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Research Assistant Machine Learning Jobs in Georgetown, TX

Rokt

Senior Machine Learning Engineer

Austin, TX · On-site +1

$335K - $400K/yr

Keep track of emerging tech and trends, research the state-of-the-art deep learning models ... grade machine learning systems, spanning model training, tuning, deployment, serving, and ...

Crowe LLP

Machine Learning Intern

Austin, TX

$27 - $42/hr

Modeling Understanding how to frame business problems as data science problems Navigating the full data science lifecycle: research and exploration, development, deployment, support Using correct ...

Crowe LLP

Machine Learning Intern

Austin, TX · On-site

$27 - $42/hr

Modeling Understanding how to frame business problems as data science problems Navigating the full data science lifecycle: research and exploration, development, deployment, support Using correct ...

Bespoke Labs

Machine Learning Engineer

Austin, TX · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Crowe LLP

Machine Learning Engineer

Austin, TX

$62K - $100K/yr

Write high-quality, production-ready code and assist in code reviews to maintain standards of excellence. * Develop and implement comprehensive testing protocols, including smoke tests and unit tests ...

webAI Inc

Staff Machine Learning Engineer

Austin, TX · On-site

Conduct cutting-edge research in machine learning, with a focus on improving the performance and efficiency of LLMs. * Stay abreast of the latest advancements in AI and ML, and apply this knowledge ...

webAI Inc

Staff Machine Learning Engineer

Austin, TX · On-site +1

Conduct cutting-edge research in machine learning, with a focus on improving the performance and efficiency of LLMs. * Stay abreast of the latest advancements in AI and ML, and apply this knowledge ...

webAI

AI Research Scientist

Austin, TX · On-site

The AI Research Scientist will design, train, evaluate, and optimize cutting-edge machine learning models, collaborating with various teams to ensure innovations have real-world impact.

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How much do research assistant machine learning jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for research assistant machine learning in Georgetown, TX is $20.36, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $23.65 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

What are the key skills and qualifications needed to thrive as a research assistant machine learning?

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What are popular job titles related to Research Assistant Machine Learning jobs in Georgetown, TX?

For Research Assistant Machine Learning jobs in Georgetown, TX, the most frequently searched job titles are:

What job categories do people searching Research Assistant Machine Learning jobs in Georgetown, TX look for?

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What cities near Georgetown, TX are hiring for Research Assistant Machine Learning jobs?

Cities near Georgetown, TX with the most Research Assistant Machine Learning job openings:

Research Assistant Machine Learning jobs near you
Infographic showing various Research Assistant Machine Learning job openings in Georgetown, TX as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,341 per year, or $20.4 per hour.

Machine Learning Engineer, OIS-Core Engine

Amazon

Austin, TX

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,098 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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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