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Senior Machine Learning Engineer - Large Language Models (LLMs), Siri Planner Team

Apple Inc.

Cupertino (CA)

On-site

USD 175,000 - 313,000

Full time

8 days ago

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Job summary

Apple Inc. is seeking a Senior Machine Learning Engineer who will lead advancements in Siri's natural language understanding and planning capabilities using cutting-edge LLM technologies. The successful candidate will develop innovative systems for synthetic training data, optimize model performance, and collaborate with a multidisciplinary team to enhance the Siri experience.

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Educational reimbursement for career advancement
Participation in employee stock programs

Qualifications

  • Advanced degree or equivalent experience in Machine Learning.
  • Proven experience with large-scale ML models.
  • Strong Python skills and experience with ML frameworks.

Responsibilities

  • Develop systems for synthetic training data generation.
  • Implement strategies for continuous optimization of model performance.
  • Collaborate with cross-functional teams to integrate AI innovations.

Skills

Machine Learning Engineering
Generative AI
Python
Problem Solving
Critical Thinking

Education

MSc/PhD in Machine Learning or Computer Science
BSc with 5+ years of experience

Tools

PyTorch
Jax
HuggingFace

Job description

Cupertino, California, United States Machine Learning and AI

Description

As a Senior Machine Learning Engineer, you will lead initiatives to significantly advance Siri’s natural language understanding and planning capabilities using innovative LLM technologies.YOUR CORE RESPONSIBILITIES WILL INCLUDE:• Developing innovative systems for synthetic training data generation and implementing strategies for the continuous optimization of model performance.• Designing and implementing agentic workflows and RAG systems to enhance Siri’s capabilities.• Optimizing model performance for tool calling and reasoning tasks.• Actively staying at the forefront of academic and industry research in LLMs, NLP, and agentic systems, and translating novel insights into practical solutions.• Collaborating closely with a multidisciplinary team of researchers, software engineers, and product designers to seamlessly integrate AI innovations into the Siri user experience.

Minimum Qualifications
  • Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or a related quantitative field; or BSc with 5+ years of relevant industry experience.
  • Proven hands-on experience in machine learning engineering for large-scale models, with a strong focus on generative AI, LLMs, Retrieval Augmented Generation (RAG), or agentic systems.
  • Strong Python proficiency, including development, debugging, and design, coupled with extensive experience using ML frameworks (e.g. PyTorch, Jax, HuggingFace).
  • Excellent problem-solving, critical thinking, and interpersonal skills, with a collaborative attitude.
Preferred Qualifications
  • Applying LLMs for synthetic data generation (e.g. for knowledge distillation) or applying reinforcement learning for post-training or fine-tuning of LLMs.
  • A successful track record of building and deploying end-to-end ML data pipelines (data preparation, storage, training, and inference) in cloud or on-premise environments.
  • Experience with training, fine-tuning, and deploying LLMs in production environments.
  • Proficiency in evaluating LLMs for specific product tasks and performance metrics.
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 $312,200, 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.

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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