Logo Acceler8 Talent

On-Device AI Frameworks Engineer

Acceler8 Talentvia LinkedIn
RemotoPalo Alto, California, UsSêniorCLTHoje

Salário Estimado

R$ 14.167,00 - R$ 18.750,00

0de 100

Regular

Score da Vaga

Descrição da Vaga

We are looking for a Staff Engineer to join our growing On-device AI Frameworks team! 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.


We are a customer-obsessed team and we work very closely with them, sometimes in forward-deployed capacity.


Responsibilities • Productionize research prototypes: The Applied Research team will come to you with a Python prototype that provides the blueprints for a new feature (example) for one of our AI Frameworks.


You will collaborate with them in turning this standalone prototype into a production-ready implementation in a test-driven development fashion.


This collaboration may include experimentation and benchmarking that leads to top-tier AI research conference submissions (example). • Contribute to SDK and Frameworks design: As the number of supported models and workloads grow, you will see around corners and recommend scalable design patterns to absorb the code growth while minimizing technical debt.

Support Enterprise customers: You will directly work with the engineering teams of Enterprise customers during their onboarding journey.

This could range from a Q&A session to customizing an in-house feature to fit a particular customer requirement.


Qualifications • 3+ years of hands-on experience in SDK or Frameworks development for iOS or macOS

Fluency in Swift • Fluency in profiling and optimizing native applications
Familiarity with at least one of Core ML, MLX Swift, LiteRT, ONNX, WebGPU or ExecuTorch Preferred Qualifications • 5+ years of hands-on experience in SDK or Frameworks development for iOS or Android
Track record of significant open-source contributions • Fluency in Swift, Kotlin and Python
Direct experience with Core ML, MLX Swift and LiteRT

Requisitos

  • 3+ years of hands-on experience in SDK or Frameworks development for iOS or macOS
  • Fluency in Swift
  • Fluency in profiling and optimizing native applications
  • Familiarity with at least one of Core ML, MLX Swift, LiteRT, ONNX, WebGPU or ExecuTorch

Responsabilidades

  • 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
  • Productionize research prototypes: The Applied Research team will come to you with a Python prototype that provides the blueprints for a new feature (example) for one of our AI Frameworks
  • You will collaborate with them in turning this standalone prototype into a production-ready implementation in a test-driven development fashion
  • This collaboration may include experimentation and benchmarking that leads to top-tier AI research conference submissions (example)
  • Contribute to SDK and Frameworks design: As the number of supported models and workloads grow, you will see around corners and recommend scalable design patterns to absorb the code growth while minimizing technical debt
  • Support Enterprise customers: You will directly work with the engineering teams of Enterprise customers during their onboarding journey
  • This could range from a Q&A session to customizing an in-house feature to fit a particular customer requirement

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Informações

NívelSênior
ContratoCLT
LocalPalo Alto, California, Us
RemotoSim
MoedaBRL
PublicadaHoje
FonteLinkedIn

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