Machine Learning Engineer, Siri Speech
About The Position
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 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. Come join us and do your best work. Here at Apple, you'll do more than join something - you'll add something. Join the Siri Speech team and play a part in the next revolution in human-computer interaction. You'll help create groundbreaking technology for large-scale systems, spoken language, big data, and artificial intelligence, building production-quality models that power natural voice experiences used by millions. In this role, you will design and develop machine learning models, fine tune deep learning systems for speaker recognition and multimodal understanding, and collaborate across software engineering, data science, and product to integrate solutions into production.At the Siri Speech team, you will drive research and development for natural voice interaction, investigating new approaches and fine tuning deep learning models. You will design, develop, and implement machine learning models across speech, NLP, and multimodal applications, integrate ML solutions into existing workflows and large-scale systems, and work with large quantities of data to create production-quality models at scale. You will write clean, efficient, well-documented code, participate in code reviews, and mentor junior team members. Collaboration with cross-functional partners to define requirements and deliver high-quality solutions is essential. You will contribute to research initiatives and stay current with advancements in ML, HCI, LLMs, speech recognition, and signal processing. You should be passionate about creating and shipping phenomenal products and thrive in a fast-paced environment with rapidly changing priorities.
Requirements
- M.S in Computer Science or related field, or Bachelor's degree with equivalent experience
Responsibilities
- Design and develop machine learning models
- Fine tune deep learning systems for speaker recognition and multimodal understanding
- Collaborate across software engineering, data science, and product to integrate solutions into production
- Drive research and development for natural voice interaction, investigating new approaches and fine tuning deep learning models
- Design, develop, and implement machine learning models across speech, NLP, and multimodal applications
- Integrate ML solutions into existing workflows and large-scale systems
- Work with large quantities of data to create production-quality models at scale
- Write clean, efficient, well-documented code
- Participate in code reviews
- Mentor junior team members
- Collaboration with cross-functional partners to define requirements and deliver high-quality solutions
- Contribute to research initiatives and stay current with advancements in ML, HCI, LLMs, speech recognition, and signal processing
- Passionate about creating and shipping phenomenal products and thrive in a fast-paced environment with rapidly changing priorities
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Computer and Electronic Product Manufacturing
Number of Employees
5,001-10,000 employees
