Senior Machine Learning Engineer

• Siri Attention & Invocation

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.

About the Role

Join the Siri Attention & Invocation team and play a part in the next revolution of Siri invocation. The Siri Attention & Invocation team is looking for a Senior Machine Learning Engineer passionate about developing and advancing natural and mindful Siri invocation experiences on Apple's innovative devices, making Siri an exceptional conversational partner and an attentive listener, focusing on innovative multimodal machine learning solutions that enhance user experiences across Apple's entire device ecosystem. You'll collaborate with software engineers, machine learning engineers, and scientists across technical areas spanning the full range of Siri's capabilities. At Apple, individual imaginations come together to create something wonderful and share it with the world, changing lives for the better.

Description

You will be part of a team whose focus will be on applied machine learning, on building and deploying models that constantly advance the state-of-the-art. But that is only half the story! In Siri Attention & Invocation, we own our user journeys end-to-end. We measure the impact of our deployed models not just on pre-ship evaluation sets, but also post-ship on production traffic. We optimize error rates on existing data. We also define new metrics that take into account the user experience we want to deliver and apply them to the data that best represents the next feature we ship. And we are sometimes constrained by the limits of on-device computation - that is where your ability to innovate will be most impactful.

You will collaborate with many dynamic, cross-functional teams consisting of software engineers and machine learning engineers/scientists. The ideal candidate will excel in both academic rigor and engineering efficacy, staying up-to-date with the latest research advancements as well as delivering reliable and robust models to all devices for all users around the world. If you are passionate about building outstanding products and using the full spectrum of your skills to extend the core technology that lets Siri understand, personalize, engage, and interact in new and exciting ways, then we cannot wait to hear from you.

As a member of the team you will be responsible for researching and developing innovative ML solutions for challenging problems that will meaningfully affect how users interact with Siri on Apple products. You will be looking at the user experience we want to deliver, define the optimization metrics and propose solutions to achieve the goal. You will bring these innovations to life by working collaboratively with partner teams to take them all the way to production. You are self-motivated, excellent problem solver with strong execution. You are good at building relationships and work well with change and ambiguity. You have strong programming skills with experience prototyping and converting ideas into reality.

Minimum Qualifications

• 5+ years of experience with scalable machine learning technologies
• Strong background in machine learning and deep learning
• Proficiency in deep learning / machine learning frameworks (e.g., Py Torch, Tensor Flow, JAX) and programming languages including but not limited to C/C++/Python, with strong software engineering fundamentals and an interest in optimizing, automating, and scaling end-to-end systems (e.g., Py Spark, 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
• Excellent written and verbal communication skills with demonstrated ability to collaborate effectively across multidisciplinary teams and stakeholders

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 full software product life cycle
• Passion for high-quality product and excellent user experience
• Experience with voice assistant technologies or conversational AI models and systems
• Expertise in one or more of computer vision, signal processing, natural language processing, or related fields

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.