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Apple

AIML - Senior Machine Learning Engineer, Audio Generation, Siri and Information Intelligence

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Cupertino, California, United States

1d ago
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Job Description

Description

Description
As Siri is becoming increasingly complex AI system, it is critical to understand the impact of each ML model on other dependent models, while assessing the impact on Siri end-user experience. Siri team owns the development of advanced evaluation methodologies for ML based systems, model interpretability, and experimentation, to ensure that every release delivers an improved Siri user experience. You will join a team that is redefining computing, creating groundbreaking conversational assistant technologies for both large scale systems and new client devices, and with the people who built the intelligent assistants. The team is searching for talented ML Engineers to work with a passionate, product-focused team to define new approaches for evaluating ML based systems, conversational AI, and model interpretability You will run experiments, statistically interpret data with a mind on causation, data visualization, plus designing, building, and evaluating models. You will work with large amounts of real-world data to analyze and propose changes to Siri user experience. You will ensure data quality throughout all stages of acquisition and processing, data wrangling, etc. Your expertise in defining and measuring the online and offline end-to-end metrics will help communicate, evaluate, and iterate on state-of-the-art deployed models and predictors.

Minimum Qualifications

Minimum Qualifications
  • Knowledge in multimodal foundation models
  • Extensive experience with machine learning frameworks like Tensorflow, PyTorch and Python
  • Good experience with large-scale data processing and distributed systems
  • Excellent problem solving, critical thinking, and communication skills.
  • Excellent data analytical skills.
  • Proven track record to dive into data to discover hidden patterns and conduct error/deviation analysis

Key Qualifications

Key Qualifications

Preferred Qualifications

Preferred Qualifications
  • Expertise in any of the following areas is a BIG plus: foundation Models, LLMs, Audio generation , adversarial machine learning, conversational dialogue systems, natural language generation, and question-answering.
  • Exposure to model interpretability techniques and their real-world advantages/drawbacks
  • Strong attention to detail.
  • B.S., M.S. or Ph.D. in Computer Science, Electrical Engineering or related field is preferred

Education & Experience

Education & Experience

Additional Requirements

Additional Requirements

Pay & Benefits

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 $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.

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  • 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.

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