AIML - Machine Learning Engineer (Response), Siri and Information Intelligence

Key Skills

Aartificial intelligence, Algorithms, Apache Airflow, iOS platform, Kubeflow, Large Language Models - LLMs, Leadership Skill, Machine learning techniques, macOS platform, Natural Language Processing (NLP)

Job Description

Play a part in the next revolution in human-computer interaction on all of Apple’s Platforms; iOS, watchOS, macOS, and tvOS. Contribute to a product that is redefining mobile computing, and work with the people who built the intelligent assistant that helps millions of people get things done—just by asking. Join the SII Response team at Apple. The SII Response team is looking for outstanding Machine Learning Engineers passionate about machine learning and its application with the latest LLM technologies, and unlocking the full potential of these techniques, by building a framework for efficient experimentation and reliable delivery of production models.

Key Qualifications

• 5+ years of experience in the design and development of Machine Learning pipelines, along with a deep understanding of ML algorithms and tools.
• Proficient in 2 programming languages, coupled with expertise in linguistics and phonetics, with a track record of creating language-related products.
• Hands-on experience in constructing scalable data and ML model training pipelines using open-source tools and software such as Airflow and Kubeflow
• Additional experience in text-to-speech, speech recognition, NLP, Vision, and other machine learning technologies is considered advantageous
• Outstanding problem solving, critical thinking, creativity, organizational, design, and interpersonal skills; ability to work with all levels of engineers, scientists, designers, and communicate effectively with management, leadership, and multi-functional partners

The SII Response team is looking for Machine Learning Engineers to take part in building and releasing the voice of Siri. You'll develop tools and frameworks for building and releasing ML models for Siri voices. You'll also build tools for analyzing errors and systemic issues on Siri voices in all locales. Lastly, you'll implement your ideas directly in our TTS voice products. Hundreds of millions of users will experience your contributions through more natural and expressive Siri voices on Apple products.

Education & Experience

Master's degree or higher in Computer Science, Machine Learning, or a 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 $170,700 and $300,200, 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.