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Startup Machine Learning Intern Jobs in Austin, TX

Optiver

Quantitative Intern (Summer 2027)

Austin, TX · On-site

Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a ... Available to intern during Summer 2027. * Open to full-time opportunities upon graduation. * Strong ...

Optiver

Quantitative Intern (Summer 2027)

Austin, TX · On-site

Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a ... Available to intern during Summer 2027. * Open to full-time opportunities upon graduation. * Strong ...

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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 Sep 6, 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 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 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 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 7% Internship, 86% Full Time, and 7% Part Time. Highlights an 86% In-person, 7% Hybrid, and 7% Remote job distribution, with an average salary of $42,209 per year, or $20.3 per hour.

Computer Vision & Machine Learning, Staff

Allen Control Systems

Austin, TX • On-site

Full-time

Re-posted 23 days ago

Job description

Job Summary:
Allen Control Systems (ACS) is a cutting-edge defense startup developing autonomous systems for drone neutralization. The Staff Computer Vision & Machine Learning role involves leading the development of algorithms for drone detection and classification while collaborating with engineers to integrate these systems into hardware.
Responsibilities:
• Lead the development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.
• Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.
• Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.
• Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.
• Mentor junior engineers and contribute to the overall growth of the machine learning and computer vision expertise within the company.
• Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges.
Qualifications:
Required:
• Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.
• At least a Master's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
• 9+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics.
• A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications.
• Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Experience with embedded systems and integrating computer vision algorithms into hardware.
• Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems.
• You enjoy mentoring and collaborating with other engineers to solve complex technical challenges.
Company:
Allen Control Systems develops autonomous defense technologies designed to detect, track, and counter unmanned aerial threats. Founded in 2022, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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