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Entry Level Deep Learning Jobs in Texas (NOW HIRING)

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... 5-5' feet deep. It is perfect for beginner swimmers and that is our focus. We are looking for ... It is a great entry level job for 14-15 year old's who want to progress in the aquatics field.

SIE Tutor

Amarillo, TX · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of SIE examination content including knowledge of capital markets, understanding of ...

CompTIA A+ Tutor

Edinburg, TX · Remote

$25 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

SIE Tutor

Dallas, TX · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of SIE examination content including knowledge of capital markets, understanding of ...

CompTIA A+ Tutor

Round Rock, TX · Remote

$25 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

SIE Tutor

Grand Prairie, TX · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of SIE examination content including knowledge of capital markets, understanding of ...

SIE Tutor

Sugar Land, TX · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of SIE examination content including knowledge of capital markets, understanding of ...

SIE Tutor

Brownsville, TX · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of SIE examination content including knowledge of capital markets, understanding of ...

CompTIA A+ Tutor

Missouri City, TX · Remote

$25 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

CompTIA A+ Tutor

Amarillo, TX · Remote

$25 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

CompTIA A+ Tutor

Carrollton, TX · Remote

$25 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

SIE Tutor

Mckinney, TX · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of SIE examination content including knowledge of capital markets, understanding of ...

SIE Tutor

Bryan, TX · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of SIE examination content including knowledge of capital markets, understanding of ...

Showing results 41-60

Entry Level Deep Learning information

See Texas salary details

$18K

$78.4K

$172.8K

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

As of Aug 24, 2026, the average yearly pay for entry level deep learning in Texas is $78,420.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,418.00 and $130,595.00 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.

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

The most popular types of Deep Learning jobs in Texas are:

Infographic showing various Entry Level Deep Learning job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $78,420 per year, or $37.7 per hour.

Associate Account Executive , Advertising/Marketing

Amazon

Austin, TX

Full-time

Re-posted 2 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,111 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

This is not your typical entry-level sales role - it's a launchpad.
At Amazon, our peculiar culture and obsession with delighting customers extends to everything we do - including what we call our teams. While the industry knows this role as a SDR, BDR, Associate Account Executive, Amazon's customer-first DNA means we call our team members "Customer Acquisition Representatives" (CARs). It's more than a name - it reflects our belief that every interaction should start and end with the customer

As a CAR, you'll accelerate pipeline growth, navigate complex customer landscapes, shift gears between strategic thinking and high-impact execution, and put customers in the driver's seat of their cloud journey. Every CAR needs fuel - yours will be curiosity, coaching, and the full support of the world's leading cloud platform.
As a CAR, you will take the lead in unlocking growth potential for both new and existing AWS customers. We are one of the principal sources of new pipeline that fuels the AWS engine - engaging the unengaged accounts and contacts to drive pipeline that turns into revenue

Using cutting-edge AI tools and data-driven insights, you'll identify whitespace opportunities and develop innovative strategies to reach unengaged accounts at scale. You'll be part of shaping how technology is deployed across thousands of organizations - from enabling rapid, individually customized cancer treatments to helping Fortune 500 companies meet their carbon emissions goals. The AWS technology stack is the backbone of some of the most innovative solutions to the world's most pressing problems.
Your career path is clear

This role is designed as the entry point into AWS's North American sales organization. We don't need the perfect candidate, but we do want people who are curious, coachable, and willing to learn. We've developed hundreds of early-career professionals into full cycle sellers as Cloud Sales Representatives (CSRs), many within 18-24 months.

You'll be paired with mentors and have access to structured development programs that accelerate your growth from day one.
According to Gartner, AWS is the leading cloud provider in both ability to execute and completeness of vision. With only 5% of all IT spend in the cloud, we are still in the early stages of what is possible - and with the explosion of generative AI, the opportunity has never been larger. You'll be at the forefront, equipped with the most advanced AI-powered sales technology in the industry

Consider this your pit crew advantage - the tools, training, and teammates that keep you performing at your best.
Key job responsibilities
Partner closely with Account Teams to develop a deep understanding of the primary industries, accounts, and personas within your territories - building relationships from technical admins to Line of Business executives.
Lead top-of-funnel activity: conduct high-quality account research and source net-new contacts at scale to execute high-volume prospecting, lead qualification, and opportunity generation across your assigned territories.
Drive net-new business via customer acquisition by leveraging one-to-one and one-to-many outbound campaigns, in addition to qualifying leads from marketing and partner channels.
Expand services breadth and consumption within your existing customer base via account planning and territory management.
Deliver results against input and output goals, including: contacts sourced, leads qualified, customer calls completed, meetings scheduled, and opportunities created and launched.
Leverage AI-powered sales intelligence platforms, predictive analytics, and automation tools to identify high-propensity accounts, prioritize outreach, and optimize pipeline development in Salesforce.
Stay ahead of the curve with next-generation engagement strategies using generative AI, agentic workflows, and advanced personalization engines - you'll be on the cutting edge of how AI transforms B2B sales, continuously testing and iterating on new approaches to reach unengaged accounts.
Collaborate with teammates to share best practices, contribute to team learning, and collectively raise the bar for customer engagement.
We know great candidates don't always check every box. If you're excited about this role but your experience doesn't perfectly match, we encourage you to apply.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply

If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious

Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional


Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US