, and deploying machine learning models and AI-powered applications. You will work closely with senior developers, data scientists, and software engineers to solve real-world business problems using artificial intelligence.


Key Responsibilities

  • Develop, test, and maintain machine learning models.
  • Clean, preprocess, and analyze structured and unstructured datasets.
  • Assist in building AI-powered applications and automation solutions.
  • Write clean, efficient, and well-documented Python code.
  • Implement data pipelines for model training and inference.
  • Evaluate model performance and optimize algorithms.
  • Collaborate with cross-functional teams to understand business requirements.
  • Participate in code reviews and follow software development best practices.
  • Stay updated with the latest AI and machine learning technologies.


Required Qualifications

  • Bachelor's degree in computer science, Information Technology, Artificial Intelligence, Data Science, or a related field.
  • Basic understanding of machine learning algorithms and data structures.
  • Proficiency in Python programming.
  • Familiarity with libraries such as:
  • NumPy
  • Pandas
  • Scikit-learn
  • TensorFlow or PyTorch
  • Knowledge of SQL and databases.
  • Understanding of object-oriented programming concepts.
  • Familiarity with Git version control.
  • Strong analytical and problem-solving skills.
  • Good written and verbal communication skills.


Preferred Qualifications

  • Internship, academic project, or personal project in AI/ML.
  • Knowledge of deep learning and neural networks.
  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud).
  • Experience with APIs and REST services.
  • Understanding of data visualization tools.
  • Basic knowledge of Docker and Linux.


Thanks