Machine Learning Engineer, Siri Attention & InvocationCupertino, California, United States

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. Build end-to-end model training and evaluation pipelines. Deploy machine-learned, on-device models that are aligned with the core values of Apple, ensuring the highest standards of quality, innovation, and respect for user privacy. And work with the people who created the intelligent assistant that helps millions of people around the world get things done just by saying '(Hey) Siri.'

ResponsibilitiesDevelop and advance frictionless voice invocation experiences.

Be responsible for developing and integrating Siri's speech and audio experience in a full range of Apple devices.

Collaborate with researchers to develop advanced machine learning (ML) technologies.

Focus on improving the ML training and evaluation infrastructure for improved research efficiency, and faster modeling iterations.

Develop agile deployment processes which are easier to scale using the best automation practices.

Minimum Qualifications3-5 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 but not limited to C/C

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• /Python, with strong software engineering fundamentals and an interest in optimizing, automating, and scaling end-to-end systems (e.g., PySpark, Airflow)

Strong attention to detail, along with the analytical skills and the 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 to work well in multi-functional teams

Preferred QualificationsMaster'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 full software product life cycle

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.

Apple accepts applications to this posting on an ongoing basis.