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Argmax

On-device AI Frameworks Engineer (Intern)

  • Seen live on Argmax's site yesterday
  • Intern / co-op
Pay
Not stated
Location
Palo Alto, CA
Open for
17+ days
First seen
Oct 18, 2026
Apply on Argmax's site (opens in a new tab)

Posting record

No flags

Open 17+ days

The posting's record, oldest first
  1. Argmax's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Argmax, so its true age is longer.

Last checked Nov 3, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What it asks of you

1+ years of experience
“1+ year of hands-on experience in SDK or Frameworks development for iOS or Android” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

We are looking for an intern to join our On-device AI Frameworks team at Argmax! In this role, you will design, implement and optimize software frameworks that expose developer-friendly APIs to run state-of-the-art inference workloads natively on Apple and Android devices. You will collaborate closely with industry leader engineer and researcher colleagues, advancing the frontiers of on-device inference technology and accelerating its market adoption.

AI Frameworks are at the core of Argmax SDK, our flagship developer toolkit trusted by Enterprises and developers in high-stakes industries such as healthcare. Argmax is a customer-obsessed team and we work very closely with them, sometimes in forward-deployed capacity.

Responsibilities

  • Contribute to SDK and Frameworks implementation: You will help implement new model support ( example ) and new features ( example ) as Argmax SDK grows. You will observe and learn from senior engineers at Argmax as they design the implementation spec that you will work on.
  • Respond to customer issues: You will be one of the first at Argmax to review customer issue reports, ask for supporting information, reproduce the issue, root-cause the issue, and finally propose viable workarounds as well as permanent fixes. Senior engineers at Argmax will support your growth as you learn to tackle this critical responsibility autonomously over time.

Qualifications

  • 3-6 months of hands-on experience in SDK or Frameworks development for iOS or Android
  • Familiarity with Swift OR (Kotlin AND C++)
  • Familiarity with profiling and optimizing mobile application

Preferred Qualifications

  • 1+ year of hands-on experience in SDK or Frameworks development for iOS or Android
  • Fluency in Swift, Kotlin and Python
  • Familiarity with at least one of Core ML, MLX Swift, LiteRT, ONNX, WebGPU or ExecuTorch

Perks

  • If internship is successful, this is an opportunity to join Argmax, a fast-growing early-stage startup with a unique mission
  • 3 days a week in the office from Palo Alto, CA or Manhattan, NY
  • Palo Alto office offers comprehensive on-site amenities, including chef-catered meals
  • Platinum-tier healthcare with 90% employer contribution, including dependents

About Argmax

AI applications are scaling in user adoption at unprecedented rates. The infrastructure is crumbling

  • Spinner wheels are back in fashion
  • The most sensitive types of user data are uploaded to the cloud and occasionally leaked
  • Spiky demand leads to infrastructure capacity crunch and underutilization at the same time

Argmax is building the critical infrastructure required to bring real-time AI workloads to the edge

  • Autoscaling instantly and infinitely
  • Private and compliant by design
  • Reliable beyond even the multi-cloud platforms

The hardest part: We are directly migrating cloud workloads to the edge, without compromising accuracy that our customers work so hard to achieve. This is a hard core technology problem and we built the mission-driven team with a long-term vision to make on-device the default way to build AI applications. Join us if this sounds like you and you have 3+ years to stake!

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