EngineeringHybrid

On-device AI Frameworks Engineer (Intern)

Argmax · Hybrid

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Last seen by MeritLog September 9, 2026Source: GreenhouseSource version: greenhouse-job-board-v1

MeritLog read this listing from Argmax's Greenhouse job board and last checked it on September 9, 2026.

Source: the employer's Greenhouse job board. Open the original listing for current details.

Job details

Work model: Hybrid
Salary: Not listed by source
Location: Palo Alto, CA

Hiring context

How this role compares at Argmax

Argmax has 3 live roles in MeritLog’s catalog, and 3 of them are in engineering. 0 of those listings publish a pay range, a disclosure rate of 0%.

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What the role asks for

What you'd do

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.

What they're asking for

3-6 months of hands-on experience in SDK or Frameworks development for iOS or AndroidSkill
Familiarity with Swift OR (Kotlin AND C++)Skill
Familiarity with profiling and optimizing mobile applicationSkill
1+ year of hands-on experience in SDK or Frameworks development for iOS or AndroidExperiencePreferred
Fluency in Swift, Kotlin and PythonSkillPreferred
Familiarity with at least one of Core ML, MLX Swift, LiteRT, ONNX, WebGPU or ExecuTorchSkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

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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