11 days ago

Machine Learning Manager, Siri Speech

Apple

On Site
Full Time
$240,000
Cupertino, CA

Job Overview

Job TitleMachine Learning Manager, Siri Speech
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$240,000
LocationCupertino, CA

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Job Description

About Apple

Apple is a place where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Come join us and do your best work. Here at Apple, you’ll do more than join something — you’ll add something.

The Role: Machine Learning Manager, Siri Speech

The Voice Production and Modeling team is seeking a manager to lead our Voice Character Development team. Join us and lead the revolution in AI voice creation where we marry craftsmanship, engineering and machine learning to create unique, distinctive voice characters that delight our customers. You’ll work with a diverse team of interaction designers and machine learning engineers to develop the underlying technologies and build out processes that enable character development at scale, including auto and human quality validation, audio generation and modeling experiments. If you're passionate about creating exceptional AI products where automation and human expertise work in harmony, this is the role for you!

This position offers an opportunity to shape the voice landscape of Apple Intelligence features at this critical moment in the AI field. The ideal candidate will combine an intuitive understanding of cutting-edge machine learning capabilities with an eye for when a human touch is required to create something truly exceptional. Delivering products that adhere to responsible AI and safety standards is a key part of the team’s mission and you’ll help to drive and champion this critical work with cross-functional partners.

Leadership Responsibilities

As a manager, your team's success is your number one priority. You'll be responsible for cultivating a high-performing team that balances technical innovation with creative excellence. This means setting clear vision and strategy, removing obstacles that prevent your team from doing their best work, and fostering an environment where both rigorous engineering and artistic craftsmanship can thrive. You'll guide technical decisions while empowering your team to take ownership, and you'll be the bridge between your team's groundbreaking work and broader organizational goals.

Minimum Qualifications

  • 2+ years experience leading a software or machine-learning team in the speech technology space.
  • 7+ years in a hands-on machine learning role with demonstrable product impact.
  • Experience taking responsibility and ownership of features and the product roadmap.
  • Excellent interpersonal skills and experience working with people from a wide variety of backgrounds (engineers, designers, researchers, etc.).
  • Committed to encouraging an open and inclusive work environment.
  • Demonstrated ability to communicate effectively, collaborate, and build long-term relationships across the organization.

Preferred Qualifications

  • Bachelors degree in Computer Science, Artificial Intelligence/Machine Learning, Natural Language Processing, Software Engineering or equivalent.
  • Experience working with voice talent recordings and/or other types of speech data.
  • Experience building text-to-speech models.
  • Fluent in another language or dialect.

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 $198,300 and $298,100, 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.

Key skills/competency

  • Machine Learning
  • Speech Technology
  • Team Leadership
  • AI Voice Creation
  • Text-to-Speech
  • Product Roadmap
  • Cross-functional Collaboration
  • Responsible AI
  • Interaction Design
  • Software Engineering

Tags:

Machine Learning Manager
Speech AI
Team Leadership
Product Management
Cross-functional Collaboration
Responsible AI
Voice Character Development
Quality Validation
Audio Generation
Model Experimentation
Strategic Vision
Machine Learning
Speech Technology
Natural Language Processing
Text-to-Speech
AI/ML Engineering
Audio Processing
Deep Learning
Generative AI
Data Modeling
Python

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How to Get Hired at Apple

  • Research Apple's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor. Understand their commitment to innovation and diversity.
  • Tailor your resume for Machine Learning Manager, Siri Speech: Highlight leadership in speech technology, ML expertise, and experience with AI voice creation. Use keywords from the job description.
  • Showcase product impact: Provide concrete examples of how your previous machine learning roles influenced product development and user experience. Quantify achievements where possible.
  • Prepare for technical depth in speech AI: Be ready to discuss text-to-speech models, audio generation, and quality validation. Demonstrate your understanding of cutting-edge ML in speech.
  • Emphasize cross-functional collaboration and responsible AI: Highlight experience working with designers, engineers, and researchers, and discuss your approach to ethical AI development.

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