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Internship Tesla Computer Science Jobs in Allen, TX

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

Ideal Candidate The ideal candidate has a strong academic background in AI/ML, Computer Science, Data Science, or IT and can demonstrate hands-on experience through internships, academic projects ...

Danaher

Software Engineer Internships

Mckinney, TX · On-site

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

Danaher

Software Engineer Internships

Dallas, TX · On-site

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

IBM

Data Engineer Intern 2027

Dallas, TX · On-site

Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering ... through previous internships, personal/academic projects, hackathons, and/or publications.

New

IBM

Data Engineer Intern 2027

Dallas, TX · On-site

Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering ... through previous internships, personal/academic projects, hackathons, and/or publications.

New

IBM

Data Engineer Intern 2027

Dallas, TX

Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering ... through previous internships, personal/academic projects, hackathons, and/or publications.

New

KPMG US

Data Scientist- Associate

Dallas, TX · On-site

$58K - $58K/yr

... internship/academic projects in data science, machine learning, or software engineering • Minimum ... in Computer Science, Data Science, Statistics, or a related quantitative discipline is preferred ...

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All JobsTesla Computer Science JobsInternship Tesla Computer Science JobsInternship Tesla Computer Science Jobs in Allen, TX

Internship Tesla Computer Science information

What is the difference between Internship Tesla Computer Science vs Software Engineering Intern?

AspectInternship Tesla Computer ScienceSoftware Engineering Intern
Required CredentialsEnrolled in Computer Science or related degree, coding skillsEnrolled in Software Engineering, Computer Science, or related degree, coding skills
Work EnvironmentResearch labs, development teams, collaborative projects at TeslaDevelopment teams, coding, testing, and debugging software at Tesla
Employer & Industry UsageTesla's tech and automotive industryTesla's software development teams within automotive and tech sectors
Search & Comparison IntentYes, often compared for tech internships at TeslaYes, similar search for software-focused internships at Tesla

Internship Tesla Computer Science focuses on foundational computer science principles and research, while Software Engineering Internships emphasize practical software development, coding, and debugging. Both roles are valuable for gaining experience at Tesla, but they differ in focus and daily tasks.

What job categories do people searching Internship Tesla Computer Science jobs in Allen, TX look for?

The top searched job categories for Internship Tesla Computer Science jobs in Allen, TX are:

What cities near Allen, TX are hiring for Internship Tesla Computer Science jobs?

Cities near Allen, TX with the most Internship Tesla Computer Science job openings:

Internship Tesla Computer Science jobs near you
Infographic showing various Internship Tesla Computer Science job openings in Allen, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution.

AI/ML Engineer

Aivra Health LLC

Dallas, TX • On-site

Other

Posted 7 days ago

Job description

AI/ML Engineer

Location: Dallas, TX, United States
Job Type: Full-Time
Experience: 0–3 years
Work Authorization: OPT, H-1B, , or other valid US work authorization

Job Summary

We are seeking a motivated AI/ML Engineer to design, develop, train, and deploy machine learning and artificial intelligence solutions. The ideal candidate should have strong programming skills in Python and hands-on experience with machine learning, deep learning, data processing, and modern AI technologies.

Responsibilities
  • Develop and implement machine learning and deep learning models.
  • Perform data preprocessing, feature engineering, model training, and evaluation.
  • Build AI/ML solutions using Python and popular ML frameworks.
  • Work with structured and unstructured datasets.
  • Develop and optimize ML pipelines for model training and deployment.
  • Implement predictive models and recommendation/classification systems.
  • Work with Generative AI, LLMs, prompt engineering, or RAG-based applications.
  • Deploy and monitor ML models in cloud or production environments.
  • Collaborate with software engineers and data teams to integrate AI/ML models into applications.
  • Write clean, maintainable, and well-tested Python code.
  • Analyze model performance and improve accuracy, scalability, and efficiency.
Required Skills
  • Python
  • Machine Learning
  • Deep Learning
  • TensorFlow / PyTorch
  • Scikit-learn
  • NumPy
  • Pandas
  • SQL
  • Data Structures & Algorithms
  • Data Preprocessing & Feature Engineering
  • Model Training & Evaluation
  • REST APIs
  • Git
Preferred Skills
  • Generative AI / LLMs
  • Prompt Engineering
  • RAG
  • LangChain / LangGraph
  • NLP or Computer Vision
  • AWS / Azure / Google Cloud Platform
  • Docker
  • Kubernetes
  • MLflow
  • CI/CD
  • MLOps
  • PySpark
Education
  • Master''s degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, or a related technical field.
  • Master''s degree preferred.
Ideal Candidate

The ideal candidate has a strong academic background in AI/ML, Computer Science, Data Science, or IT and can demonstrate hands-on experience through internships, academic projects, research, GitHub repositories, or professional experience.

entry level candidates are welcome, provided they have practical AI/ML projects and strong technical fundamentals.

Apply