Apple · Sunnyvale

Senior Machine Learning Engineer - Large Language Model (LLM) Development and Optimization

6/3/2025

Description

As a Senior Machine Learning Engineer, your mission will be to lead efforts in advancing Siri’s language understanding capabilities using cutting-edge LLM technologies. Your responsibilities will include: • Designing and implementing strategies for fine-tuning and adapting foundation models for Siri's diverse use cases. • Developing efficient workflows for generating and curating large-scale datasets to train robust, domain-specific language models. • Optimizing training pipelines to reduce resource utilization while maintaining or improving model performance. • Collaborating with multidisciplinary teams of researchers, software engineers, and product designers to integrate AI innovations into Siri's user experience. • Staying at the forefront of research in LLMs, NLP, and AI, and translating breakthroughs into actionable improvements. If you’re passionate about pushing the limits of conversational AI and want to see your work impact millions of users globally, we’d love to hear from you!

Qualifications

  • MSc or PhD in Computer Science, Machine Learning, or a related field. Equivalent
  • industry experience will also be considered.
  • Published research or significant contributions in the fields of LLMs, NLP, or AI is highly
  • desirable.

Preferred Qualifications

  • Deep expertise in LLM fine-tuning and training: Experience with adapting and
  • optimizing large-scale language models such as GPT or BERT for specific tasks and
  • domains. Familiarity with model training optimization such as distributed training, low-
  • precision techniques, quantization.
  • Data generation and augmentation: Knowledge of synthetic data generation, active
  • learning strategies, and building robust datasets for model training.
  • Strong proficiency in Python and relevant ML frameworks (e.g., PyTorch,
  • HuggingFace).
  • Solid understanding of evaluation metrics for NLP tasks and experience in benchmarking
  • and optimizing model performance.
  • Proven ability to design scalable ML pipelines, including pre-processing, training, and
  • deployment in production environments.
  • Excellent problem-solving, analytical, and collaborative skills.

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 $181,100 and $272,100, 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.

Application

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