Apple Inc.
Machine Learning Engineer, Siri Attention & Invocation
Apple Inc., Cupertino, California, United States, 95014
Machine Learning Engineer, Siri Attention & Invocation
Cupertino, California, United States – Machine Learning and AI
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store 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. Here, you’ll do more than join something — you’ll add something. “Hey Siri, let’s work together at Apple!” The Siri Attention & Invocation team is looking for Machine Learning Engineers passionate about developing and advancing frictionless voice invocation experiences on Apple’s innovative devices, enabling compelling new conversational features for Siri interactions.
Description You will be part of a team that focuses on applied machine learning, building and deploying models that advance the state‑of‑the‑art. We own our user journeys end‑to‑end, measuring impact on both pre‑ship evaluation sets and production traffic. We optimize error rates on existing data, define new metrics aligned with user experience, and innovate within on‑device computation constraints. You will collaborate with cross‑functional teams of software engineers and machine learning experts, staying up‑to‑date with research while delivering reliable, robust models to all Apple devices worldwide.
Responsibilities
Develop and advance frictionless voice invocation experiences.
Be responsible for developing and integrating Siri’s speech and audio experience across a full range of Apple devices.
Collaborate with researchers to develop advanced machine learning technologies.
Improve the ML training and evaluation infrastructure for enhanced research efficiency and faster modeling iterations.
Develop agile deployment processes that are easier to scale using best automation practices.
Minimum Qualifications
3‑5 years of experience with scalable machine learning technologies.
Strong background in machine learning and deep learning; experience in speech recognition is highly desired.
Proficiency in deep learning / machine learning frameworks (e.g., PyTorch, TensorFlow) and programming languages including Python, C/C++; strong software engineering fundamentals and interest in optimizing, automating, and scaling end‑to‑end systems (e.g., PySpark, Airflow).
Strong attention to detail, analytical skills, and willingness to dive into data to explain anomalies and conduct error/deviation analyses.
Outstanding problem‑solving, critical thinking, creativity, and interpersonal skills; ability to communicate effectively and work well in multi‑functional teams.
Preferred Qualifications
Master’s or Ph.D. degree in Computer Science, Electrical Engineering, or related field. Outstanding candidates with Bachelor’s degrees and multiple years of significant engineering/product experience will also be considered.
Industry experience in product development and deployment and understanding of the full software product life cycle.
Compensation and Benefits The base pay range for this role is between $147,400 and $272,100, depending on skills, experience, and location.
Discretionary restricted stock unit awards and participation in the Employee Stock Purchase Plan.
Comprehensive medical and dental coverage.
Retirement benefits.
Discounted products and free services.
Reimbursement for educational expenses—including tuition.
Possibility of discretionary bonuses, commission payments, and relocation assistance.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Equal Opportunity 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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Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store 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. Here, you’ll do more than join something — you’ll add something. “Hey Siri, let’s work together at Apple!” The Siri Attention & Invocation team is looking for Machine Learning Engineers passionate about developing and advancing frictionless voice invocation experiences on Apple’s innovative devices, enabling compelling new conversational features for Siri interactions.
Description You will be part of a team that focuses on applied machine learning, building and deploying models that advance the state‑of‑the‑art. We own our user journeys end‑to‑end, measuring impact on both pre‑ship evaluation sets and production traffic. We optimize error rates on existing data, define new metrics aligned with user experience, and innovate within on‑device computation constraints. You will collaborate with cross‑functional teams of software engineers and machine learning experts, staying up‑to‑date with research while delivering reliable, robust models to all Apple devices worldwide.
Responsibilities
Develop and advance frictionless voice invocation experiences.
Be responsible for developing and integrating Siri’s speech and audio experience across a full range of Apple devices.
Collaborate with researchers to develop advanced machine learning technologies.
Improve the ML training and evaluation infrastructure for enhanced research efficiency and faster modeling iterations.
Develop agile deployment processes that are easier to scale using best automation practices.
Minimum Qualifications
3‑5 years of experience with scalable machine learning technologies.
Strong background in machine learning and deep learning; experience in speech recognition is highly desired.
Proficiency in deep learning / machine learning frameworks (e.g., PyTorch, TensorFlow) and programming languages including Python, C/C++; strong software engineering fundamentals and interest in optimizing, automating, and scaling end‑to‑end systems (e.g., PySpark, Airflow).
Strong attention to detail, analytical skills, and willingness to dive into data to explain anomalies and conduct error/deviation analyses.
Outstanding problem‑solving, critical thinking, creativity, and interpersonal skills; ability to communicate effectively and work well in multi‑functional teams.
Preferred Qualifications
Master’s or Ph.D. degree in Computer Science, Electrical Engineering, or related field. Outstanding candidates with Bachelor’s degrees and multiple years of significant engineering/product experience will also be considered.
Industry experience in product development and deployment and understanding of the full software product life cycle.
Compensation and Benefits The base pay range for this role is between $147,400 and $272,100, depending on skills, experience, and location.
Discretionary restricted stock unit awards and participation in the Employee Stock Purchase Plan.
Comprehensive medical and dental coverage.
Retirement benefits.
Discounted products and free services.
Reimbursement for educational expenses—including tuition.
Possibility of discretionary bonuses, commission payments, and relocation assistance.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Equal Opportunity 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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