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Apple
Cupertino, California, United States
(on-site)
Posted
3 days ago
Apple
Cupertino, California, United States
(on-site)
Job Function
IT/Software Development
Machine Learning Engineer
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Machine Learning Engineer
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
DescriptionAs a member of the team you will be responsible for researching and developing innovative ML solutions for challenging problems that will meaningfully affect how users interact with Siri on Apple products. You will be looking at the user experience we want to deliver, define the optimization metrics and propose solutions to achieve the goal. You will bring these innovations to life by working collaboratively with partner teams to take them all the way to production. You are self-motivated, excellent problem solver with strong execution. You are good at building relationships and work well with change and ambiguity. You have strong programming skills with tried experience prototyping and converting ideas into reality.
Minimum Qualifications
- Passionate about building extraordinary products
- Excellent problem solving, critical thinking, and interpersonal skills
- Excellent programming and debugging skills
- In-depth expertise in developing machine learning models
- Expertise in common ML frameworks (TensorFlow, PyTorch, JAX)
Preferred Qualifications
- PhD or MSc in Computer Science, Computer Engineering or a closely related field.
- Proven industry experience in building ML-based production features
- Experience in optimizing machine learning models for efficient inference on device
- Industry experience in implementing and training multimodal LLM or VLM
- Expertise in one or more of computer vision, audio signal processing and motion signal processing
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 $126,800 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 .
Job ID: 81018176

Apple
Cupertino
,
California
,
United States
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including Apple TV, the App Store, Apple Music, and Apple Pay. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
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