Intern

16 Minutes ago • All levels
Editorial

Job Description

This internship offers highly motivated technical interns hands-on experience with high-impact initiatives in autonomous agents, software engineering, ML, and product development. Interns will work onsite in Menlo Park for a minimum of 40 hours a week, receiving mentorship from experienced engineers and researchers. The role involves developing and maintaining scalable AI tools and infrastructure, and collaborating on agent functionality within a fast-paced, innovative environment.
Good To Have:
  • Competitive programming or research background (IOI, USACO Gold/Platinum, ACM-ICPC, ICML, ICLR, Neurips, UAI, RSS, CoRL, ACL, EMNLP, NACCL, JMLR, TMLR, or similar)
  • Open source project contributions
Must Have:
  • Pursuing or recently completed a BS/MS/PhD in Computer Science, Engineering or a related field
  • Proficiency in modern programming languages (ie Python, Go)
  • Familiarity with large language models and multimodal AI frameworks
  • Understanding of AI/ML concepts and frameworks (e.g., TensorFlow, PyTorch)
  • Strong analytical skills
  • A proactive approach to learning
  • Ability to work collaboratively
  • Startup-oriented mindset: comfortable with ambiguity and rapid iteration
  • Strong computer science fundamentals
  • Minimum 40 hours a week, onsite in Menlo Park
Perks:
  • Mentorship from experienced engineers and researchers
  • Access to internal resources for building industry-relevant skills
  • Small, elite team of ex-founders, researchers from top AI Labs, top CS grads, and engineers from top companies
  • True ownership, shipping meaningful work within weeks
  • Well-funded by top investors, serious momentum
  • Generous compensation

Add these skills to join the top 1% applicants for this job

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About the Role

We're seeking highly motivated technical interns to join us on a rolling basis!

This role provides hands-on experience with high-impact initiatives, offering the chance to build skills in autonomous agents, software engineering, ML, and product development within a fast-paced, innovative environment.

You will be exposed to high-impact projects with mentorship from experienced engineers and researchers along with access to internal resources aimed at building industry-relevant skills.

At this time we are looking for interns who can start with us immediately and be with us onsite in our Menlo Park office for a minimum of 40 hours a week.

Responsibilities

  • Assist with developing and maintaining scalable, efficient AI tools and infrastructure
  • Collaborate with engineering and research teams to support agent functionality

Qualifications

  • Pursuing or recently completed a BS/MS/PhD in Computer Science, Engineering or a related field
  • Proficiency in modern programming languages (ie Python, Go)
  • Familiarity with large language models and multimodal AI frameworks
  • Understanding of AI/ML concepts and frameworks (e.g., TensorFlow, PyTorch)
  • Strong analytical skills, a proactive approach to learning, and the ability to work collaboratively
  • Startup-oriented mindset: comfortable with ambiguity and rapid iteration
  • Strong computer science fundamentals

Bonus

  • Competitive programming or research background (IOI, USACO Gold/Platinum, ACM-ICPC, ICML, ICLR, Neurips, UAI, RSS, CoRL, ACL, EMNLP, NACCL, JMLR, TMLR, or similar)
  • Open source project contributions

What makes us interesting

  • Small, elite team of ex-founders, researchers from top AI Labs, top CS grads, and engineers from top companies
  • True ownership You will not be blocked by bureaucracy, shipping meaningful work within weeks rather than months
  • Serious momentum We're well-funded by top investors, moving fast, and focused on execution

What we do

  • Ship consumer products powered by cutting-edge AI research, and
  • Build infrastructure that facilitates research and product, and
  • Innovate cutting-edge research that will open up new consumer product forms

The Details

  • Minimum 40 hours a week, onsite in Menlo Park
  • Startup hours apply
  • Generous compensation

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