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  • Emplois similaires à : Machine Learning Manager, Siri Speech
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Machine Learning Engineer, Siri SpeechApple • United States
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Machine Learning Engineer, Siri Speech

Apple
  • US
    United States
  • US
    United States
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À propos

Machine Learning Engineer, Siri Speech
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. Description
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. Responsibilities
Design, develop, and implement machine learning models for speech, NLP, and multimodal applications. Investigate and fine tune deep learning architectures for natural voice interaction and speaker recognition. Integrate ML solutions into production systems and existing workflows at scale. Collaborate with data scientists, software engineers, and product managers to define requirements and deliverables. Write clean, efficient, well-documented code and participate in code reviews. Analyze large datasets and apply state-of-the-art methods to build production-quality models. Mentor junior team members and contributes to engineering best practices. Stay current with advances in ML, HCI, LLMs, speech recognition, and signal processing and contribute to research. Minimum Qualifications
Strong proficiency in Python; good coding skills in bash scripting, and any OOP/functional language such as Java, C, C++, Go, Rust etc. Experience with machine learning algorithms and techniques, including deep learning. Hands-on experience with TensorFlow and/or PyTorch; familiarity with scikit-learn. Experience with version control systems such as Git. Good knowledge in machine learning technologies related to speech and audio processing; experience with image processing is a plus. Strong problem-solving skills and ability to work independently as well as in a team environment. Excellent written and verbal communication skills. Preferred Qualifications
M.S in Computer Science or related field, or Bachelor's degree with equivalent experience. Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $220,900, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. 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 At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace Learn about reasonable accommodations for job applicants Apple accepts applications to this posting on an ongoing basis.
  • United States

Compétences linguistiques

  • English
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