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Entry Level Deep Learning Jobs (NOW HIRING)

Controls Engineer

Detroit, MI · On-site

$82K - $106K/yr

Lead and mentor co-ops, interns, entry level engineers. * Support plants and their controls teams ... Experience with Deep Learning Technology * Experience with data analysis * Basic 3D modeling ...

Experience with Machine Learning, Deep Learning, Large Language Models. * Experience with ... Job Title Software Engineer Intern - Entry Level Sales Program 2027 Date posted 14-Aug-2026 Job ID ...

$28K - $33K/yr

Experience with Machine Learning, Deep Learning, Large Language Models. * Experience with ... Job Title Project Manager Intern - Entry Level Sales Program 2027 Date posted 14-Aug-2026 Job ID ...

Showing results 41-60

Entry Level Deep Learning information

See salary details

$20.5K

$89.2K

$196.5K

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

As of Sep 10, 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?

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 other helpful pages are available for Entry Level Deep Learning?

Other pages related to Entry Level Deep Learning:

Infographic showing various Entry Level Deep Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $89,171 per year, or $42.9 per hour.

Entry Level Insurance Sales

Lagrange, GA • On-site

$30K - $65K/yr

Full-time

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


Job description

Welcome to Creative Legacy Group, where we believe in building lasting relationships and providing exceptional value to our community in LaGrange, Georgia. We're not just helping clients with insurance; we're helping people secure their futures and protect what matters most to them. If you're just starting your career and have a passion for people, a curious mind, and a desire to make a real impact, this could be the perfect place for you. We're looking for enthusiastic individuals to join our growing team as Entry Level Insurance Sales representatives. Youll dive deep into learning about insurance, not just the policies, but the heart behind why people need them. We offer a supportive environment where you can learn from experienced professionals, gain hands-on experience, and develop the skills needed to become a trusted advisor. Think of this as your launchpad to a fulfilling career where your dedication is valued and your growth is our priority. Come grow with us!


Benefits

Annual Base Salary + Commission

Hands on Training

Career Growth Opportunities

Fresh coffee and snacks

Mon-Fri Schedule


Responsibilities
  • Engage with potential clients over the phone to understand their insurance needs and concerns.
  • Learn and master the details of various insurance products offered by Creative Legacy Group.
  • Assist senior sales representatives in client consultations and policy explanations.
  • Develop effective communication strategies to build rapport and trust with clients.
  • Schedule and follow up on appointments and client interactions.
  • Contribute to team efforts by sharing insights and supporting colleagues.

Requirements
  • High school diploma or equivalent required.
  • Excellent interpersonal and communication skills.
  • A genuine desire to help others and build relationships.
  • Ability to learn and adapt quickly.
  • Strong organizational skills and attention to detail.
  • Coachability and willingness to receive feedback.