招聘
Apple is where individual imaginations gather together, committing to the values that lead to great work! Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something!
We are seeking an exceptional and highly-motivated Software Engineer to build tools that process and manage data from a wide range of computer vision systems. The data is collected from studies powering products developed from machine learning and AIML.
Description:
In this role, you will be responsible for the development of tools across the entire stack of our data processing solutions for training computer vision systems. Your responsibilities will encompass both customer-facing front-end platforms and automated backend processing components. You will conduct in-depth analysis and research on deep learning infrastructure and distributed systems design and principles. Additionally, you will monitor the performance of existing systems and cloud computing platforms. You will provide the data foundation for a highly collaborative team of hardware, user experience, and deep learning experts.","responsibilities":"Transform requirements and implement them into platform-level software solutions
Collaborate with cross-functional teams to construct automated data processing systems feeding into algorithm development
Design and implement front-end solutions utilized for data collection purposes
Monitor, maintain, and troubleshoot data processing pipelines and data collection front ends
Preferred Qualifications:
Proficiency in front-end application development using frameworks such as React, Vue, Bootstrap, and Angular
Experience in utilizing database technologies such as Postgre
SQL and NoSQL:
Knowledge or experience in machine learning development
Experience implementing solutions with the AWS ecosystem
Proficiency in using source control systems such as GitHub
Experience in monitoring and error tracking tools such as Sentry, Grafana, or Splunk
Experience in deployment tools and platforms such as Kubernetes, Argo, or Docker
Passion for disciplined coding practices and standards: a strong commitment to adhering to coding standards and documentation guidelines
Effective communication skills: the ability to communicate verbally and in writing technical concepts clearly and concisely to a variety of audiences
Collaborative teamwork: proven experience in collaborating with cross-functional teams on common projects
Customer and user experience focus: a dedication to delivering exceptional customer and user experiences
UI/UX excellence: ability to design and implement clean, functional, and effective user interfaces
Data collection and annotation experience: familiarity with data collection and annotation platforms
AI coding assistant proficiency: experience leveraging AI coding assistants to enhance development productivity
Javascript proficiency: proficiency in the JavaScript programming language
AI/ML Framework Experience: experience with AI/ML frameworks, models, and tools such as Claude, Roo Code, Ollama, Py Torch, Tensorflow, OpenCV, and FFmpeg
Minimum Qualifications:
Bachelor's degree or foreign equivalent in Computer Science or a related field
2 years of relevant industry experience
Experience in Python programming:
Experience in writing API interfaces in Graph
QL or REST:
Experience in implementing Django full-stack solutions
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 $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.
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关于Apple

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+
员工数
Cupertino
总部位置
$3.5T
企业估值
评价
3.9
10条评价
工作生活平衡
2.5
薪酬
4.2
企业文化
3.8
职业发展
3.5
管理层
3.2
72%
推荐给朋友
优点
Great benefits and compensation
Talented colleagues and supportive teams
Learning opportunities and mentorship
缺点
Work-life balance challenges
High stress and pressure
Fast-paced environment
薪资范围
11,365个数据点
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0份报告
$114,215
年薪总额
基本工资
$45,686
股票
$57,108
奖金
$11,422
$79,951
$148,480
面试经验
3次面试
难度
3.3
/ 5
时长
28-42周
录用率
33%
体验
正面 33%
中性 0%
负面 67%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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