AIML - Sr Machine Learning Engineer, Siri and Information Intelligence
7 days ago
Seattle, Washington, United States
Machine Learning and AI
The Siri Information Intelligence Team at Apple is actively seeking a top-tier Senior Machine Learning Engineer to contribute to our bold mission of crafting the ultimate conversational experience within Siri. In this role, you'll have the great opportunity to harness powerful artificial intelligence technologies on premier platforms, ensuring that Apple's devices seamlessly integrate into users' everyday lives. This position presents a distinctive chance to embed powerful AI capabilities into Apple's ecosystem, positively impacting billions of users worldwide
Description
As a vital member of our team, the successful candidate will play a pivotal role in designing and implementing robust dialog management systems. Your primary responsibility will be to enable the voice assistant to engage in fluid conversations with users. Staying abreast of the latest developments in conversational AI and Natural Language Processing (NLP) is crucial, as you'll be tasked with designing, implementing, and evaluating innovative algorithms. We anticipate that you will take the lead in driving development efforts, demonstrating your expertise in a highly multi-functional environment. Exceptional communication and problem-solving skills are essential, as collaboration with partner teams is integral to delivering a seamless end-user experience The features you develop will be deployed on Apple platforms and devices, necessitating compliance with Apple's stringent quality and privacy standards. Additionally, your work will align with the software release cycle.
Minimum Qualifications
- Experience: A minimum of 3 years of hands-on experience in developing and deploying machine learning models, emphasizing Natural Language Processing (NLP) and voice-based conversational systems.
- Programming Skills: Proficiency in Python is a must, along with familiarity with relevant ML libraries/frameworks such as TensorFlow and PyTorch. Bonus points for experience with Swift, Obj-C, and on-device development.
- Deep Learning Expertise: A robust background in deep learning techniques for NLP and Large Language Models (LLM).
Key Qualifications
Preferred Qualifications
- Research Mindset: An ability to keep abreast of the latest advancements in AI/ML/NLP, coupled with a keen curiosity about applying groundbreaking research to real-world applications.
- Collaboration: Proven experience working in multi-functional teams, collaborating seamlessly with software engineers, UX/UI designers, and product managers.
- Problem Solving: Demonstrated excellent problem-solving skills, showcasing an ability to tackle complex challenges innovatively.
Education & Experience
Additional Requirements
- 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 $135,400 and $250,600, 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 take affirmative action to ensure 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.
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