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Entry Level Deep Learning Jobs (NOW HIRING)

DynaGen Lending LLC

Entry Level Mortgage Sales

Hallandale, FL · On-site

$34.80K - $47.10K/yr

Expert-Led Learning: You'll receive personalized instruction from experienced mortgage ... You won't be thrown into the deep end-we'll be with you every step of the way, offering mentorship ...

Aampower

Controls Engineer

Detroit, MI

$82.70K - $106.90K/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 ...

1440 Multiversity

Commis Chef (Entry-Level)

Scotts Valley, CA · On-site

$20.75 - $26.25/hr

... philanthropic learning destination nestled in the redwoods of the Santa Cruz Mountains. Every ... At 1440, hospitality is more than service - it's Deep Hospitality : an authentic and genuine love ...

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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 May 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 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 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 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 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.

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 May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $89,171 per year, or $42.9 per hour.

Entry Level Mortgage Sales

DynaGen Lending LLC

Hallandale, FL • On-site

$34.80K - $47.10K/yr

Full-time

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

About DynaGen Lending
Dynagen Lending is one of the nation's fastest-growing mortgage brokers, built on the belief that great people create great results. We provide our team with the training, resources, and support to excel in sales, operations, and leadership. We reward hard work, promote from within, and create clear paths for advancement while celebrating wins together and encouraging innovation at every level.
About the role
Looking for a career with growth potential in a thriving, fast-paced industry? Dynagen Lending is expanding, and we're seeking a Mortgage Loan Officer Assistant to help us deliver exceptional service to our clients. This is an entry level sales position that does not require previous mortgage experience! This is your chance to build a rewarding career with a company that values its people and promotes from within.
  • Expert-Led Learning: You'll receive personalized instruction from experienced mortgage professionals who will guide you through every step of the process.
  • Real-World Scenarios: Our training includes practical, on-the-job exercises, so you'll gain firsthand experience with the systems, tools, and processes you'll use every day.
  • Continuous Support: You won't be thrown into the deep end-we'll be with you every step of the way, offering mentorship and support as you learn and grow.
  • Skill Development: From mastering loan applications to understanding compliance regulations, you'll develop a well-rounded skill set that will prepare you for long-term success.
  • Our goal is to empower you with the knowledge and confidence you need to excel-while earning a paycheck from day one!
What you'll do
  • Support Loan Officers by gathering and reviewing client documents.
  • Communicate with clients, underwriters, and processors to keep loans on track.
  • Maintain accurate records and update loan files.
  • Deliver outstanding customer service and follow up on applications.
  • Ensure all lending processes comply with regulations and company policies.
Qualifications
  • Previous Sales Experience
  • Strong organizational skills and sharp attention to detail.
  • Excellent communication and customer service skills.
  • Willingness to learn and be responsive to feedback
  • Availability: Monday through Friday, 9 AM - 6 PM, with two late nights until 9 PM.
What We Offer
  • This role is 100% comission based with unlimited earning potential.
  • Health, dental, and vision insurance after 90 days.
  • 401(k) with company match.
  • Opportunities for career growth in a rapidly expanding company.
  • Supportive and collaborative work environment.

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