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Entry Level Machine Learning Jobs in Pflugerville, TX

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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 27, 2026, the average hourly pay for entry level machine learning in Pflugerville, TX is $16.43, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $17.88 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.
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Entry Level Machine Learning jobs near you

Supplier Engineer (New College Graduate) - (E2)

Amat

Austin, TX

$78K - $108K/yr

Full-time

Posted 19 hours ago

Job description

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

What We Offer

Salary:

$78,500.00 - $108,000.00

Location:

Austin,TX, Santa Clara,CA

You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

Applied Materials - New College Graduate Opportunity

About Applied Materials

Applied Materials is the leader in materials engineering solutions to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. Our innovations make possible the technology shaping the future. To achieve this, we employ some of the best, brightest and most talented people in the world who work together as part of a winning team.

Position Overview

Applied Materials is seeking recent college graduates for the position of Supplier Quality Engineer. This role offers an exciting opportunity to work at the forefront of technological innovation, especially in the rapidly evolving field of additive manufacturing. You will help shape the quality standards for advanced materials and components, collaborating with cross-functional teams to make a tangible impact on our supply chain and product excellence.

Job Description

The Supplier Quality Engineer (E2, Entry-Level) supports the development, monitoring, and continuous improvement of supplier quality performance across Applied Materials' supply base. This role works closely with engineering, manufacturing, procurement, and suppliers to ensure components, materials, and processes meet defined quality, reliability, and manufacturability requirements.

In this position, the engineer applies data-driven quality methods to analyze supplier performance, participates in supplier audits and assessments, and supports root cause analysis and corrective action activities. The role provides hands-on exposure to supplier quality systems, manufacturing process controls, and structured continuous improvement methodologies.

The Supplier Quality Engineer contributes to defining quality requirements, evaluating process capability, reducing risk, and improving yield to support uninterrupted manufacturing operations. The role also includes exposure to additive manufacturing technologies, where the engineer helps integrate advanced fabrication processes into the supply base while ensuring robust quality controls are in place.

Key Responsibilities
  • Assist in establishing, tracking, and refining supplier quality performance metrics to evaluate and improve supplier outcomes.
  • Participate in the development of dashboards and reports to communicate supplier quality status to management and cross-functional teams.
  • Support supplier audits and assessments by incorporating metric-based evaluations and identifying opportunities for improvement.
  • Help conduct root cause analysis and corrective action activities using data and performance metrics.
  • Work with cross-functional teams including procurement, engineering, and manufacturing to align quality objectives.
  • Contribute to continuous improvement initiatives within the supply base using trend and data analysis.
  • Build professional relationships with suppliers to foster collaboration and share best practices.
  • Develop additive manufacturing processes using 3D printing and advanced fabrication for high-performance components, including defining quality protocols and identifying improvement opportunities.
Qualifications & Skills
  • Bachelor's degree in Engineering, Materials Science, or related field (preferred: Welding Engineering).
  • Internship or project experience in quality engineering, manufacturing, machining, or supply chain (preferred).
  • Strong analytical and problem-solving skills with interest in metric-driven quality methods.
  • Effective communication and teamwork skills.
  • Familiarity with industry standards (ISO, etc.) is a plus.
  • Ability to adapt and grow in a fast-paced, collaborative environment.
Why Applied Materials?

At Applied Materials, you will be part of a global technology leader whose innovations enable the next generation of semiconductors and displays. New college graduates are given meaningful responsibility, access to experienced mentors, and opportunities to work on real engineering and manufacturing challenges that impact customers worldwide. Applied Materials fosters a collaborative, inclusive environment where continuous learning is encouraged, technical excellence is valued, and employees are empowered to grow their careers while shaping the future of technology.

Additional Information

Time Type:

Full time

Employee Type:

New College Grad

Travel:

Yes, 20% of the Time

Relocation Eligible:

Yes

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

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