Senior ML Engineer - Generative AI, Siri Agent Modeling

San Francisco Bay Area, California, United States Machine Learning and AI

The Siri team is looking for passionate Machine Learning Engineers to join us in developing and shipping state-of-the-art generative AI technology to advance Siri and Apple Intelligence for Apple’s customers. Siri is being elevated by the huge opportunities that AI brings.The team is responsible for training on-device & cloud models, evaluating various approaches, pushing the envelope with the latest generative AI research developments, and ultimately delivering product critical models that power Siri and Apple Intelligence experiences. These models ship across a wide range of products at Apple, including iPhone, Mac, Apple Watch and more, enabling millions of people around the world to get things done every day. Our team provides an opportunity to be part of an incredible research and engineering organization at Apple. By joining the team, you will work with highly talented machine learning researchers and engineers, and work on meaningful, challenging and novel problems.

Description

As a senior machine learning engineer on the team, you will play a key role in our development. You will have responsibilities ranging from model design, implementation, training, model iteration, researching and experimenting with new ideas and evaluation. You will apply state-of-the-art generative AI and machine learning methods to continually advance Siri’s capabilities. At Apple you will have the opportunity to collaborate with many dynamic, cross-functional teams across research, product and software.The ideal candidate will have a passion for applied research, strong modeling skills, good software engineer skills and a desire to get things done. The team innovates on cutting edge generative AI and machine learning technology to deliver outstanding products to customers. If that appeals to you, we can’t wait to hear from you.

Minimum Qualifications

• 5+ years of hands-on industry experience developing deep learning systems : training (and finetuning) models, designing model architectures, researching / experimenting with new ideas, defining and creating metrics, building datasets and performing error triages.
• Deep understanding of Generative AI techniques / literature and proven track record of training (or deploying) LLMs / MLLMs to solve complex problems
• Proficiency in Python and one of the deep learning frameworks (such as PyTorch, JAX, or Tensorflow)
• Excellent communication : strong interpersonal, verbal and written skills
• Masters or PhD in Computer Science, Machine Learning, Engineering or equivalent professional experience

Preferred Qualifications

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 $212,000 and $318,400, 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

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