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Entry Level Deep Learning Jobs in Texas (NOW HIRING)

SynergisticIT

Machine learning engineer

Austin, TX · On-site

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java ... NLP, Deep Learning, Data visualization, Scala, Django Our candidates always get projects with well ...

Ericsson

SLM Engineer (Entry Level)

Austin, TX · On-site

... ML, deep learning, or LLM and agent-based tooling. Eagerness to build deep technical expertise in one or more of the following domains: Silicon / DFT • Digital logic design fundamentals and ...

Pwc

AI & GenAI Data Scientist - Manager

Dallas, TX · On-site

$99K - $232K/yr

... Applying deep learning techniques and neural networks to improve predictive analytics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

San Antonio, TX · On-site

$99K - $232K/yr

... Applying deep learning techniques and neural networks to improve predictive analytics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Fort Worth, TX · On-site

$99K - $232K/yr

... Applying deep learning techniques and neural networks to improve predictive analytics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Austin, TX · On-site

$99K - $232K/yr

... Applying deep learning techniques and neural networks to improve predictive analytics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Franklin Team

Entry-Level Real Estate Agent

Katy, TX · On-site

$125K - $235K/yr

You'll develop a deep and practical understanding of the activities that actually move the needle ... year learning everything the hard and expensive way. You'll operate inside a genuinely ...

Franklin Team

Entry-Level Real Estate Agent

Katy, TX

$125K - $235K/yr

You'll develop a deep and practical understanding of the activities that actually move the needle ... year learning everything the hard and expensive way. You'll operate inside a genuinely ...

Motion Recruitment

Recruiter - Entry Level

Dallas, TX · On-site

$50K/yr

... deep expertise of a dedicated local market team beside you. • Facilitate positive process ... your learning throughout your time at Motion Recruitment • Ongoing one-on-one support and ...

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All JobsEntry Level Deep Learning JobsEntry Level Deep Learning Jobs in Texas

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 Jun 20, 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 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 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 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 are the most commonly searched types of Deep Learning jobs in Texas? The most popular types of Deep Learning jobs in Texas are:
What are popular job titles related to Entry Level Deep Learning jobs in Texas? For Entry Level Deep Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Entry Level Deep Learning jobs in Texas look for? The top searched job categories for Entry Level Deep Learning jobs in Texas are:
Entry Level Deep Learning jobs near you
Machine learning engineer

Machine learning engineer

SynergisticIT

Austin, TX • On-site

Other

Posted 23 days ago

Job description

Job Opportunity

SYNERGISTIC wants every candidate to know we are always here to support your efforts. Indeed engagement is a priority for all SYNERGISTICIT Employees. No matter what issue you are facing, either it's a job search or upskilling your IT portfolio, assistance in cracking interviews or anything, you can always count on a member of SynergisticIT to be there for you. We at Synergistic IT understand the problem and that's why for the past 10 years we have helped thousands of candidates get jobs at technology clients like Apple, Google, PayPal, Western Union, Bank of America, Visa, etc to name a few. We have an excellent reputation with the clients. Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/Data Scientists.

Who Should Apply:

  • Recent IT graduates looking to make their careers in the IT industry
  • Candidates having basic knowledge or with one or two years of experience in JAVA, C++, Core JAVA.
  • Candidates looking to upskill/enhance their IT skills.
  • Candidates who are serious about their future in the IT industry and have set big goals for themselves.
  • Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio.

Required Skills:

  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Mathematics
  • Must have Mathematics or statistics background
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming in Python and understanding of the software development life cycle
  • Knowledge of Statistics and mathematics concepts, Linear Algebra
  • Excellent written and verbal communication skills
  • Preferred skills: NLP, Deep Learning, Data visualization, Scala, Django

Our candidates always get projects with well-known IT firms like Google, Apple, PayPal, Amazon, etc. (Top Fortune Clients) Kindly research us at synergisticit.com.

Our screening process will consist of a verbal and written technical assessment to shortlisting candidates. No third party candidates or C2C candidates. To apply for this position, please apply to the posting. No phone calls please. Shortlisted candidates would be reached out.

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