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AIML – Staff Machine Learning Engineer, Answers Knowledge and Information – Apple

[AI, Machine Learning]

Santa Clara, California, United States

Full Time

AIML – Staff Machine Learning Engineer Answers, Knowledge & Information (AKI) – Apple

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AIML – Staff Machine Learning Engineer, Answers Knowledge and Information – Apple

in [AI, Machine Learning]

Full Time

Santa Clara, California, United States

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Job Overview

Date Posted

July 22, 2025
Location

Santa Clara, California, United States
Expiration date

--

Job Description

In this role, you will work on LLM based question answering and Apple Intelligence features to provide concise, accurate, and grounded information to users to help them complete their tasks quickly on Apple devices. Your core responsibilities will include:* Designing and developing advanced Reinforcement Learning technologies in the post-training of generative model, and delivering the end-user experience.* Driving cross-functional technical initiatives, collaborating with research, engineering and production teams to translate theoretical advances into deployable systems.* Developing novel and cutting-edge RL algorithms and improving existing ones.* Staying up to date with the latest RL research and integrate best practices into the team’s workflow.* Working on the end-to-end ML lifecycle: algorithm design and implementation, data collection, model training, evaluation, and deployment.

10+ years of ML experiences in search, natural language processing/understanding. Conversational AI.
Proven experience for LLM post training, including but not limited to SFT, RLHF, RLAIF, Reward Modeling, Chain-of-thought, agentic LLM.
Hands-on experience building RL pipelines and training agents in simulation or real-world environments.
Growth mindset and ability to learn new technologies
MS or Ph.D. in Computer Science, Machine Learning with a specialty in reinforcement learning, or a related field

Deep expertise in reinforcement learning-based post-training on LLM models, reward modeling, RLHF, RLAIF, Chain-of-thought, and agentic AI R&D.
Deep understanding of cutting edge RL algorithms and large language model.
Deep understanding in LLM pre-training, post-training.
Strong product intuition and ownership
Excellent communication skills

AIML – Staff Machine Learning Engineer, Answers Knowledge and Information – Apple

AIML – Staff Machine Learning Engineer Answers, Knowledge & Information (AKI) – Apple

Machine Learning Engineer, Personalization – Spotify

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Program Manager, Business Process Improvement, JP ICQA – Amazon

Cal-AIM (ECM) Program Manager – San Diego Center For Children

MBA Senior Program Manager, Amazon University Talent Acquisition – Amazon

Program Manager, Special Projects – Hadrian Automation

Senior Data Scientist (f/m/d) – Zeal Network

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Physician Assistant/Nurse Practitioner – Lowry – Mountain View Pain Specialists

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AIML – Staff Machine Learning Engineer, Answers Knowledge and Information – Apple

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