Machine Learning Engineer - Speech & Multimodal Language Modeling
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Description
The Special Projects team at Apple is developing novel user-facing features that leverage the
multimodal capabilities of state-of-the-art foundation language models. We are looking for a
highly skilled Machine Learning Engineer to build and evaluate these experiences, with a
specific focus on Multimodal and Speech Language Models. A successful candidate is
experienced in evaluating complex foundation model-driven systems end-to-end, translating
subjective product requirements into objective criteria, has strong statistical analysis skills, and
has worked with Speech Language Models.","responsibilities":"Design and implement processes for evaluating and improving multi-modal generative
models to meet end-to-end product requirements.
Work with Data Engineers to process large scale speech audio data for foundation model
training
Fine-tune Large Language Models (LLMs) and Speech Language Models (SpeechLMs) to
improve performance for specific use cases
Work closely with other ML Researchers to define evaluation criteria and methodology to
systematically evaluate foundation models
Experimental design for testing models/systems under test
Conduct robust statistical analysis to identify model deficiencies and failure states
Preferred Qualifications
PhD in Computer Science, Machine Learning, Statistics, or other STEM field
5+ years of hands-on experience with SpeechLMs or LLMs
Experience with large-scale audio data processing on distributed systems
Experience with prompt evaluation and optimization for generative AI models
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Proficiency in training, fine-tuning, and evaluation of foundation models and frameworks
A track record of publications or technical presentations in Machine Learning journals or
conferences
Excellent communication skills and cross-functional collaboration
Minimum Qualifications
Master's degree in Computer Science or Machine Learning
2+ years of hands-on experience building and evaluating generative AI models
Proficiency in Python and ML frameworks (Pytorch or Tensorflow)
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 .
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 $147,400 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.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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