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Entry Level Machine Learning Jobs in Texas (NOW HIRING)

Ericsson

SLM Engineer (Entry Level)

Austin, TX · On-site

Build and apply AI and machine learning, from classical ML to modern LLM and agentic approaches, to automate engineering workflows, accelerate debug and triage, and extract insight from silicon and ...

SynergisticIT

Junior Data Engineer

Arlington, TX

Excellent written and verbal communication skills For data Science/Machine learning REQUIRED SKILLS ... entry level position the additional skills are the only way a candidate can be picked by clients.

SynergisticIT

Java React Developer

Arlington, TX

$46 - $59.50/hr

Excellent written and verbal communication skills Required Skills for Data Science/Machine Learning ... entry level position each additional Technical skill helps a candidate's resume to be picked by ...

WGI

Graduate Engineer- Electrical

Austin, TX · On-site

Overview We are currently seeking an entry level Graduate Engineer- Electrical with 0-2 years of ... Prior experience or knowledge of coding and/or machine learning technologies * Applicants must be ...

WGI

Graduate Engineer- Electrical

Austin, TX · On-site

Overview We are currently seeking an entry level Graduate Engineer- Electrical with 0-2 years of ... Prior experience or knowledge of coding and/or machine learning technologies * Applicants must be ...

WGI

Graduate Engineer- Electrical

Austin, TX · On-site

Overview We are currently seeking an entry level Graduate Engineer- Electrical with 0-2 years of ... Prior experience or knowledge of coding and/or machine learning technologies * Applicants must be ...

WGI

Graduate Engineer- Electrical

Austin, TX · On-site

Overview We are currently seeking an entry level Graduate Engineer- Electrical with 0-2 years of ... Prior experience or knowledge of coding and/or machine learning technologies * Applicants must be ...

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Entry Level Machine Learning information

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$11

$16

$20

How much do entry level machine learning jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for entry level machine learning in Texas is $16.27, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $17.69 per hour, depending on experience, location, and employer.

What types of projects can an entry-level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often found in large tech companies or specialized firms. These positions usually require extensive experience, advanced skills in deep learning, data science, and proficiency with tools like TensorFlow or PyTorch, along with leadership responsibilities and sometimes equity or bonuses. Such salaries are rare and generally reflect seniority, expertise, and the strategic importance of AI initiatives within organizations.

What are the key skills and qualifications needed to thrive as an Entry Level Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

Which 3 jobs will survive AI?

Entry level machine learning roles are likely to persist as they require specialized skills in data analysis, programming, and understanding complex algorithms. Jobs that involve creative thinking, emotional intelligence, or physical tasks, such as data scientists, AI specialists, and software engineers, are expected to remain in demand despite AI advancements.

How to get into machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, mathematics, and data analysis. Gaining skills through online courses, tutorials, and practicing with projects using tools like Python and libraries such as scikit-learn or TensorFlow can help build a portfolio. Earning certifications or completing relevant coursework can also improve job prospects for beginners.

What are entry level machine learning jobs?

Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.

What Are Entry-Level Machine Learning Jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What engineers make $500,000?

Senior engineers in fields like software, electrical, or aerospace engineering can reach or exceed $500,000 annually, especially with experience, specialized skills, and leadership roles. High-paying positions often require advanced expertise, certifications, and work in competitive industries or companies with lucrative compensation packages.
More about Entry Level Machine Learning jobs
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What job categories do people searching Entry Level Machine Learning jobs in Texas look for? The top searched job categories for Entry Level Machine Learning jobs in Texas are:
What cities in Texas are hiring for Entry Level Machine Learning jobs? Cities in Texas with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
Entry/Junior Level Software Engineer

Entry/Junior Level Software Engineer

SynergisticIT

Dallas, TX

Other

Posted 13 days ago

Job description

Synergisticit Job Opportunities

Since 2010 Synergisticit has helped jobseekers differentiate themselves by providing candidates the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT we just don't focus on getting you a job we make careers.

All positions are open for all visas and US citizens.

We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, visa, walmart labs etc to name a few.

We have an excellent reputation with the clients. Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions with clients.

Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We assist in filing for STEM extension and also for H1b and green card filing to candidates.

If you applied for a job and got emails from our job placement program team please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team.

We regularly interact with the top tech companies to give our candidates a competitive advantage-please see us exhibiting at Oracle Cloud World/Oracle Java One (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023.

For preparing for interviews please visit synergisticit interview questions.

We are looking for the right matching candidates for our clients. Please apply via the job posting.

Required skills for Java/full stack/software programmer:

  • Bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Project work on the skills
  • Knowledge of core Java, javascript, C++ or software programming
  • Spring boot, microservices, Docker, Jenkins and REST API's experience
  • Excellent written and verbal communication skills

Required skills for data science/machine learning positions:

  • Bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT
  • Project work on the technologies needed
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of statistics, SAS, Python, computer vision, data visualization tools
  • Excellent written and verbal communication skills

Preferred skills: NLP, text mining, Tableau, PowerBI, SAS, Tensorflow

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements.

No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates

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