Sr. Machine Learning Engineer, Siri Speech

Apple Inc.; Cupertino (CA); On-site; USD 185,000 - 325,000; Full time

Benefits offered by this job

Medical and dental coverage

Employee stock programs

Relocation assistance

Job summary

Apple Inc. in Cupertino, California invites applications for a Sr. Machine Learning Engineer, Siri Speech to advance multilingual, multimodal LLMs and speech understanding powering Siri across Apple platforms.

You will design end-to-end ML systems, train models, and deploy research into production, collaborating with research, engineering and design teams to deliver private, user-centric AI experiences at scale.

Qualifications

• MS/PhD in Electrical Engineering, Computer Science or related fields.
• 5-7+ years experience in Machine Learning.
• Experience in developing, training/tuning large generative models or LLMs.
• Experience with machine learning frameworks such as JAX and/or PyTorch.
• Proficient programming skills in Python.

Responsibilities

• Develop and build multilingual, multimodal LLMs to improve speech and conversational experiences for Apple customers worldwide.
• Advance the state of the art in natural language processing, speech and audio modeling.
• Design and build robust speech-centric LLM systems that enable next-generation conversational assistant features across Apple platforms.
• Collaborate closely with cross-functional partners in research, engineering, design, and production to deliver scalable, high-quality ML products.
• Stay current with emerging research and industry trends, and help define the future direction of AI-powered Siri experiences

Skills

LLMs

JAX

PyTorch

Python

Multimodal ML

Reinforcement learning

Speech LLMs

Education

MS/PhD in Electrical Engineering or Computer Science

Job description

Sr. Machine Learning Engineer, Siri Speech

Cupertino, California, United States Machine Learning and AI

Join the team redefining what a deeply personal and integrated assistant can be.As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS.This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs.

Description

We are seeking a candidate with a strong background in applied ML research and development, particularly in multimodal LLM, natural language processing/generation, speech generation/understanding, to join our cross-functional team focused on advancing capabilities in systems like Siri. We are looking for applied ML researchers who can develop end-to-end solutions from data scaling to necessary model implementation and training while collaborating with other engineering teams to bring research to production. You will develop and deploy novel deep learning technologies that make Siri more intelligent, natural, and useful. To succeed in this role, you should be a strong researcher and engineer, an excellent programmer, and a creative problem solver who enjoys learning new techniques, improving systems, and taking ownership of complex problems. You should also thrive as a team player in a fast-paced environment.

Responsibilities

• Develop and build multilingual, multimodal LLMs to improve speech and conversational experiences for Apple customers worldwide.
• Advance the state of the art in natural language processing, speech and audio modeling.
• Design and build robust speech-centric LLM systems that enable next-generation conversational assistant features across Apple platforms.
• Collaborate closely with cross-functional partners in research, engineering, design, and production to deliver scalable, high-quality ML products.
• Stay current with emerging research and industry trends, and help define the future direction of AI-powered Siri experiences

Minimum Qualifications

• M.S. or PhD in Electrical Engineering, Computer Science or related fields
• 5-7+ years experience in Machine Learning
• Experience in developing, training/tuning large generative models or LLMs
• Experience with machine learning frameworks such as JAX and/or PyTorch
• Proficient programming skills in Python

Preferred Qualifications

• Experience in reinforcement learning
• Experience with Speech LLMs or other Multimodal LLMs
• Experience with building & deploying AI agents and LLMs
• Experience with large scale machine learning training/evaluation
• Data-centric vision and hands-on experience in developing and scaling foundation models

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 $184,700 and $324,800, 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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple’s workplace Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.