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

WGI

Graduate Engineer- Electrical

Austin, TX · On-site

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

Noveon Magnetics

HD/OG Operator in Training

San Marcos, TX · On-site

$18.50 - $21/hr

About this role The HD/OG Operator in Training is an entry level, hands-on role responsible for ... Learning the operation and setup of the HD/OG machine systems within the magnet production process.

Noveon

HD/OG Operator in Training

San Marcos, TX · On-site

$17.50 - $20/hr

About this role The HD/OG Operator in Training is an entry level, hands-on role responsible for ... Learning the operation and setup of the HD/OG machine systems within the magnet production process.

Noveon

Jet Mill Operator in Training (O.I.T)

San Marcos, TX · On-site

$15.75 - $20.75/hr

This position serves as an entry level operator role designed to build you into an advanced ... Technical & Operational Foundations • Learning to operate the Jet Mill and machine systems within ...

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Entry Level Machine Learning information

See Austin, TX salary details

$12

$17

$21

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.
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Cities near Austin, TX with the most Entry Level Machine Learning job openings:

Entry Level Machine Learning jobs near you
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 Engineer Intern - Entry Level Sales Program 2027

IBM

Austin, TX

Full-time

Posted 17 days ago

IBM rating

8.0

Company rating: 8.0 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

124th of 247 rated software companies

Job description

Introduction

As an AI Technical co-op, you will specialize in computer science/ software development and/or data science to help our IBM partners deploy and adopt IBM's software portfolio. You will work closely with partners, product managers, and development teams to understand partner business requirements and implement solutions that address complex business challenges with IBM software products with primary focus on watsonx offerings.

With a hands-on approach to installing, coding, demonstrations and communicating, you will be able to showcase IBM solutions as a product SME. You will design and articulate architectures compatible with a partner's technology stack via use-case identification, solution architecture design, and MVP (minimal viable product) builds.

With technical expertise and a consultative style, you'll quickly build credibility as a trusted advisor at all levels with partners and IBM colleagues. To drive expansion and renewal growth, you'll guide leading enterprise companies through AI approaches that realize the full value of their IBM investments.

Your role and responsibilities

Your primary responsibilities will include, but not be limited to:

  • Understanding an IBM Partner's technical needs: Understand partner primary needs and establish yourself as a trusted technical expert for their migration, deployment, and adoption of IBM's AI and Hybrid Cloud offerings.
  • Developing AI Solutions: Using your engineering skills to code/ build MVPs using python, open source frameworks, RedHat and IBM product portfolio (will learn on the job). These solution demos can also be packaged as assets on a portal created specifically for engaging partners through a Digital channel.
  • Leading Persuasive Technical Conversations: Lead technical discussions that persuade partners to act based on their requirements and the value provided by IBM's solutions.
  • Deploying and Developing Enterprise Applications: Performing hands-on engineering activities to install, develop, train, deploy, configure and run latest IBM AI technologies in a partner's dev or production environment.
  • Contribute to Use Case Exploration and Business Framing: Be a key contributor to use case exploration and business framing workshops, develop client value realization models.

To be successful in this role, you will need:

  • Confidence to contact and engage with a partner's product engineering team and deliver an elevated experience in technical discussions around IBM AI products and how it can enhance a partner's product value.
  • A desire to continually learn new technologies and how to apply their value in a client environment.
  • Motivation to achieve technical objectives and high client satisfaction.
  • Embrace curiosity and a growth mindset.

Required education

High School Diploma/GED

Preferred education

Bachelor's Degree

Required technical and professional expertise

  • Technical Education: Future B.S. or M.S. degree in Computer Science, Data Science, Engineering, Information Systems, or equivalent technical degree/experience.
  • Client Focused: Asks open-ended questions and understands needs to address business challenges.
  • Tech Savvy: Conversant about technology, latest industry trends and how it is being applied to address business challenges. Hands-on development skills using Python, LLMs and popular GenAI programming frameworks etc.
  • Team Player: Demonstrates team collaboration and can navigate different communication styles.
  • Excellent Communication Skills: Possess verbal, written, and interpersonal skills that are engaging, compelling and influential.
  • Self-Motivation and Problem-Solving Aptitude: A natural inclination toward self-motivation and initiative, in addition to the ability to navigate data and people to find answers and present solutions.

Preferred technical and professional experience

  • Experience with RedHat OpenShift and Kubernetes.
  • Familiar with user experience design using software applications.
  • Experience with Machine Learning, Deep Learning, Large Language Models.
  • Experience with Generative AI and applications that use Text2SQL and Retrieval Augmented Generation (RAG).
  • Experience with AI Operations.
  • Experience with Data Engineering techniques and Lakehouse technologies, e.g. Spark, Presto, Hive.
  • Knowledge with Unix including software installs.

ABOUT BUSINESS UNIT

IBM has a global presence, operating in more than 175 countries with a broad-based geographic distribution of revenue. The company's Global Markets organization is a strategic sales business unit that manages IBM's global footprint, working closely with dedicated country-based operating units to serve clients locally. These country teams have client relationship managers who lead integrated teams of consultants, solution specialists and delivery professionals to enable clients' growth and innovation. By complementing local expertise with global experience and digital capabilities, IBM builds deep and broad-based client relationships. This local management focus fosters speed in supporting clients, addressing new markets and making investments in emerging opportunities. Additionally, the Global Markets organization serves clients with expertise in their industry as well as through the products and services that IBM and partners supply. IBM is also expanding its reach to new and existing clients through digital marketplaces.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role. We consider qualified applicants with criminal histories, consistent with applicable law.

IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

Job Title

Software Engineer Intern - Entry Level Sales Program 2027

Date posted

14-Aug-2026

Job ID

129258

City / Township / Village

Austin

State / Province

Texas

Country

United States

Work arrangement

Hybrid

Area of work

Sales

Employment type

Co-Op (Fixed Term)

Contract type

Internship

Projected Minimum Salary per year

44,000.00

Projected Maximum Salary per year

80,000.00

Position type

Internship

Travel required

Some travel may be required based on business demand

Company

(0147) International Business Machines Corporation

Shift

General (daytime)

Is this role a commissionable/sales incentive based position?

No

What IBM employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

IBM logo

About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

Social media

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