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

Artificial Intelligence & Machine Learning (AI & ML) Intern Position Title: AI & ML Intern Reporting to: Director, AI Strategy & Architecture Position Summary The AI & ML Intern at Juno Labs will ...

Artificial Intelligence & Machine Learning (AI & ML) Intern Position Title: AI & ML Intern Reporting to: Director, AI Strategy & Architecture Position Summary The AI & ML Intern at Juno Labs will ...

Artificial Intelligence & Machine Learning (AI & ML) Intern Position Title: AI & ML Intern Reporting to: Director, AI Strategy & Architecture Position Summary The AI & ML Intern at Juno Labs will ...

Machine Learning - Decision Trees, Random Forests, Rule Mining, Clustering, PCA, Support Vector Machine, Ensemble techniques * Deep Learning - Neural networks, multilayer perceptron, word embeddings ...

Machine Learning Role: Developer We can consider associates with Python and R experience. Experience range will be 3-5 years. • Hands-on experience with various machine learning algorithms like ...

Position Title: Data Science Intern Position Overview: We are seeking talented and driven ... Support the development, testing, and validation of machine learning and AI models. Collaborate ...

Junior Engineering Intern

Addison, TX · On-site

$16.25 - $21/hr

... machine learning, and search technologies, with a focus on applying these concepts in cloud ... The intern program is typically three months; however, this timeframe may vary depending on the ...

Intern, Corporate Development & Strategy DEPARTMENT: Finance REPORTS TO: Senior Vice President ... Leverage data analytics, machine learning, and AI tools to support models evaluating venue ...

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Prior experience must include applied AI / Machine Learning , with hands-on exposure to Generative ...

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Machine Learning Intern information

See Irving, TX salary details

$24.5K

$40.9K

$84.5K

How much do machine learning intern jobs pay per year?

As of May 28, 2026, the average yearly pay for machine learning intern in Irving, TX is $40,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,200.00 and $44,200.00 per year, depending on experience, location, and employer.

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 Irving, TX? The most popular types of Machine Learning jobs in Irving, TX are:
What are popular job titles related to Machine Learning Intern jobs in Irving, TX? For Machine Learning Intern jobs in Irving, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Irving, TX look for? The top searched job categories for Machine Learning Intern jobs in Irving, TX are:
What cities near Irving, TX are hiring for Machine Learning Intern jobs? Cities near Irving, TX with the most Machine Learning Intern job openings:
AI & ML Intern

Part-time

Posted 2 days ago


Job description

Artificial Intelligence & Machine Learning (AI & ML) Intern

Position Title: AI & ML Intern
Reporting to: Director, AI Strategy & Architecture
Position Summary

The AI & ML Intern at Juno Labs will support the design, development, and testing of artificial intelligence and machine learning models to solve real-world business challenges. This role provides hands-on exposure to data preparation, model experimentation, and performance evaluation, while collaborating with experienced data scientists and engineers. The internship is designed to provide practical learning opportunities, contribute to active projects, and help advance Juno Labs' innovation in applied AI solutions.

Key Responsibilities

  • Assist in collecting, cleaning, and preparing datasets for machine learning experiments.
  • Support the development, training, and evaluation of AI & ML models under supervision.
  • Conduct exploratory data analysis (EDA) to identify patterns, trends, and insights.
  • Research and test new algorithms, libraries, and tools relevant to project needs.
  • Document processes, results, and findings to support team knowledge sharing.
  • Collaborate with engineers to integrate models into prototype or production environments.
  • Participate in code reviews, team discussions, and project planning sessions.
  • Assist in preparing presentations or reports on AI & ML project outcomes.
  • Stay current with academic research and industry trends in AI & ML.
  • Contribute to a culture of innovation, learning, and continuous improvement at Juno Labs.
  • Other duties as assigned


Qualifications

  • Current enrollment in a Bachelor's or Master's program in Computer Science, Data Science, Engineering, Mathematics, or a related field

  • Foundational knowledge of machine learning concepts and techniques

  • Experience with programming languages such as Python and libraries such as TensorFlow, PyTorch, or scikit-learn

  • Experience with LangChain, Crew AI, Amazon Bedrock, Google Vertex AI or Azure OpenAI Cognitive Services preferred, but not required

  • Familiarity with data analysis tools (Pandas, NumPy, SQL, or similar)

  • Strong problem-solving skills and ability to work with ambiguity

  • Effective written and verbal communication skills

  • Demonstrated curiosity and eagerness to learn from feedback

  • Ability to work independently and collaboratively in a team environment

  • Alignment with RTS Core Values