Proactive Intelligence, Applied Research Scientist � Generative AI
OtherData ScientistDataApplied Research Scientist
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Quick Summary
Overview
The Applied Research Scientist position at Apple focuses on leveraging Generative AI to enhance Apple's products and experiences across various platforms like iPhone, Mac, Apple Watch, iPad, and more.
Technical Tools
cpppythonpytorchtensorflowdeep-learningmobile-dev
The Applied Research Scientist position at Apple focuses on leveraging Generative AI to enhance Apple's products and experiences across various platforms like iPhone, Mac, Apple Watch, iPad, and more. The role involves designing and implementing ML algorithms, training Generative AI models using deep reinforcement learning, and integrating ML/RL frameworks into Apple products. Applicants should have strong programming skills in Python and/or C++, proficiency in ML toolkits like PyTorch and TensorFlow, and hands-on experience in building deep-learning systems. Additionally, a fundamental understanding of ML concepts, strong software engineering skills, and a passion for building autonomous systems with Generative AI are essential. The position emphasizes collaboration with cross-functional teams, contribution to roadmaps, and writing clean, maintainable production code. A minimum of 5 years of experience in applied ML and/or product development, along with an advanced degree in Computer Science or a related field, is required. The base pay range for this role is $161,700 to $284,900, with additional benefits, stock options, and relocation opportunities. Publications in top-tier conferences and experience in robotics, deep learning, and mobile development are advantageous.
Location & Eligibility
Where is the job
Seattle, United States
On-site at the office
About this job
- Pay per year
- $161,700–$284,900 a year
- 13% above the $196,900 median for Data Scientist jobs on Jobera (705 salaries).
- Posted
- 1126 days ago
Listing Details
- Posted
- September 18, 2023
- First seen
- May 6, 2026
- Last seen
- October 13, 2026
Posting Health
- Days active
- 163
- Repost count
- 0
- Trust Level
- 30%
- Scored at
- October 17, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
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