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Machine Learning Engineer New Grad Jobs in Austin, TX

PayPal

Staff Machine Learning Engineer

Austin, TX · On-site

Machine Learning Engineer This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with data ...

Apple

Senior Machine Learning Engineer

Austin, TX · On-site

$181.10K - $318.40K/yr

... Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by ... new projects and craft upcoming products that will delight and encourage millions of Appleʼs ...

Apple

Senior Machine Learning Engineer

Austin, TX · On-site

$181.10K - $318.40K/yr

... Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by ... new projects and craft upcoming products that will delight and encourage millions of Appleʼs ...

Avride

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124.40K - $171.40K/yr

Senior / Staff Machine Learning Engineer Austin, TX About the Team Avride develops autonomous ... Ability to quickly absorb new concepts from research papers, technical reports, and documentation.

Apple

Senior Machine Learning Engineer

Austin, TX · On-site

$181.10K - $318.40K/yr

... Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by ... new projects and craft upcoming products that will delight and encourage millions of Appleʼs ...

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...

Striveworks

Senior Machine Learning Engineer

Austin, TX · On-site +1

$121.40K - $160.10K/yr

The Role As a Senior Machine Learning Engineer at Striveworks, you'll be challenged-and trusted-on day one to be a core contributor to both the customer-driven projects and the enduring products of ...

Visa

Machine Learning Engineer

Austin, TX · On-site

$152.20K/yr

Our team needs a Senior Consultant level Machine Learning Engineer with proven knowledge of web ... Flexibility and willingness to tackle new tasks as needed are significant to success. If this ...

webAI

Senior Machine Learning Engineer

Austin, TX · On-site

$103.60K - $142.20K/yr

Senior Machine Learning Engineer We are seeking a Senior Machine Learning Engineer to support our Public Sector initiatives focused on building and optimizing production ready AI systems for secure ...

webAI Inc

Staff Machine Learning Engineer

Austin, TX · On-site +1

We are seeking an experienced Staff Machine Learning Engineer with a strong background in Large Language Models (LLMs) and/or Mixture of Experts (MoEs). The ideal candidate will have a proven track ...

Bumble

Senior Machine Learning Engineer

Austin, TX · On-site

$220K - $250K/yr

As a Senior Machine Learning Engineer, you'll own impactful problems end-to-end-from data exploration through to production deployment, while collaborating closely with Product, Engineering, and Data ...

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX · On-site

$103.60K - $142.20K/yr

They are seeking a Senior Machine Learning Engineer II to contribute to the development and ... new ML capabilities for aerospace and defense applications. • Document designs, workflows, and ...

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Machine Learning Engineer New Grad information

See Austin, TX salary details

$31.2K

$127.6K

$191.8K

How much do machine learning engineer new grad jobs pay per year?

As of May 28, 2026, the average yearly pay for machine learning engineer new grad in Austin, TX is $127,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $153,600.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer New Grad job?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer New Grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a Machine Learning Engineer New Grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.
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What job categories do people searching Machine Learning Engineer New Grad jobs in Austin, TX look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Austin, TX are:
What cities near Austin, TX are hiring for Machine Learning Engineer New Grad jobs? Cities near Austin, TX with the most Machine Learning Engineer New Grad job openings:
Machine Learning Engineer New Grad jobs near you
Infographic showing various Machine Learning Engineer New Grad job openings in Austin, TX as of May 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $127,637 per year, or $61.4 per hour.
Staff Machine Learning Engineer

Staff Machine Learning Engineer

PayPal

Austin, TX • On-site

Other

Medical, PTO

This job post has expired today. Applications are no longer accepted.

PayPal rating

6.8

Company rating: 6.8 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

15th of 17 rated payment service providers

Job description

Machine Learning Engineer

This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Essential Responsibilities:

  • Lead the development and optimization of advanced machine learning models.
  • Oversee the preprocessing and analysis of large datasets.
  • Deploy and maintain ML solutions in production environments.
  • Collaborate with cross-functional teams to integrate ML models into products and services.
  • Monitor and evaluate the performance of deployed models, making necessary adjustments.

Minimum Qualifications:

  • 5+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience.
  • Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

What PayPal employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About PayPal

Sourced by ZipRecruiter

PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com. PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1998

Social media

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