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Apple
San Diego, California, United States
(on-site)
Posted
2 days ago
Apple
San Diego, California, United States
(on-site)
Job Function
IT/Software Development
Machine Learning Engineer - Proximity Systems and Intelligence Team
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Machine Learning Engineer - Proximity Systems and Intelligence Team
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
DescriptionIn this role you'll be a part of a team of software engineers that design and develop the software stack that enables these user experiences. You will play an integral part in ideating new algorithms and models that would unlock new experiences or improve accuracy and performance of existing ones. You will work with other members of the team to design pipelines that yield the data needed to train and refine your algorithms and models. You will ensure product quality by developing and improving tooling (including internal iOS applications), continuous integration, and data analysis and visualization. You will communicate with cross-functional teams and leadership about your designs, your progress and any risks that you see. You'll test your work, dogfood it, collect metrics, and iterate. Don't forget to sweat the edge cases-an issue that impacts a couple percent of a couple billion devices is a big issue. Come join us to build the technology which enables incredible spatially-aware experiences to our users now and for the future.
Minimum Qualifications
- Have 3-5+ years shipping production grade software and machine learning algorithms
- Possess excellent analytical, programming, and debugging skills
- Have good foundation in C++, Objective-C, or Swift
- Comfortable scripting and developing in Unix-like systems.
- Have Bachelor's or graduate degree in Computer Science, Electrical and Computer Engineering, Mathematics, or similar area
Preferred Qualifications
- Prior experience in pre-training and fine-tuning large models
- Prior experience in building models with sparse labelled data.
- Prior experience in efficient on-device deployment of ML models.
- Possess working knowledge of probability and statistics
- Can succeed in a collaborative environment and can clearly communicate while deftly driving multiple projects across many teams
- Are laser-focused on customer impact with attention to the smallest details that are meaningful to our customers
- Are obsessively passionate and inquisitive, and seek to solve everyday problems in innovative ways
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 $139,500 and $258,100, 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: 81062319

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.
Every new product we invent, service we ...
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