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New Grad Machine Learning Jobs in Austin, TX (NOW HIRING)

Bespoke Labs

Machine Learning Engineer

San Marcos, TX · On-site

... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

San Marcos, TX · On-site

... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Austin, TX · On-site

... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

... new projects and craft upcoming products that will delight and encourage millions of Appleʼs ... Description To be successful, candidates will need a machine learning background, proven software ...

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

... new projects and craft upcoming products that will delight and encourage millions of Appleʼs ... Description To be successful, candidates will need a machine learning background, proven software ...

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

... new projects and craft upcoming products that will delight and encourage millions of Appleʼs ... Description To be successful, candidates will need a machine learning background, proven software ...

Avride

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124K - $171K/yr

Ability to quickly absorb new concepts from research papers, technical reports, and documentation ... Advanced degree in Computer Science, Machine Learning, Robotics, or a related field. * Experience ...

Avride

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124K - $171K/yr

... absorb new concepts from research papers, technical reports, and documentation. • Strong ... Machine Learning, Robotics, or a related field. • Experience developing ML algorithms for ...

Avride

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124K - $171K/yr

Ability to quickly absorb new concepts from research papers, technical reports, and documentation ... Advanced degree in Computer Science, Machine Learning, Robotics, or a related field. * Experience ...

Apple

Sr. Machine Learning Engineer - Finance

Austin, TX · On-site

At Apple, new ideas have a way of becoming great products, services, and customer experiences very ... As a machine learning engineer in Finance, you'll play an integral and global role in building the ...

Apple

Sr. Machine Learning Engineer - Finance

Austin, TX

$184K - $277K/yr

At Apple, new ideas have a way of becoming great products, services, and customer experiences very ... As a machine learning engineer in Finance, you'll play an integral and global role in building the ...

Apple

Sr. Machine Learning Engineer - Finance

Austin, TX

$184K - $277K/yr

At Apple, new ideas have a way of becoming great products, services, and customer experiences very ... As a machine learning engineer in Finance, you'll play an integral and global role in building the ...

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX · On-site

$103K - $142K/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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Showing results 41-60

All JobsNew Grad Machine Learning JobsNew Grad Machine Learning Jobs in Austin, TX

New Grad Machine Learning information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

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

As of Aug 9, 2026, the average yearly pay for new grad machine learning in Austin, TX is $42,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

What challenges do new graduates face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What skills and qualifications are needed to thrive as a new grad machine learning?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What is a new grad machine learning?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.
What are popular job titles related to New Grad Machine Learning jobs in Austin, TX? For New Grad Machine Learning jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching New Grad Machine Learning jobs in Austin, TX look for? The top searched job categories for New Grad Machine Learning jobs in Austin, TX are:
What cities near Austin, TX are hiring for New Grad Machine Learning jobs? Cities near Austin, TX with the most New Grad Machine Learning job openings:
New Grad Machine Learning jobs near you
Infographic showing various New Grad Machine Learning job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,209 per year, or $20.3 per hour.

Machine Learning Engineer, OIS-Core Engine

Amazon

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,069 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Do you want to solve complex network management problems using machine learning to improve experiences for millions of customers. Join Amazon Infrastructure Engineering's AI/ML team to design and deploy innovative ML solutions that transform how businesses operate at scale.
We are building the AI/ML capabilities that power Amazon's infrastructure operations. Our team partners across diverse groups-from network engineers to product managers-to identify and solve the most impactful technical challenges

We're focused on leveraging machine learning to improve service performance, durability, cost, and security across our systems. When you join us, you'll work alongside engineers who are passionate about the intersection of software development and machine learning, and you'll contribute to our vision of creating more intelligent, efficient infrastructure solutions. Our customers benefit directly from the innovations we develop in unison.
As an Machine Learning Engineer, you will partner across diverse teams, projects, and environments to help solve a myriad of complex business problems

You'll bring a passion for the intersection of software development with generative AI and machine learning.
Key job responsibilities
The ideal candidate will:
- Solve complex technical problems, often ones not solved before, at every layer of the stack.
- Design, implement, test, deploy and maintain innovative ML solutions to transform service performance, durability, cost, and security.
- Build high-impact ML solutions to deliver to our large customer base.
- Build high-quality, highly available, always-on products.
- Research implementations that deliver the best possible experiences for customers.
- Participate in design discussions, code review, and communicate with internal and external stakeholders.
- Work cross-functionally to help drive business solutions with your technical input.
- Work in a startup-like development environment, where you're always working on the most important stuff.
A day in the life
As a Machine Learning Engineer on our team, you'll focus on developing ML software solutions that address complex network management challenges. Your day might include partnering with infrastructure teams to understand technical requirements, prototyping new ML approaches to optimize network performance, and working through code reviews with colleagues across the organization

You'll move between hands-on development work, design discussions with stakeholders, and research into emerging techniques that could enhance our solutions. You'll have the opportunity to see your work deployed to our large customer base and gather feedback that shapes the next iteration of improvements.
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment

The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3.

Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you. At Amazon, we value people with unique backgrounds, experiences, and skillsets.

If you're passionate about this role and want to make an impact on a global scale, please apply.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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