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Information Technology 🏢 Internship ⭐️ Verified

Summer Tech Intern - AI/ML Innovation Lab

Nexus Dynamics
San Francisco
Estimated Salary
USD 22 – USD 28
New
Live Update
30 Agustus 2026
Deadline
30 Agu 2027

Job Description

Join Nexus Dynamics' cutting-edge AI/ML Innovation Lab this summer! We're urgently hiring passionate interns to collaborate on real-world projects in machine learning, data science, and cloud infrastructure. This paid internship offers mentorship from industry experts, flexible start dates (May-September), and potential conversion to full-time roles. Work in our vibrant downtown San Francisco office with competitive compensation and networking opportunities. Perfect for current undergraduates or recent graduates seeking hands-on experience in AI development.

Responsibilities

  • Assist in developing and testing machine learning models using Python, TensorFlow, and PyTorch
  • Analyze large datasets to extract actionable insights for product development
  • Collaborate with cross-functional teams on AI-driven feature implementations
  • Participate in agile development cycles and sprint planning sessions
  • Document research findings and create technical documentation
  • Present project outcomes to stakeholders and senior engineers
  • Stay current with emerging AI/ML research and industry trends

Qualifications

  • Currently pursuing or recently completed Bachelor's degree in Computer Science, Data Science, or related field
  • Proficiency in Python and at least one ML framework (TensorFlow/PyTorch)
  • Strong understanding of data structures, algorithms, and statistical analysis
  • Experience with cloud platforms (AWS/Azure/GCP) and containerization (Docker/Kubernetes)
  • Excellent problem-solving skills and attention to detail
  • Ability to work collaboratively in fast-paced environments
  • Strong written and verbal communication skills
  • Portfolio demonstrating relevant projects (GitHub, Kaggle, or academic work)

Required Skills

Python Machine Learning TensorFlow Data Analysis Cloud Computing Docker Agile Statistical Analysis

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