AI/ML - Machine Learning Engineer, Siri Understanding
Machine Learning and AI
Scroll down the page to see all associated job requirements, and any responsibilities successful candidates can expect.
Join the Siri Team at Apple!
Play a part in the next revolution in human-computer interaction. Contribute to the product that is redefining mobile computing through voice interaction.
You will help create groundbreaking technology for large scale systems, spoken language, big data, and artificial intelligence.
You will be developing and advancing the frictionless voice invocation experience on Apple’s innovative devices, enabling compelling new conversational features for Siri interactions.
Description
You will be part of a team responsible for developing and integrating Siri’s speech and audio experience across a full range of Apple devices.
Your focus will be to continuously improve the invocation experience of Siri voice assistant globally. You will collaborate with researchers to develop advanced machine learning (ML) technologies and agile deployment processes that are easier to scale using the best automation practices.
This position requires a passion for improving the ML training and evaluation infrastructure for enhanced research efficiency and faster modeling iterations.
You will work with the speech, audio hardware, and software engineering teams to deliver a great speech user experience.
You must have a make this happen attitude and a willingness to work hands-on in building tools, testing, running experiments, and working with state-of-the-art speech and audio processing algorithms.
You should thrive in a fast-paced environment and collaborate well with other engineering teams at Apple.
Minimum Qualifications
Key Qualifications
- Strong background in applied machine learning and deep learning; experience in speech, speaker, and / or language recognition is a plus.
- Proficiency in deep learning / machine learning frameworks (e.g., PyTorch, TensorFlow) and scripting languages (e.g., Python, bash), with strong software engineering fundamentals and an interest in optimizing and scaling systems globally.
- Strong coding skills in Python, C / C++; comfortable with frequent, incremental code testing and deployment.
- Demonstrated strength in handling technical uncertainty and collaborating with partner teams to solve complex machine learning modeling problems.
Preferred Qualifications
Education & Experience
PhD in Machine Learning, Computer Science, or related field, or M.S. with 3+ years of experience in Speech / Language Processing or Machine Learning.
Additional Requirements
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 $138,900 and $256,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become shareholders through participation in Apple’s discretionary employee stock programs.
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 reimbursement for certain educational expenses related to advancing your career at Apple.
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.
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