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Entry Level Machine Learning Jobs in Austin, TX (NOW HIRING)

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 ...

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.

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java ... Excellent written and verbal communication skills Required skills for data science/machine learning:

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Entry Level Machine Learning information

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

As of Jun 9, 2026, the average hourly pay for entry level machine learning in Austin, TX is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $18.85 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 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.

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 are the most commonly searched types of Machine Learning jobs in Austin, TX? The most popular types of Machine Learning jobs in Austin, TX are:
What are popular job titles related to Entry Level Machine Learning jobs in Austin, TX? For Entry Level Machine Learning jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning jobs in Austin, TX look for? The top searched job categories for Entry Level Machine Learning jobs in Austin, TX are:
What cities near Austin, TX are hiring for Entry Level Machine Learning jobs? Cities near Austin, TX with the most Entry Level Machine Learning job openings:
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Posted 12 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 candidate. 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.