1

Machine Learning Intern Jobs in Round Rock, TX (NOW HIRING)

Intern Program - Engineering Pathways

Austin, TX · On-site

$16.50 - $21.50/hr

Our intern program would suit candidates with interest across engineering - from the hardware ... AI & Machine Learning - Develop or optimize AI/ML solutions and apply technologies such as LLMs and ...

Intern

Austin, TX · On-site

$15 - $18/hr

The Intern role at Riverbend Church will be to support a department of interest such as ... Learning and Proficiency: Gaining experience in specific software, tools, processes relevant to ...

Intern Program - Engineering Pathways

Austin, TX · Hybrid

$16.50 - $21.50/hr

Our intern program would suit candidates with interest across engineering -- from the hardware ... AI & Machine Learning -- Develop or optimize AI/ML solutions and apply technologies such as LLMs ...

As an intern, you will work closely with engineering, design, and data science partners to support ... machine learning to generative AI-to help make organizations more responsive, productive, and ...

As an intern, you will work closely with engineering, design, and data science partners to support ... machine learning to generative AI-to help make organizations more responsive, productive, and ...

AI/ML Intern

Austin, TX · On-site

$14.75 - $19.75/hr

ML Fundamentals - Solid understanding of machine learning concepts through coursework or personal projects * Supervised/unsupervised learning * Model evaluation and validation * Basic understanding ...

2027 Intern - Technology

Austin, TX

$14.75 - $19.50/hr

Consultants will start by learning a range of skills around data including e-discovery, digital forensics and case management. Advanced Analytics Researcher Intern Our advanced analytics researcher ...

2027 Intern - Technology

Austin, TX · On-site

$14.75 - $19.50/hr

Consultants will start by learning a range of skills around data including e-discovery, digital forensics and case management. Advanced Analytics Researcher Intern Our advanced analytics researcher ...

Showing results 41-60

Machine Learning Intern information

See Round Rock, TX salary details

$23.8K

$39.7K

$82.1K

How much do machine learning intern jobs pay per year?

As of Sep 5, 2026, the average yearly pay for machine learning intern in Round Rock, TX is $39,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 per year, depending on experience, location, and employer.

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 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 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 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 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 are the most commonly searched types of Machine Learning jobs in Round Rock, TX?

The most popular types of Machine Learning jobs in Round Rock, TX are:

What are popular job titles related to Machine Learning Intern jobs in Round Rock, TX?

For Machine Learning Intern jobs in Round Rock, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Intern jobs in Round Rock, TX look for?

The top searched job categories for Machine Learning Intern jobs in Round Rock, TX are:

What cities near Round Rock, TX are hiring for Machine Learning Intern jobs?

Cities near Round Rock, TX with the most Machine Learning Intern job openings:

Infographic showing various Machine Learning Intern job openings in Round Rock, 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 $39,711 per year, or $19.1 per hour.

Intern - AI Systems and Infrastructure Engineering

Micron

Austin, TX • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 5 days ago


Key responsibilities

  • Develop and enhance systems software, profiling tools, and experimentation frameworks for AI workloads.

  • Design, implement, and evaluate memory- and state-management techniques for AI serving environments.

  • Characterize and optimize AI workload execution across heterogeneous hardware and infrastructure.


Micron Technology rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

26th of 161 rated electronics manufacturers


Job description

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

The Advanced Systems Research and Engineering team develops innovative hardware and software technologies that enable the next generation of Artificial Intelligence infrastructure. The team collaborates closely with engineering, architecture, product, and research organizations to evaluate emerging AI workloads and drive advancements in memory, storage, interconnects, and distributed computing platforms. Through systems research, prototyping, and performance analysis, the team helps shape future technology roadmaps and industry-leading solutions.

The AI Systems Software Engineering Intern will work alongside senior engineers and researchers on advanced systems software for Large Language Models (LLMs) and Agentic AI applications. This role focuses on characterizing and improving the performance, scalability, and efficiency of AI inference and training workloads across GPU platforms and heterogeneous memory, interconnect, and storage systems. The intern will contribute to profiling, workload characterization, systems optimization, and experimental evaluation, helping drive innovations in AI infrastructure and memory technologies.

Responsibilities
  • Develop and enhance systems software, profiling tools, and experimentation frameworks for LLM training, LLM inference, and Agentic AI workloads.
  • Design, implement, and evaluate memory- and state-management techniques, including caching, tiering, compression, eviction, and lifecycle management for AI serving environments.
  • Characterize and optimize AI workload execution across GPUs, CPUs, memory subsystems, storage, and distributed infrastructure, with a focus on latency, throughput, scalability, and resource utilization.
  • Build benchmarking, simulation, and automation capabilities to evaluate data placement, migration, scheduling, and performance behavior across heterogeneous memory systems.
  • Collaborate with engineering and research teams to develop representative AI workloads, analyze experimental results, and contribute to technical publications, intellectual property, and future platform designs.
Minimum Qualifications
  • Currently pursuing a Master's or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
  • Demonstrated experience with AI systems, machine learning systems, computer systems research, or systems software development through coursework, research, or projects.
  • Understanding of Large Language Models (LLMs), including transformer execution, attention mechanisms, KV cache behavior, batching, token-level latency, throughput, and memory performance considerations.
  • Proficiency in Python and C/C++, with hands-on experience developing, debugging, and optimizing software in Linux environments.
  • Experience using GPU-based performance analysis tools and at least one modern AI framework or serving stack, such as PyTorch, vLLM, TensorRT-LLM, NVIDIA Dynamo, or related technologies.
Preferred Qualifications
  • Experience extending or optimizing LLM runtimes, serving engines, schedulers, or distributed inference frameworks.
  • Hands-on experience implementing advanced KV-cache, memory management, or state-management techniques for long-context or stateful AI applications.
  • Experience with GPU optimization technologies such as CUDA, Triton, NCCL, RDMA, or similar accelerator and communication frameworks.
  • Familiarity with heterogeneous memory architectures, including HBM, DRAM, CXL-attached memory, NVMe storage, pooled memory, or disaggregated memory systems.
  • Evidence of significant technical impact through publications, patents, open-source contributions, or substantial research and engineering projects related to Artificial Intelligence, distributed systems, memory systems, or high-performance computing.

    As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.

    Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

    To learn about your right to work click here.

    To learn more about Micron, please visit micron.com/careers

    For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)

    Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

    Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

    AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

    Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.


    What Micron Technology employees say

    Pay

    Benefits

    Hours and flexibility

    Workplace

    Get the full story on Breakroom