AIML, Sr. Machine Learning Engineer, Siri Query Understanding and Planning

Summary

Posted: Feb 4, 2025

Weekly Hours: 40

Role Number:200586047

Siri is getting smarter with the power of Apple Intelligence! We are in search of an accomplished and driven Senior Machine Learning Engineer who has a robust understanding of Large Language Models and Generative AI. Your primary role will involve decoding and applying groundbreaking research and setting the course for the team in this thriving field. By contributing to our team, you’ll play an integral part in developing the next generation Siri assistant experience, leaving a significant footprint on the evolution of our AI platforms.

Description

As a Senior Machine Learning Engineer on our team, you’ll join a phenomenal team of hardworking engineers and researchers and will be entrusted with a range of responsibilities. Your goals will including expand Siri’s “tool use” capabilities, enabling Siri to take actions on the user’s behalf across the operating system and apps, and improving Siri’s user understanding and conversational capabilities. At a high level, you will be: – Generating datasets and training LLMs – 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, to experimentation, to training, and 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.
• 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.
• 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.
• Join us in our exciting journey as we push the frontiers of Machine Learning and Generative AI. Your expertise and contributions will be invaluable in shaping the future of our Intelligence Platform.

Preferred Qualifications

• 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.

Pay & Benefits

• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.
  
  Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
  
  Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.