AIML - Sr. Machine Learning Engineer - Large Language Models and Generative AI, Siri Information and Intelligence
Job Description
Summary
Play a part in the next revolution in human-computer interaction. Contribute to the product that is redefining mobile computing through voice interaction. You will help create groundbreaking technology for large scale systems, spoken language, big data, and artificial intelligence. And work with the people who created the always-on always learning best in class intelligent voice assistant that helps millions of people get things done — just by saying “Hey Siri”. Join the Siri team at Apple!
The Siri team is looking for a machine learning engineer to develop and advance intelligent experience on Apple’s innovative devices enabling compelling new conversational features for Siri interactions. You should be eager to do hands-on work to improve and build features to improve overall Siri capabilities. You should enjoy working in a constantly evolving environment with changing priorities, be passionate about using new technologies to solve real problems and to improve the state of intelligent assistants.
The Siri team is looking for a machine learning engineer to develop and advance intelligent experience on Apple’s innovative devices enabling compelling new conversational features for Siri interactions. You should be eager to do hands-on work to improve and build features to improve overall Siri capabilities. You should enjoy working in a constantly evolving environment with changing priorities, be passionate about using new technologies to solve real problems and to improve the state of intelligent assistants.
Description
As a Senior Machine Learning Engineer on the Relevance and Graph Inference Team, you’ll join a phenomenal team of hardworking engineers and researchers and will be entrusted with a range of responsibilities. Your tasks will include:
* Leading the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields.
* Translating the latest research into high-performing systems and models that can be practically applied to enhance user experiences.
* Setting the team\'s strategic direction, cultivating an environment that encourages innovation and professional growth.
* Actively engaging in all aspects of model development, from ideation and experimentation to deployment.
* Collaborating with various teams to develop and implement Machine Learning solutions, ensuring performance optimization and alignment with broader business goals.
* Leading the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields.
* Translating the latest research into high-performing systems and models that can be practically applied to enhance user experiences.
* Setting the team\'s strategic direction, cultivating an environment that encourages innovation and professional growth.
* Actively engaging in all aspects of model development, from ideation and experimentation to deployment.
* Collaborating with various teams to develop and implement Machine Learning solutions, ensuring performance optimization and alignment with broader business goals.
Minimum Qualifications
- In-depth experience in Machine Learning, with a particular emphasis on Large Language Models (LLMs) and Generative AI.
- Published research in the field of Machine Learning or AI is highly desirable, indicating an ability to not only understand but also contribute to cutting-edge research.
- Proven ability to comprehend, interpret, and apply cutting-edge research into tangible applications.
- Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models.
- Proven problem-solving and leadership abilities, with the capacity to steer the team\'s research and practical applications in a collaborative and fast-paced environment.
Preferred Qualifications
- An advanced degree (Master\'s or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field is required
- Ongoing professional development in Machine Learning and Artificial Intelligence domains is expected.
