Research Scientist Engineer, Agentic Workflows

Apple Inc

Confirmed live yesterday High trust

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $214k
This role $255k
$152k most similar roles pay here $343k

This role pays more than 76% of similar roles. Most pay $173,875–$254,750 — the shaded band above. At the midpoint, this role pays about $255k versus about $214k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 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 focused on creating breakthrough innovations in machine learning, computer vision, robotics, and related fields. The role involves developing frontier models, including large multimodal models, and building agentic workflows to power advanced technologies. Day-to-day responsibilities include building complete prototypes that achieve state-of-the-art performance and delivering clean, well-tested code within complex, multi-language systems. Candidates must possess expertise in machine learning algorithms, deep learning systems, and proficiency with modeling frameworks such as PyTorch or TensorFlow. The position requires fluency in Python and a strong software development approach to solve problems in the domains of language models and robotics. This role specifically addresses technical challenges involving large multimodal models and the creation of sophisticated agentic workflows within the broader machine learning ecosystem.

What you'll do

  • Develop breakthrough innovations in language models, machine learning, and reinforcement learning.
  • Research and develop agentic workflows and frontier multimodal models.
  • Build complete prototypes that achieve state-of-the-art performance in specialized areas of expertise.
  • Develop complex, multi-language systems using Python and other programming languages.
  • Implement advanced ML algorithms and best practices for deep learning systems.
  • Utilize modeling frameworks like PyTorch or TensorFlow to build machine learning models.
  • 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 areas of expertise.
  • Solid software engineering skills in complex, multi-language systems.
  • Fluency in Python.
  • Expertise in ML algorithms and best 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.
  • Bachelor's, Master's, or PhD degree in Computer Science, Electrical Engineering, or equivalent experience.

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