Sr. Machine Learning Engineer, Siri Speech

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

Do you have experience in Model training?, We are looking for an exceptional Senior Machine Learning Engineer with deep experience in designing and developing large-scale ML systems and multimodal LLMs, with a focus on conversational AI across language and audio. In this role, you will advance the latest ML techniques and translate them into production systems that shape the Siri experience for millions of users worldwide., 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

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

4.14.1 out of 5 stars Cupertino, CA $181,100 - $318,400 a year, Pulled from the full job description

• Employee stock purchase plan
• Health insurance
• Retirement plan
• Dental insurance
• RSU, 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 $181,100 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.

Are you excited about Generative AI and Large Language Models? Do you want to work on cutting-edge generative technologies that power intelligent, natural interactions for billions of users? Join the SWE Speech team at Apple! Our team develops state-of-the-art machine learning technologies for speech understanding, speech generation, and speech-to-speech interaction. We build scalable infrastructure, high-quality datasets, and advanced models that power Siri, Dictation, and speech-enabled Apple Intelligence features across natural language understanding, dialog generation, speech recognition, and multimodal interaction.