Veeam

AI/ML Intern (Summer 2027)

San Jose
  • Summer 2027
  • On-site
  • Internship

Listing details

  • Closes Dec 24
  • Posted Sep 25
  • Last verified Oct 29

About the job

  • As a Summer Intern, you’ll participate in a comprehensive onboarding experience led by our University Relations team to set you up for success from day one. Throughout the program, you’ll also have the opportunity to participate in weekly professional development sessions, networking events, social activities, and other engaging experienced designed to support your personal and professional growth
  • The program takes place from June – August 2027 (10-week program)
  • Model Training & Evaluation: Train and improve ML models across a variety of datasets and tasks
  • Training Diagnostics: Analyze loss curves, gradients, metrics, and experiments to diagnose model failures and improve performance
  • LLM & Generative AI Research: Work on transformer models, fine-tuning workflows, evaluation systems, and generative AI applications
  • Rapid Experimentation: Prototype and iterate quickly using Claude-assisted development workflows
  • Research Tooling: Build reusable experimentation, training, and evaluation workflows for ML research

Benefits

  • Unlimited paid time off, plus 3 global VeeaMe Days for self-care
  • Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
  • Medical, dental, and vision coverage from day one
  • 401(k) retirement plan with matching contributions up to annual limits
  • Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
  • Mental health support, therapy sessions, and digital wellness tools via SupportLinc EAP
  • Legal services, identity protection, and supplemental health insurance options
  • AirVet: 24/7 virtual veterinary care at no cost
  • Tax-advantaged spending accounts for healthcare, dependent care, and commuting
  • Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (LinkedIn Learning, Athena, O’Reilly) and mentoring through our MentorLab program

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