RedmondRecruiter Since 2001
the smart solution for Redmond jobs

Large Language Model Machine Learning Engineer

Company: Apple Inc.
Location: Seattle
Posted on: February 3, 2025

Job Description:

Seattle, Washington, United StatesMachine Learning and AIThe VCV-Science Model Optimization and Algorithms Development team brings innovative AI research into Apple products.DescriptionWe are looking for strong ML applied scientists and engineers to build groundbreaking AI infrastructures to power the infrastructures that Apple in-house ML experts use every day to optimize models shipped on devices and servers for Apple Intelligence. We are part of a collaborative group of software developers and deep learning authorities working in the area of neural network optimization, on-device inference, and model evaluation. You will work with world-class talents in visualization, LLM training, on-device optimization, and ML tools/platforms. You will develop reliable and scalable web services for ML developers: e.g., model optimization pipeline, effective ML dev workflow, infrastructure to serve internal service.Minimum Qualifications

  • Experience developing/optimizing/training large language models (LLMs), or large computer vision models, or generative AI models.
  • Software engineering skills in Python and general purpose system admin and infrastructure management abilities.
  • History of applied research in neural network model life cycle or training or a related area application.
  • Track record to drive scientific investigations and experiments and overcome obstacles and uncertainty in a research environment.
  • BS degree and 3+ years of proven experience.Preferred Qualifications
    • Publication record at top AI/ML venues.
    • Experience with LLM LoRA fine-tuning, neural network optimization (e.g. quantization and compression).
    • Experience with on-device/server scale deployment.
    • Experience with languages like C/C++.
    • Infrastructure management and debugging experience.
    • Experimental rigor when training/evaluating LLMs for the purpose of benchmarking LLM optimization algorithms.
    • Strong communication and accountability skills; hard-working, strong work ethic, and collaboration abilities.
    • PhD in a related field.Additional RequirementsAt 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 $135,400 and $250,600, 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.Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.
      #J-18808-Ljbffr

Keywords: Apple Inc., Redmond , Large Language Model Machine Learning Engineer, Engineering , Seattle, Washington

Click here to apply!

Didn't find what you're looking for? Search again!

I'm looking for
in category
within


Log In or Create An Account

Get the latest Washington jobs by following @recnetWA on Twitter!

Redmond RSS job feeds