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CO Salary Range: USD 171,600.00 - 258,100.00 per year
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish!
Our team is working toward a future where our devices are aware of us and our environment, they directly support our health and wellbeing, and they nudge us to be more thoughtful, present, and inspired human beings. We believe there is huge opportunity to improve lives and the world by understanding people, our activities, connections, and the environments we live in using sensing and machine learning on our devices.
Our team works with cross-functional partners across Apple to create high-impact features and new ways to interact on Apple Watch, home products, and new hardware. We prototype new experiences, develop and ship products, and publish our work. We are a creative, multi-disciplinary, optimistic, and collaborative team.
Come join us and build the future!
Description:
The team you will join is responsible for creating the technologies that power new, innovative product features for Apple Watch, like Double Tap, Assistive Touch, Handwashing, and Raise to Speak. We are highly collaborative and partner with a variety of research and product teams across Apple to explore novel experiences and ship features.
We are looking for a versatile Machine Learning Software Engineer who is passionate about developing innovative, ML-driven product features that push the boundaries of sensing and human-computer interaction, and who can work across disciplines - from training advanced models to rapid on-device prototyping and full-scale productization.
In this hybrid role, you'll collaborate closely with designers, ML engineers, and software experts to transform ambitious, loosely defined ideas into next-generation sensing experiences that reach millions of Apple Watch users worldwide. Your responsibilities will include:
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Develop and optimize ML algorithms leveraging multimodal sensor data - like motion and audio - to detect user activities and contextual situations that enhance our understanding of real-world behavior
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Integrate and deploy ML models on-device, building power-efficient frameworks that encapsulate models, interface seamlessly with sensors, and communicate effectively with UX layers
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Drive innovation from concept to deployment, ensuring promising research ideas evolve into high-impact, user-facing features
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Design and implement tools, analytics, and processes to perform in-depth, hands-on analysis for validating and quantifying algorithm performance both offline and on-device
Preferred Qualifications:
Proficient in the full ML development cycle: data collection, model training and optimization, defining metrics, evaluation, performing failure analysis, and model deployment to resource constrained devices
Minimum Qualifications:
M.S. or Ph.D. in Machine Learning, Computer Science, or a related field
Solid knowledge of machine learning methods, statistical analysis, and predictive modeling using time-series data
Strong Python skills with experience writing production-quality code and working with deep learning frameworks such as Py Torch or Tensor Flow
Experience with Swift or Objective-C and developing on Apple platforms
Excellent communication and collaboration skills, with ability to work independently or in small teams
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 .
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 $171,600 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.
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Appleについて

Apple
PublicApple Inc. is an American multinational technology company headquartered in Cupertino, California, in Silicon Valley, best known for its consumer electronics, software and online services.
10,001+
従業員数
Cupertino
本社所在地
$3.5T
企業価値
レビュー
3.9
10件のレビュー
ワークライフバランス
2.5
報酬
4.2
企業文化
3.8
キャリア
3.5
経営陣
3.2
72%
友人に勧める
良い点
Great benefits and compensation
Talented colleagues and supportive teams
Learning opportunities and mentorship
改善点
Work-life balance challenges
High stress and pressure
Fast-paced environment
給与レンジ
11,365件のデータ
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0件のレポート
$114,215
年収総額
基本給
$45,686
ストック
$57,108
ボーナス
$11,422
$79,951
$148,480
面接体験
3件の面接
難易度
3.3
/ 5
期間
28-42週間
内定率
33%
体験
ポジティブ 33%
普通 0%
ネガティブ 67%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
ニュース&話題
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News
·
2d ago
Tracking sleep with Apple Watch? Use these 5 settings for the best accuracy - Tom's Guide
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News
·
2d ago