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Urgent! Senior Software Engineer, Applied Machine Learning Job Opening In Cupertino – Now Hiring Apple
**Weekly Hours:** 40
**Role Number:** 200615147-0836
**Summary**
The Applied Sensing & Health team has built innovative ways for users to improve their health and fitness.
When you exercise and move with your devices, it's the sensor fusion algorithms from the engineers and scientists on this team that track human motion and provide interpretable insights.
Join us to work with people who have expertise and passion to model human movement and have a positive impact in users' lives.
As a member of our dynamic group, you will have the unique and rewarding opportunity to shape upcoming products that will delight and inspire millions of Apple's customers every single day.
**Description**
The Applied Sensing & Health team delivers Health and Fitness features for Apple Watch, iPhones and other Apple products.
We are looking for a versatile software engineer who can bridge the gap between ML research and production systems.
In this role, you'll architect and implement complex C++ systems for sensor data processing, translate ML research into optimized production algorithms, analyze and visualize data to drive insights, and help maintain complex system software with multi-threading and real-time constraints.
Your work will span from low-level systems programming to ML model implementation to data analysis - sometimes building sophisticated algorithms, sometimes crafting the critical plumbing that makes everything work reliably at scale.
You'll collaborate closely with ML engineers, scientists, and multi-disciplinary teams across the company, working throughout the software lifecycle to deliver best-in-class performant and reliable systems that impact millions of users daily.
**Minimum Qualifications**
+ You have strong proficiency in C++ or Objective-C/Swift development and debugging, particularly for complex, multi-threaded systems
+ You have working knowledge of Python and are comfortable using it for ML model development, data analysis, and prototyping
+ You have solid understanding of ML pipelines, model implementation, and can translate research prototypes into production code
+ You're comfortable with data analysis and visualization, and can derive actionable insights from sensor data
+ You excel at systems-level programming including performance optimization, memory management, and real-time constraints
+ You can architect robust system infrastructure while understanding the algorithmic requirements it needs to support
+ You have experience with concurrent programming, synchronization, and debugging complex threading issues
+ You appreciate both the engineering rigor of production systems and the analytical creativity of applied ML
+ MS or Ph.D in Computer Science, Electrical Engineering, or related field, plus 8+ years of software engineering experience with exposure to both systems programming and ML/data analysis domains
**Preferred Qualifications**
+ You thrive in environments requiring versatility and enjoy switching between systems engineering, ML implementation, and data analysis
+ You thrive in a collaborative environment and can clearly communicate while driving multiple projects across teams
+ You are obsessively passionate and inquisitive, and seek to solve everyday problems in innovative ways
+ You enjoy taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
+ You build partnerships and work collaboratively with others to meet shared objectives
+ Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
+ You consistently achieve results, even under tough circumstances
+ You handle conflict situations effectively, with a minimum of noise
**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 $147,400 and $272,100, 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.
(https://www.apple.com/careers/us/benefits.html)
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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
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Unlock Your Senior Software Potential: Insight & Career Growth Guide
Real-time Senior Software Jobs Trends in Cupertino, United States (Graphical Representation)
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Great news! Apple is currently hiring and seeking a Senior Software Engineer, Applied Machine Learning to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Apple adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Software Engineer, Applied Machine Learning Jobs United States varies, but the pay scale is rated "Standard" in Cupertino. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior Software Engineer, Applied Machine Learning typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Senior Software Engineer, Applied Machine Learning interview at Apple, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Apple's products or services and be prepared to discuss how you can contribute to their success.
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