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Startup Machine Learning Intern Jobs in Austin, TX

Aivra Health LLC

AI/ML Engineer Intern

Austin, TX · On-site

AI/ML Engineer Intern Location: New York, NY, USA (Hybrid/On-site/Remote) Job Type: Internship ... You will work on developing, training, and deploying machine learning models while collaborating ...

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All JobsStartup Machine Learning Intern JobsStartup Machine Learning Intern Jobs in Austin, TX

Startup Machine Learning Intern information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

How much do startup machine learning intern jobs pay per year?

As of Aug 8, 2026, the average yearly pay for startup machine learning intern 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 are the typical responsibilities of a startup machine learning intern, and how do they contribute to the team's goals?

As a Startup Machine Learning Intern, you can expect to work on a mix of data preparation, model development, and experimental analysis. Interns often collaborate closely with data scientists, engineers, and product managers to prototype and test machine learning solutions that address real business problems. You'll likely take ownership of individual tasks, such as cleaning datasets, building and validating models, and reporting results to the team. This hands-on environment offers exposure to the full machine learning pipeline and provides opportunities to make meaningful contributions to the company's progress.

What does a startup machine learning intern do?

A Startup Machine Learning Intern typically assists in developing, testing, and deploying machine learning models to solve real-world business problems in a fast-paced startup environment. Their responsibilities may include data preprocessing, feature engineering, model selection, and performance evaluation. Interns often collaborate closely with data scientists and software engineers, gaining hands-on experience with tools like Python, TensorFlow, or PyTorch. The role provides an opportunity to contribute directly to innovative projects and learn about the startup culture.

What are the key skills and qualifications needed to thrive as a startup machine learning intern, and why are they important?

To thrive as a Startup Machine Learning Intern, you typically need a solid understanding of machine learning concepts, programming proficiency in Python, and coursework or experience in data science or statistics. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving skills, initiative, and the ability to communicate complex ideas clearly are essential soft skills in a dynamic startup environment. These competencies enable interns to quickly contribute to projects, adapt to evolving tasks, and support innovation within fast-paced teams.

What is the difference between Startup Machine Learning Intern vs Startup Data Scientist?

AspectStartup Machine Learning InternStartup Data Scientist
Required CredentialsTypically pursuing or recent graduate in CS, Data Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields; often with experience
Work EnvironmentEntry-level, learning-focused, collaborative team settingAdvanced projects, strategic decision-making, leadership roles
Employer & Industry UsageStartups, tech companies, research labsStartups, tech firms, larger organizations with data teams

The Startup Machine Learning Intern role is an entry-level position aimed at gaining practical experience in machine learning within startup environments. In contrast, a Startup Data Scientist typically has more experience and handles complex data analysis, model development, and strategic insights. The internship is ideal for students or recent grads, while data scientists are more senior roles focused on driving data-driven decisions.

What are the most commonly searched types of Startup Machine Learning jobs in Austin, TX? The most popular types of Startup Machine Learning jobs in Austin, TX are:
What are popular job titles related to Startup Machine Learning Intern jobs in Austin, TX? For Startup Machine Learning Intern jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Startup Machine Learning Intern jobs in Austin, TX look for? The top searched job categories for Startup Machine Learning Intern jobs in Austin, TX are:
What cities near Austin, TX are hiring for Startup Machine Learning Intern jobs? Cities near Austin, TX with the most Startup Machine Learning Intern job openings:
Startup Machine Learning Intern jobs near you
Infographic showing various Startup Machine Learning Intern job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% 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 12 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,066 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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