AI/ML - Software Engineer for Machine Learning, Siri Text-to-Speech
Seattle , Washington , United States
Machine Learning and AI
Posted: Mar 5, 2021
Weekly Hours: 40
Role Number: 200226258
Play a part in the next revolution in human-computer interaction on all of Apple's Platforms; iOS, watchOS, macOS, and tvOS. Contribute to a product that is redefining mobile computing, and work with the people who created the intelligent assistant that helps millions of people get things done-just by asking. Join the Siri Text-to-Speech team at Apple. The Siri Text-to-Speech team is looking for exceptional Software Engineers passionate about machine learning, and unlocking the full potential of these techniques, by building a framework for efficient experimentation and reliable delivery of production models.
- Strong skills in software design, coding, and unit testing
- Experience with training machine learning models
- Extensive experience in Python
- Proficiency with TensorFlow, PyTorch
- Outstanding communication skills
We are looking for a talented software engineer who is passionate about machine learning, and excited to deliver software and services used by millions of people every day. Our software engineers are creative, inspired, innovative, energetic, self-motivated people who love making and shipping products. Are you one of us? You will be responsible for understanding the needs of the modeling teams, and creating robust scripts and systems that meet those needs. This includes features like distributing training across multiple GPUs, automating hyper-parameter exploration, simplifying optimization, and facilitating testing. To succeed in this role, you must be a strong programmer and a creative problem solver who thrives in a fast-paced environment, working across teams and organizations. You enjoy learning new things and creating life-changing applications.
Education & Experience
Masters in Computer Science or related field, or equivalent experience
At least 4 years experience in software development and machine learning