Summary

Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Create groundbreaking technology for large scale systems, natural language, big data, and artificial intelligence. 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 (TTS) Engineer team at Apple. The Siri team is looking for exceptional engineers passionate about delighting customer’s experience, by producing cutting edge applications and technologies.

The AI/ML – Siri Text-to-Speech (TTS) team is looking for exceptional Machine Learning Engineers passionate about delivering delightful customer experiences with Siri voices. The opportunities include developing a cutting edge run-time system, pushing the envelope on machine learning based natural language processing in TTS and deploying AI/ML models to benefit millions of users.
Key Qualifications
Strong expertise in C++ and Python
Experience in natural language processing/machine translation/text -to-speech
Experience in deploying user-facing machine learning systems in production
Knowledge of machine learning techniques and hands-on experience with ML toolkits like TensorFlow or PyTorch is a plus
Outstanding spoken and written communication skills
Highly-motivated, creative, organized and a strong problem solver
Description
You will be a part of a cross-functional team that has ambitious goals of enabling our customers to use Siri voices in several languages. You will be responsible for a wide variety of research and development activities in natural language processing, text-to-speech including rapid prototyping, optimizing inference on current and future Apple platforms and building large-scale, distributed systems. We are looking for ML engineers who can envision end-to-end solutions and collaborate with designers, ML researchers and system engineers to bring research ideas to production. To succeed in this role, you should be an excellent programmer and a creative problem solver, who enjoys learning new things, improving existing processes, and contributing to overall system design. You should also be a phenomenal teammate who thrives in a dynamic environment with rapidly changing priorities.
Education & Experience
M.S. or PhD in natural language processing/machine learning or Computer Science related field or equivalent work experience.

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Deep Learning is quickly becoming a key component in the tool bag for Data Scientists.  Deep Learning is a kind of Machine Learning that is being applied to applications like fraud detection, prodcut demand prediction, quality assurance, and predictive and prescriptive maintenance.

Alexander Linden, research vice president at Gartner, said that “deep learning is here to stay and expands ML by allowing intermediate representations of the data. It ultimately solves complex, data-rich business problems. Deep learning can, for example, give promising results when interpreting medical images in order to diagnose cancer early. It can also help improve the sight of visually impaired people, control self-driving vehicles, or recognize and understand a specific person’s speech.”

Gartner predicts that over the next year that 80 percent of data scientists will adopt the use of machine learning.

Gartner said that “focus on data as the fuel for machine learning by adjusting your data management and information governance for machine learning. Data is your unique competitive differentiator. Although the choice of machine-learning algorithms is fairly limited, data sources are abundant and a good long-term investment.”

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