AIML - Machine Learning Research

Apple

Seattle, WA

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JOB DETAILS

SKILLS

Algorithms, Apple, Apple Siri, Artificial Intelligence (AI), Best Practices, Communication Skills, Computer Science, Cross-Functional, Data Collection, Data Modeling, Data Science, Deep Learning, Machine Learning, Modeling Languages, Natural Language Processing (NLP), Publications, Reinforcement Learning, Research & Development (R&D), Research Skills, Safari Browser, Scientific Research, Search Technology, Simulation, Structured Data, Unstructured Data, User Interface/Experience (UI/UX)

LOCATION

Seattle, WA

POSTED

30+ days ago

**Role Number:** 200632967-3337 **Summary** Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us strengthening each other's ideas. That happens because every one of us believes that we can make something wonderful and share it with the world, changing lives for the better! In this organization, we work hard to bring the best user experiences powered by Apple Intelligence. Our team is instrumental in powering and enhancing features across a range of Apple products, including Siri, Spotlight, Safari, Messages, and more. We are an Applied ML team pushing the limits of question answering, assistant response ranking, summarization, and search technologies, while also responsible for a production service. As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge graph data and unstructured web data) and Summarization as well as developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning and large language models (LLMs) to understand user queries, retrieve and rank relevant documents across multiple sources and synthesize information across documents to provide user with a direct answer that best satisfies their intent and information seeking needs. Additionally, you will research and develop the state-of-the-art LLMs for summarizing personal data such as emails, messages, and notifications. You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple's AI powered products and conduct applied research to transfer the cutting edge research in generative AI to production ready technologies. **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. **Minimum Qualifications** + 1+ 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. + Experienced researcher in areas of machine learning, including natural language or speech + 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 **Preferred Qualifications** + Deep expertise in reinforcement learning-based post-training on LLM models, reward modeling, RLHF, RLAIF, Chain-of-thought, and agentic AI R&D. + Experienced researcher with publications in areas of machine learning, including natural language processing + 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

About the Company

Apple

We bring amazing people together to make amazing things happen.

We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.

About Apple

There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

FOUNDED

1976

WEBSITE

https://www.apple.com/jobs

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