Research Scientist/Engineer, Agentic Workflows

Apple Inc

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Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$184,700–$324,800 / yr
Posted
89 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $211k
This role $255k
$132k $345k
below market most similar roles pay here above market

This role pays more than 78% of similar roles. Most pay $167,665–$254,750 — the blue band above. At the midpoint, this role pays about $255k versus about $211k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Research Scientist/Engineer, Agentic Workflows

Research Scientist/Engineer - Agentic Workflows will join a team of world-class researchers and engineers to create breakthrough innovations in language models, machine learning, reinforcement learning, computer vision, and robotics. The role focuses on developing frontier models, including large multimodal models, and advancing agentic workflows. Day-to-day responsibilities involve building complete prototypes that achieve state-of-the-art performance while delivering clean, well-tested code within complex, multi-language systems. Candidates must demonstrate fluency in Python and proficiency with ML modeling frameworks such as PyTorch and Tensorflow. The position requires expertise in ML algorithms and deep learning systems to solve technical problems across the Apple ecosystem. This work contributes to high-level research published in selective scientific journals and conferences, focusing on creating extraordinary new technologies.

What you'll do

  • Create breakthrough innovations in language models, machine learning, and reinforcement learning.
  • Develop frontier models including large multimodal models and agentic workflows.
  • Build complete prototypes that achieve state-of-the-art performance in specific areas of expertise.
  • Develop and maintain complex, multi-language systems using Python.
  • Implement ML algorithms and best practices for working with deep learning systems.
  • Utilize ML modeling frameworks such as PyTorch and TensorFlow.
  • Deliver clean, well-tested code following a strong software development approach.

What we're looking for

  • Significant experience building complete prototypes that achieve state-of-the-art performance in your areas of expertise.
  • Solid software engineering skills in complex, multi-language systems.
  • Fluency in Python.
  • Expertise in ML algorithms and top practices for working with deep learning systems.
  • Proficiency with ML modeling frameworks such as PyTorch or Tensorflow.
  • Strong overall software development approach to deliver clean, well-tested code.
  • Bachelors, Masters, or PhD Degree in Computer Science/Electrical Engineering or equivalent academic or professional experience (preferred).

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