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Machine Learning Intern Jobs in Georgetown, TX (NOW HIRING)

Quantitative Developer Intern

Austin, TX · On-site

$19 - $25/hr

As an intern, you'll work on high-impact problems critical to Base's success and deliver solutions ... Proficiency in statistics, machine learning, and data-driven decision-making. * Strong software ...

Intern - Austin

Austin, TX · On-site

$14.75 - $19.75/hr

Where applicable, your assignment will support learning that applies to earning educational credits. Essential Duties & Key Responsibilities:Depending on business need and location, the Intern/Co-Op ...

Intern

Pflugerville, TX · On-site

$14 - $18.75/hr

A rotating schedule and learning objectives are clearly defined before you begin, allowing the Branch Manager, Intern Mentor and you to develop a program that best suits your interests and the needs ...

Intern - Austin

Austin, TX · On-site

$14.75 - $19.75/hr

Where applicable, your assignment will support learning that applies to earning educational credits. Essential Duties & Key Responsibilities:Depending on business need and location, the Intern/Co-Op ...

Intern - Austin

Austin, TX · On-site

$14.75 - $19.75/hr

Where applicable, your assignment will support learning that applies to earning educational credits. Essential Duties & Key Responsibilities:Depending on business need and location, the Intern/Co-Op ...

Intern

Round Rock, TX · On-site +1

$14 - $18.75/hr

RRC is seeking a talented Intern to help us build the future of U.S. energy production. RRC is a ... Perform job responsibilities while demonstrating continuous learning and development MINIMUM ...

Intern

Round Rock, TX

$14 - $18.75/hr

RRC is seeking a talented Intern to help us build the future of U.S. energy production. RRC is a ... Perform job responsibilities while demonstrating continuous learning and development MINIMUM ...

Intern

Round Rock, TX · On-site

$14 - $18.75/hr

RRC is seeking a talented Intern to help us build the future of U.S. energy production. RRC is a ... Perform job responsibilities while demonstrating continuous learning and development MINIMUM ...

Campus Intern

Austin, TX · On-site

$18/hr

Campus Intern Location: UNIVERSITY OF TEXAS AT AUSTIN - 84726003 Workdays/shifts: Varying shifts ... This role offers hands-on learning experiences in event preparation, service execution, inventory ...

Campus Intern Location: UNIVERSITY OF TEXAS AT AUSTIN - 84726003 Workdays/shifts : Varying shifts ... This role offers hands-on learning experiences in event preparation, service execution, inventory ...

Campus Intern Location: UNIVERSITY OF TEXAS AT AUSTIN - 84726003 Workdays/shifts : Varying shifts ... This role offers hands-on learning experiences in event preparation, service execution, inventory ...

Intern

Austin, TX · On-site

$14.75 - $19.75/hr

The Intern experience combines hands-on training with the opportunity to interact with multiple departments in order to develop stronger leadership, organization, communication and time management ...

Intern

Austin, TX · On-site

$14.75 - $19.75/hr

The Intern experience combines hands-on training with the opportunity to interact with multiple departments in order to develop stronger leadership, organization, communication and time management ...

Robotics Intern, Deployment

Austin, TX · On-site

$14.75 - $19.75/hr

Robotics Intern, Deployment Intro Contoro Robotics is an Austin, Texas-based startup building AI-powered industrial robots to transform warehouse operations. Our mission is to deliver reliable robots ...

Intern

Austin, TX

$14.75 - $19.75/hr

We are in need of a social media intern ASAP (Fall 2017 semester) Qualifications Successful Alhambra intern candidates are typically: * Articulate, able to express themselves and with a pleasing ...

Intern

Austin, TX · On-site

$14.75 - $19.75/hr

We are in need of a social media intern ASAP (Fall 2017 semester) Qualifications Successful Alhambra intern candidates are typically: * Articulate, able to express themselves and with a pleasing ...

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Machine Learning Intern information

See Georgetown, TX salary details

$23.7K

$39.6K

$81.8K

How much do machine learning intern jobs pay per year?

As of Jul 11, 2026, the average yearly pay for machine learning intern in Georgetown, TX is $39,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,200.00 and $42,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a Machine Learning Intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What Does a Machine Learning Intern Do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the most commonly searched types of Machine Learning jobs in Georgetown, TX? The most popular types of Machine Learning jobs in Georgetown, TX are:
What job categories do people searching Machine Learning Intern jobs in Georgetown, TX look for? The top searched job categories for Machine Learning Intern jobs in Georgetown, TX are:
What cities near Georgetown, TX are hiring for Machine Learning Intern jobs? Cities near Georgetown, TX with the most Machine Learning Intern job openings:

Quantitative Developer Intern

Base Power Company

Austin, TX • On-site

$19 - $25/hr

Full-time, Internship

Re-posted 17 days ago


Job description

About Base
Base is America's next-generation power company. We're rebuilding the foundation of modern civilization-electricity-by deploying a vast network of distributed batteries that is transforming today's fragile, centralized grid into a resilient and abundant system. We are engineers, operators, and creatives solving some of the most complex, interdisciplinary challenges of our time.
About the Role
We're looking for a highly motivated, intellectually curious, mission-driven software engineer to join our Markets team. As an intern, you'll work on high-impact problems critical to Base's success and deliver solutions alongside full-time team members.
What You'll Do
Algorithms & Optimization:
At Base, we operate distributed energy resources that trade in real-time electricity and ancillary service markets. You'll help design and implement sequential decision algorithms that determine when and how to trade. Responsibilities will include:
  • Designing algorithms for trading a fleet of energy storage resources in ERCOT.
  • Validating physics- and economics-based models in a simulation environment.
  • Implementing and deploying new algorithms to our production trading stack.

Risk & Trading:
Base also enters into financial contracts to hedge against volatility in electricity markets. You'll help identify, evaluate, and automate new hedging strategies. Responsibilities will include:
  • Quantifying long-term financial risk under different operating strategies.
  • Identifying and assessing new products and contract structures.
  • Developing software to automate valuation and execution of trades.

What You'll Bring
  • First-principles thinker with a strong problem-solving mindset.
  • Expertise in optimization techniques and sequential decision-making algorithms.
  • Proficiency in statistics, machine learning, and data-driven decision-making.
  • Strong software engineering skills, including test-driven development and CI/CD workflows.
  • Proficiency in Python and SQL; ability to write clean, maintainable, and scalable code.

Preferred Skills
  • Knowledge of energy markets, energy systems, or wholesale power trading.
  • Experience in commodities, equities, or derivatives trading.

About the Team
The Markets team at Base is tasked with ensuring the grid-support performance and profitability of Base's distributed battery fleet. This encompasses device communications with balancing authorities, telemetry analysis, algorithms for fleet aggregation and economic dispatch, through to financial portfolio management in wholesale energy markets. Our team is made up of physicists, economists, computer scientists, and engineers; the best candidates will bring the day-over-day intensity of an operator with the foresight to drive the long term development of simpler, more performant automated control. Success looks like building the airplane as it falls out of the sky.
Please note: Base is a startup, which means priorities shift and evolve quickly. Your role may expand or change based on the needs of the business at any given time, so the responsibilities listed may not be exhaustive.
Our Values
  • First Principles Thinking: Question assumptions. Principles > rules.
  • Operate at Base Pace: Focus on what matters, act quickly, and learn by doing.
  • Give & Get Feedback: Be direct, be humble, and maintain a growth mindset.
  • Everyone's an Owner: Follow through on commitments and own results.
  • Strong Opinions, Loosely Held: Drive clarity and make calls with imperfect information.
  • Committed to the Mission: Rebuilding the grid is a big challenge. We work hard because we care deeply about the impact we're creating. We work in-person. It's not a 9-to-5. We are all-in.
  • Fun & Optimism Coexist with Grit: Collaboration and celebration coincide with the intensity of building real things.
Do the best work of your life at Base.