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Voice AI Front/Backend/Full Stack/Data Software Engineering Internship Summer 2026

Onki
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Are you a motivated student or recent graduate eager to shape the future of AI? Onki, an ambitious early-stage startup led by former big-tech senior innovators, is seeking talented computer engineering interns to join us to join us in defining the future of human/AI interaction in the real world,  contributing to the development of software and hardware that understands people in public spaces through audio, video, and on-screen interactions, enabling the dynamic delivery of highly personalized services.
 

What You’ll Gain

  • Real-World Moonshot Experience: Contribute to cutting-edge voice AI projects to transform in-person shopping into highly interactive, engaging, and productive experiences.
  • Skill Development: Work in areas like AI development, machine learning, computer vision, and system integration, push the boundaries of real-world applied AI, and gain practical expertise.
  • Mentorship from Experts: Collaborate with seasoned leaders from top tech companies and unicorn startups, gaining experience in the practice of top tech companies
  • Career Boost: Contribute to the design of our AI-first interactive platform, build an impressive portfolio, and gain a competitive edge for careers in big tech or hot startups.
  • Network & Recommendations: Top interns will earn referrals and access to a robust professional network, including leaders from Amazon, Microsoft, Google, and more.

In addition to this position, Onki is also recruiting for additional (unpaid) internship roles in Human/Machine Interaction, Computational linguistics, Cognitive/Behavioral Science, Electrical Engineering, Financial, Venture Capital and Fundraising, Marketing & Market Research, Customer Experience and User Research, User Experience, OR/Decision Science, Data Science.  Please see the details and application on our website.

 

Internship Tracks

Frontend Engineering Track

  • Build reactive, high-performance interfaces for 16–55" touchscreen displays
  • Implement real-time feedback for vision/voice systems (e.g. waveform display, camera framing)
  • Handle complex browser rendering, video/audio playback, and animation flows
     

Backend Engineering Track

  • Build APIs and services for STT/TTS, computer vision, and recommendation workflows
  • Handle real-time input from edge devices and run inference pipelines
  • Manage performance, memory, and latency for on-device and cloud services
     

Full Stack Engineering Track

  • Own features end-to-end — from database schema to UI polish
  • Combine voice, vision, and touch into coherent user interactions
  • Coordinate between cloud infrastructure and hardware-level inputs

Data Engineering & Infrastructure

  • Create robust pipelines to log voice, vision, and touch data across multiple devices
  • Design data schemas to support real-time interactions, training loops, and dashboard analytics
  • Develop tools to ingest and enrich product databases from web sources and APIs
  • Manage scalable storage for logs, audio/video, and session metadata
     

Qualifications

  • Pursuing or recently completed a degree in Computer Science or Computer/Robotics Engineering, or related fields.
  • Proficiency in Python and experience with AI frameworks (PyTorch, TensorFlow).
  • You are an expert in using AI coding agents
  • You’ve built real stuff outside of class — side projects, open-source, or production code
  • You understand the fundamentals: data structures, debugging, Git, clean code
  • You’re driven, curious, and take ownership of problems
  • You don’t wait around to be told what to do

Program Details

  • 15 hours weekly 
  • Flexible Schedule: The above can be adjusted to accommodate your school or personal schedule, with a minimum total commitment of 20 weeks.
  • Locations: NYC, Seattle, or Remote.

Our rigorous selection process ensures a high-quality experience. Past interns have included students from Columbia, CMU, MIT, UPenn, Duke, NYU, the University of Michigan, and more.

 

Application Process

For consideration, please complete our application form. We welcome applications from all junior, senior, graduate students and recent alums (including international students).  We encourage early submission as applications will be considered on a rolling basis as described below:

  • Resume/application review
  • Complete a 3 - 5 hour long homework assignment (will be emailed to candidates who passed resume screening)
  • 2 rounds of 40-50 minute interviews

 

Understanding Amazon leadership principles may help with your interviews: Amazon Leadership Principles.

For a glimpse of our interns' work and interactions, please see the video at the bottom of our career page.