Skip to main contentA logo with &quat;the muse&quat; in dark blue text.

Large Language Model Machine Learning Engineer

AT Apple
Apple

Large Language Model Machine Learning Engineer

Seattle, WA

Summary

Posted: Dec 5, 2024

Role Number:200581993

The VCV-Science Model Optimization and Algorithms Development team brings innovative AI research into Apple products.

Description

We are looking for a strong ML applied scientists and engineers to build ground breaking AI infrastructures to power the infrastructures that Apple in-house ML experts use everyday 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, 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.

Want more jobs like this?

Get jobs in Seattle, WA delivered to your inbox every week.

By signing up, you agree to our Terms of Service & Privacy Policy.


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 related field.

Pay & 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 $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.

    Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

More

  • 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.

Client-provided location(s): Seattle, WA, USA
Job ID: apple-200581993
Employment Type: Other

Company Videos

Hear directly from employees about what it is like to work at Apple.