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Machine Learning Engineer Intern Summer Jobs in Austin, TX

ExtendMyTeam

Machine Learning Engineer

Austin, TX

Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI-enabled solutions that improve software delivery workflows, automate operational processes, and ...

Avride

Machine Learning Engineer

Austin, TX

About the Role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...

Apple

Machine Learning Engineer

Austin, TX · On-site

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop ...

Avride

Machine Learning Engineer

Austin, TX · On-site

About the Role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building and scaling our AI-powered logistics solutions. You'll design, develop, and maintain the data ...

Q2

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

Apple

Machine Learning Engineer

Austin, TX · On-site

$132K - $244K/yr

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

Apple

Machine Learning Engineer

Austin, TX

$132K - $244K/yr

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

Apple

Machine Learning Engineer

Austin, TX

$132K - $244K/yr

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

PayPal

Machine Learning Engineer

Austin, TX

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

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All JobsMachine Learning Engineer Intern Summer JobsMachine Learning Engineer Intern Summer Jobs in Austin, TX

Machine Learning Engineer Intern Summer information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

How much do machine learning engineer intern summer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for machine learning engineer intern summer 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 types of projects and day-to-day tasks can I expect as a Machine Learning Engineer Intern during the summer?

As a Machine Learning Engineer Intern in the summer, you'll typically work on real-world data projects that contribute to the company's products or services. Your daily tasks may include cleaning and preprocessing data, building and testing machine learning models, and collaborating with data scientists, engineers, and sometimes product managers. You'll also likely participate in team meetings, code reviews, and may present your findings to technical and non-technical audiences. This hands-on experience is designed to help you develop practical skills and gain exposure to the collaborative workflow of a professional tech team.

What does a Machine Learning Engineer Intern do during the summer?

A Machine Learning Engineer Intern in the summer typically works on projects that involve building, testing, and improving machine learning models under the supervision of experienced engineers. Responsibilities often include data preprocessing, feature engineering, model development, and performance evaluation. Interns may also collaborate with cross-functional teams to deploy models into production or support ongoing research. The role provides valuable hands-on experience and exposure to real-world applications of machine learning.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Intern, and why are they important?

To thrive as a Machine Learning Engineer Intern, you generally need a solid background in computer science, mathematics, and programming, often supported by coursework or a degree in a related field. Familiarity with tools and frameworks like Python, TensorFlow, PyTorch, and version control systems such as Git is typically required. Strong problem-solving abilities, eagerness to learn, and effective teamwork and communication skills help interns stand out. These skills and qualities are vital for quickly adapting to real-world projects, collaborating with teams, and successfully applying machine learning concepts to practical challenges.

Software Engineer - Intern Summer 2026

Elevate Robotics

Austin, TX

Other

Posted 13 days ago

Job description

Software Engineer - Intern Summer 2026
About Elevate Robotics
Elevate Robotics, Inc., is a subsidiary of Apptronik. Elevate was formed to democratize superhuman mobile manipulation to improve worker safety and to help solve the ever-increasing labor shortage problem. Our team has a heritage of building some of the most advanced robots on the planet for years, dating back to the DARPA Robotics Challenge and before. We apply our expertise across the full robotics stack to some of the most important and impactful problems our society faces and expect our products and technology to change the world for the better. We value creativity, humility, integrity, passion, and curiosity to help us overcome existing technological barriers in the industry to create truly innovative products.
The Role
The team is seeking a Software Engineer Intern with hands-on capabilities and a strong practical background. You will be treated as a junior engineer, tasked with bringing up and testing real robots, automating deployment processes, and solving engineering challenges.
Your time will split between scripting, coding, and hardware integration, while also acting as a "force multiplier" for the senior engineering team to help us hit critical roadmap milestones.
Core Responsibilities
  • Assist in control system tuning for industrial robots.
  • Support integration of autonomy software with perception, navigation, manipulation, and control systems.
  • Write clean, well-documented C++ and Python code under guidance from senior engineers.
  • Assist with production robot bringup.
  • Participate in code reviews, design discussions, and technical planning sessions.
  • Contribute to improving software quality, reliability, and test coverage.
Qualities
  • Currently pursuing a BS, MS, or PhD in Computer Science, Robotics, Computer Engineering, or a related field.
  • Strong programming fundamentals in C++.
  • Robot tuning and modeling experience.
  • Comfort with Git.
  • Basic understanding of robotics or autonomous systems concepts.
  • Familiarity with Linux development environments.
  • Ability to learn quickly, work collaboratively, and take ownership of well-defined tasks.
  • Strong problem-solving skills and attention to detail.
  • Familiarity with AI-assisted coding (A token budget will be included).
Preferred Skills
  • Familiarity with AI-assisted coding (A token budget will be included).
  • Prior experience with robotics software, simulations, or autonomous systems.
  • Familiarity with ROS or ROS 2.
  • Exposure to depth camera integration.
  • Interest in real-world deployment challenges.

*This is a direct hire. Please, no outside Agency solicitations.

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