Natural Language Modeling Research Scientist, Siri at Apple

, California, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Jan, 26

Salary

0.0

Posted On

04 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Natural Language Processing, Natural Language Generation, Speech, Large Language Models, Transformers, Python, C, C++, ML Toolkits, Generative AI, Multimodal Models, Model Robustness, Privacy Preservation, User Personalization, Quality Assurance

Industry

Computers and Electronics Manufacturing

Description

Are you excited about Generative AI and Large Language Models? Are you interested in working on cutting edge generative modeling technologies and its application to virtual assistants to enrich billions of people!? Join the SWE Response team at Apple! We are looking for an exceptional senior research scientist experienced in design and development of training, adapting and deploying large scale ML models with a focus on natural language understanding, generation, speech and/or multimodal generation. Additionally, you’ll advance and apply the latest ML techniques to Apple’s virtual assistant and dive into the details to craft the Siri experience for millions of users worldwide. DESCRIPTION We are seeking a candidate with a proven track record in applied ML research. Responsibilities in the role will include training large scale language and multimodal models on distributed backends, deployment of compact neural architectures such as transformers efficiently on device, and learning policies that can be personalized to the user in a privacy preserving manner. Ensuring quality with an emphasis on fairness and model robustness would constitute an important part of the role. You will be interacting very closely with a variety of ML researchers, software engineers, hardware & design teams cross functionally. Your primary responsibilities will center on enriching conversation understanding capabilities through LLM and multimodal models. The user experience initiative would focus on enriching system safety experience. MINIMUM QUALIFICATIONS 5 - 7+ years experience in Machine Learning and its application to NLP, NLG or Speech Hands on experience training LLMs, adapting pre-trained LLMs for downstream tasks & human alignment Experience delivering ML capabilities into great products Proficiency in using ML toolkits, e.g., PyTorch Strong programming skills in Python, C and C++ PREFERRED QUALIFICATIONS JAX (nice to have)

Responsibilities

The role involves training large scale language and multimodal models and deploying compact neural architectures efficiently on devices. You will also focus on enriching conversation understanding capabilities and enhancing system safety experience.