This role pays more than
78%
of similar roles. Most pay
$186,025–$248,375
— the shaded band above.
At the midpoint, this role pays about
$250k
versus about
$217k
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
1723 open roles
on FindRole.
Listed pay typically runs
$162,500–$272,100
across 1398 roles with salary data.
As an Applied Research Scientist at Apple’s Agentic Systems and Generative Modeling team, you will design and implement machine learning algorithms to process data across various Apple products. Your daily tasks include training generative AI models and agentic systems using deep reinforcement learning, integrating ML/RL frameworks into products for large-scale agent training, and leveraging cloud services for scalable simulations. You will collaborate with cross-functional teams to develop innovative tools and metrics, contribute to architecture decisions, and conduct peer code reviews. The role requires strong programming skills in Python or C++, experience with machine learning concepts, and proficiency in ML toolkits like PyTorch and TensorFlow. Ideal candidates have a background in sequential decision-making, reinforcement learning, autonomous systems, and training large language models, along with expertise in probabilistic modeling and statistics to enhance your effectiveness in this high-impact position.