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

As an Entry Level Software Developer, you'll work with cross functional teams to design, build ... machine learning, APIs, testing version control and the software development lifecycle. • ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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 ...

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 ...

Associate Data Engineer 2027

Austin, TX · On-site

$113K - $136K/yr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Ability to incorporate a variety of statistical and machine learning techniques. * Basic ...

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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 Sep 2, 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 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 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.

How to get into entry level machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio. Internships, certifications, and participating in competitions like Kaggle can also improve your chances of entering the field without prior experience.

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:

Infographic showing various Entry Level Machine Learning job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $36,007 per year, or $17.3 per hour.

Software Developer - Entry Level

CGI Inc.

Austin, TX • On-site

Full-time

Posted 9 days ago


CGI rating

7.1

Company rating: 7.1 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

149th of 226 rated it services


Job description

Software Developer - Entry Level
Category: Software Development/ Engineering
Main location: United States, Texas, Austin
Position ID:J0826-1503
Employment Type: Graduate
Position Description:
Are you driven by technology's ability to transform how businesses deliver real impact? Do you enjoy solving problems, building technology solutions, and collaborating with others to bring ideas to life?
If so, CGI offers a place where you can grow your career, build your skills, and make a real impact from day one.
As an Entry Level Software Developer, you'll work with cross functional teams to design, build, test, and enhance technology solutions that address client needs. You'll gain hands-on experience with modern development practices and AI-enabled workflows while building strong foundations in software development, problem-solving, and collaborative solution delivery.
Fall Application Period: August 24, 2026, through November 6, 2026
Position is in Austin, TX in a hybrid working model
Your future duties and responsibilities:
How You'll Make an Impact
• Develop a strong understanding of your client's industry, organization, customers, business objective and technology needs.
• Build trusted relationships with clients and teammates by asking thoughtful questions, actively listening, and clarifying business and technical needs.
• Collaborate with business and technical stakeholders to understand requirements and translate them into practical software solutions.
• Design, develop and maintain software features and applications using programming languages, frameworks, and development tools based on project needs.
• Work collaboratively throughout the software development lifecycle to design, code, test, debug and enhance reliable technology solutions.
• Support application integrations, data connections, databases, and other technical components based on solution and project needs.
• Troubleshoot issues, test functionality, and contribute to code reviews and continuous improvements that support quality, security, performance, and maintainability.
• Use modern and AI-enabled development tools to support coding, research, documentation, testing, debugging, and solution development.
• Apply responsible AI practices and appropriate human oversight by reviewing and validating AI-assisted outputs for accuracy, security, quality and alignment with development standards.
• Document code, designs, and processes and collaborate with cross-functional team members throughout the project lifecycle to support successful solution delivery and ongoing improvement.
Required qualifications to be successful in this role:
What You'll Bring
• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or related field.
• Authorization to work in the United States on a permanent basis without current or future employer sponsorship. Certain positions may also require U.S. Citizenship and/or the ability to obtain and maintain a U.S. government security clearance based on client or government requirements.
• Curiosity, professionalism, and a strong desire for continuous learning.
• Strong analytical and problem solving skills, with comfort navigating ambiguity and complex information.
• Clear written and verbal communication skills with the ability to simplify and explain complex ideas.
• Collaborative mindset and ability to work effectively with fast-paced cross functional teams.
• Foundational proficiency in full-stack development in at least two programming languages (one frontend and backend)
• Foundational understanding of data/AI engineering and analysis concepts and technologies, such as object-oriented programming, databases/SQL, business intelligence, artificial intelligence and machine learning, APIs, testing version control and the software development lifecycle.
• Understanding of Enterprise Resource Planning and Customer Relationship Management tools
• Hands on software development experience through coursework, internships, research, or personal projects.
• Interest in learning and responsibly using AI-enabled development tools, cloud technologies, frameworks and other emerging technologies based on project needs.
• Exposure to the public sector (i.e., State, Local, and/or Higher Education) and/or energy sectors is preferred but not required
We're a global company of owners. Over 90,000 partners strong, we bring our diverse backgrounds and perspectives together to solve some of IT and business consulting's toughest problems for some of the world's best companies. Looking for a place that empowers you to explore your full potential and shape your own career? The scale and reach of our impact offer you just that. Join a team of great people, collaborate on meaningful work, and serve the communities you call home while you do it.
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set level, experience and training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $58,000 - $95,700.
#CGIEarlyCareers
What you can expect from us:
Together, as owners, let's turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because...
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.
Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team-one of the largest IT and business consulting services firms in the world.
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.
CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.
We make it easy to translate military experience and skills! Click here to be directed to our site that is dedicated to veterans and transitioning service members.
All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.

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