AIML - ML Engineer, Siri Multi-modal Systems
2 weeks ago
Summary
Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Build groundbreaking technology for large scale systems, spoken language, computer vision, big data, and artificial intelligence. And work with the people who crafted the intelligent assistant that helps millions of people get things done - just by asking. Join the Siri multi-modal learning team at Apple
The Siri team is looking for machine learning engineer to influence in developing Siri's next generation multi-modal assistant on Apple's innovative devices and novel features. You should be eager to get involved in hands-on work researching and developing new Siri experiences with multiple input modalities like speech, vision and other sensors.
Key Qualifications
Machine learning research and development experience on developing systems for computer vision, speech recognition, natural language understanding applications
Fluency in programming languages including but not limited to Python/Java
Proficiency in at least one major machine learning framework, such as Tensorflow, PyTorch etc.
Strong understanding of machine learning for different modalities like computer vision, speech processing, natural language understanding
Proven track record of researching, inventing and/or shipping advanced machine learning algorithms
Creativity and curiosity for solving highly complex problems
Outstanding communication and interpersonal skills with ability to work well in cross-functional teams
Description
You will be a part of a team that's responsible for help research and develop Siri's multi-modal experience in a full range Apple devices. This position requires passion for researching and developing multi-modal machine learning algorithms and systems The role will partner with the speech, vision, natural language understanding teams to deliver a phenomenal Siri user experience. You must have a "make this happen" attitude and willingness to also work hands-on in building machine learning tools, testing, data collection, running experiments as well as work with pioneering computer vision, speech and natural language understanding processing algorithms.
Responsibilities:
Research, design and implementation of machine learning/deep learning algorithms
Benchmarking and fine tuning of machine learning/deep learning algorithms
Optimizing algorithms for real time and low power constraints for embedded devices
Support algorithm integration into Apple products
Collaboration with teams across Apple with multidisciplinary skills
You'll be working closely with engineers from a number of other teams at Apple
You're a standout colleague who thrives in a fast paced environment with rapidly changing priorities
Education & Experience
MS, PhD or equivalent experience in Computer Science, Electrical Engineering or related field with focus on machine learning
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