Senior Machine Learning Engineer, Global Siri
Senior Machine Learning Engineer, Global Siri
Posted on :
02-08-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 212000 - 386300
Vacancy
1 Vacancy
Posted on :
02-08-2025
Job Description
We seek a Senior Machine Learning Engineer / Tech Lead who is passionate about collaborating across teams in Siri and Apple to design build and deploy world-class machine learning systems that help Siri best serve the needs of our this role you will work on creating and improving the accuracy speed reliability and capability of Global Siris models and systems. We are particularly interested in full-stack machine learning engineers with strong experience in research software engineering and have strong leadership should be passionate about building outstanding products and using the full spectrum of your skills to drive technical and organizational advancements. The ideal candidate is equally comfortable with the latest academic/research advancements in ML LLMs NLP and related areas diving into all parts of the full engineering/machine learning stack to diagnose user-facing issues and develop principled solutions and deeply engaging in product metrics and goals with product managers designers and executives. Software engineering experience with both server-based and client-side (e.g. on-device) models is a definite this role the ability to communicate complex technical ideas to diverse audiences including research scientists data scientists engineers designers managers and other stakeholders across Siri and Apple is also position involves a wide variety of skills and addition to your individual technical contributions there are immense opportunities to multiply the impact those around you by mentoring motivating and challenging engineers to deliver features at high quality. If you are looking for a role that is challenging impactful has immense growth opportunities this role is for you.
- Masters or PhD degree in computer science software engineering machine learning language technologies or related fields; outstanding candidates with Bachelors degrees and multiple years years of significant engineering/product experience will also be considered
- 10 years of experience developing shipping and measuring industry-scale machine learning-based software systems; experience working on large-scale NLU systems a strong asset.
- Experience as a senior engineer tech lead or engineering manager for a machine learning-based product including mentoring other engineers working with program and product managers and communicating accomplishments metrics and challenges to cross-functional stakeholders and leaders
- Expertise and experience in Large Language Models (LLMs) or other foundation models ideally demonstrated through publications or shipping foundation model-based features and products.
- Strong background in machine learning deep learning and foundation models as demonstrated through top-tier publications and/or successful development of training data models or software in commercial machine learning systems.
- Excellent software engineering skills: Proficiency in at least one object-oriented language (e.g. Java C Objective-C or Swift) scripting languages (e.g. Python Ruby bash) and deep learning/machine learning frameworks (e.g. TensorFlow PyTorch or CoreML)
- Outstanding problem solving critical thinking creativity organizational design and interpersonal skills; ability to work with all levels of engineers scientists designers and communicate effectively with management leadership and cross-functional partners
- Experience in data science and analytics including data annotation statistical analyses A/B testing and/or conducting experiments and investigations in large-scale usage data environments
- Self-starter with a proven ability to handle multiple projects with strict deadlines
- Experience in the iOS development ecosystem (e.g. Swift Objective-C CoreML or SiriKit) is a plus
- Experience in localization internationalization machine translation or language technologies is an asset
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 $212000 and $386300 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 Apples 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 Apples Employee Stock Purchase Plan. Youll 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 employees also have the opportunity to become an Apple shareholder through participation in Apples 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 Apples Employee Stock Purchase Plan. Youll 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.
Required Experience:
Exec
Employment Type
Full Time
Key Skills
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