Senior Staff Machine Learning Engineer, Apple Search & Knowledge Platforms

What you'll do

• Lead end-to-end research and engineering for high-quality summaries across personal content, world-knowledge questions, and Safari pages.
• Develop LLM-based generative, groundedness, and safety models, plus software frameworks for efficient on-device and server inference.
• Set product vision and strategy, deliver the user experience, and collaborate with organizational partners.

What they ask for

• 8+ years leading engineering, applied research, or ML work in NLP and state-of-the-art generative AI models.
• Proven record of delivering technology or products across the full Machine Learning life cycle.
• MS or Ph.D. in Computer Science, Machine Learning, information retrieval, data mining, or a related field.

Nice to have

• Strong background in Machine Learning, NLP, and RAG.
• Experience with LLM post-training, RLHF/RLAIF, reward models, RL optimization, hallucination reduction, and shipping reliable RL-based models.

Pay

$205,400 and $374,300 USD base salary; $216,200 and $394,000 USD base salary

Tools

Generative AI, LLM, Private Cloud Compute, Machine Learning, NLP, RAG, RLHF/RLAIF

AI focus

Develops generative summarization models, groundedness and safety models, and efficient on-device and server inference for personal content, knowledge-seeking questions, and web pages.