Summary

Posted: Aug 15, 2024

Role Number:200563467

As part of Apple Intelligence, Siri team is at the forefront of the next revolution in machine learning. Our innovative product redefines computing by using powerful technologies in speech and audio domain. We are dedicated to creating groundbreaking conversational assistant technologies for both large-scale systems and new client devices, building upon our legacy of intelligent assistant solutions that already assist millions of users worldwide. We are seeking a highly skilled Senior Machine Learning Engineer specializing in speech and audio technologies to join our dynamic team. The ideal candidate will play a pivotal role in the evaluation and enhancement of our product's speech and audio capabilities. They will collaborate closely with multi-functional teams to implement and optimize speech and audio, ensuring the highest level of quality, performance, accuracy, and scalability. This role offers a great opportunity to contribute to the advancement of AI systems and shape the future of computing. As a Machine Learning Engineer within the Siri team, you will define new approaches for evaluating speech and audio to enhance product capabilities. You will collaborate with various language engineers, modeling teams, and product managers to conduct thorough evaluation and analysis of speech and audio. Your expertise in defining and measuring the quality and intelligibility of a speech signal will help communicate, evaluate, and iterate on innovative deployed models and predictors.

• 7+ years of professional work experience applying machine learning to real-world problems with a focus on speech and audio technologies.
• Excellent programming skills in Python, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• In-depth knowledge of natural language processing//text-to-speech.
• Excellent problem solving, critical thinking, and data analysis skills. Strong attention to detail. Proven track record to dive into data to discover hidden patterns and conduct error/deviation analysis
• Effective communication skills and ability to collaborate effectively in a multi-functional team environment.
• Domain knowledge in applied statistics and experiment design are a big plus!
• Enthusiasm for continuing to learn innovative techniques in natural language processing/machine learning/speech.

• Strong background in A/B testing procedure, causal analysis, and cohort analysis.
• Exposure to model interpretability techniques and their real-world advantages/drawbacks
• Good Conversational AI domain knowledge
• Experience working with end-to-end pipelines and/or crowd-sourced data labeling

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.

• 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.