Machine Learning Engineer, Siri Automatic Speech Recognition
We are looking for engineers passionate about using machine learning to build and maintain multiple machine learning products that power Siri. In this highly accomplished, deeply technical, and close-knit team of machine learning specialists, software engineers, and infrastructure experts, you will build products that are used by millions of people. You will have the opportunity to contribute to exciting projects around Apple and use your data science, machine learning, and analytical skills to tackle challenging technical problems and ship novel products that will delight our customers!
Description
Join a critical team at the heart of speech model development. Our team is responsible for creating the high-quality, large-scale datasets that power Apple's next-generation speech models. We specialize in the automatic annotation and extraction of rich metadata from vast audio datasets, enabling groundbreaking advancements in speech understanding and generation. We are a data-driven team that combines machine learning, data science, and efficient engineering to solve complex challenges at petabyte scale. As a member of this team, you will design, build, and refine the systems that turn raw audio into structured, insight-rich data for our modeling partners. You will not only develop the pipelines but also analyze the data's quality and impact, and improve the specialist models that make our automatic annotation possible. Your work is foundational, directly influencing the performance and capabilities of state-of-the-art speech technologies. You should be enthusiastic about building robust, efficient, and intelligent data solutions.
Minimum Qualifications
- Bachelors, Masters or Ph.D in Computer Science or Engineering or a related field, or equivalent experience
- 5+ years of experience in machine learning with focus on automatic speech recognition
- Proficiency in Python and SQL
- Strong problem-solving and data analytical skills
Preferred Qualifications
- Have contributed to shipping models/products to production
- Experience with foundation models
- Experience with large scale data processing (e.g., Spark, Dask, Ray) and a mindset for writing efficient, scalable code
- Understanding of machine learning fundamentals and practical experience with ML frameworks (e.g., PyTorch, TensorFlow).
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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 $162,500 and $286,400, 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.
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 .
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