AIML - Natural Language Modeling Research Scientist, Siri and Information Intelligence
Cupertino, California, United States
Machine Learning and AI
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 AI/ML Response team at Apple. We are looking for exceptional senior research scientist/engineer 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.
Key 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++
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.
Education & Experience
M.S. or PhD in Electrical Engineering, Computer Science or a related field i.e. mathematics, physics or computer engineering with a focus on computer vision and/or machine learning or comparable professional experience.