Health Sensing ML Engineer
19 days ago Cupertino, CA
About us
Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.
- Size: 10,000+ employees
- Industry: Technology: Manufacturing
Why you should apply for a job to Apple:
Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity
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The Health Sensing team builds outstanding technologies to support our users in living their healthiest, the happiest lives by providing them with objective, accurate, and timely information about their health and well-being. As part of the larger Sensor SW & Prototyping team, we develop algorithms for a variety of health sensors, including PPG, accelerometer, ECG.
Description
In this role, you will be at the forefront of developing ML algorithms for health sensing applications and ensuring the efficient evaluation of these models to be in production at scale. You will interact closely with ML engineers, clinicians, software and hardware engineers. You will deliver solutions on time and with high quality standing up to the standards of a customer facing product.","responsibilities":"Develop and implement machine learning and deep learning models using health sensing data
Analyze large-scale health data from wearable sensors to extract significant insights
Work across the entire ML development cycle, from setting up data pipelines to model evaluation
Analyze model behavior and finding weaknesses; drive design decisions with in-depth failure analysis
Build end-to-end pipelines that prioritize rapid iterations in support for reliability of a complex multi-year projects
Work multi-functionally to bring algorithms to real-world applications; this can span a wide range of partnerships with clinical authorities and engineering specialists across HW and SW
Preferred Qualifications
Interpersonal skills; comfortable in a collaborative and ground breaking research environments
MS or PhD or equivalent experience
Minimum Qualifications
BS in Computer Science, Engineering, Information Systems, or related technical field and a minimum of 3 years of equivalent experience
Proven experience in developing machine learning and deep learning models, preferably in the health domain
Proficiency in Python and ML frameworks e.g. PyTorch, Tensorflow
Experience with health data analysis, including time-series data, sensor data, and biomedical signal processing
Proven understanding of data preprocessing, feature extraction, and model evaluation techniques
Familiar with software development standard methods/teamworks
Sufficient SW skills to run large ML training jobs efficiently on a distributed backend with large volume of data
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 $150,400 and $277,600, 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.
Description
In this role, you will be at the forefront of developing ML algorithms for health sensing applications and ensuring the efficient evaluation of these models to be in production at scale. You will interact closely with ML engineers, clinicians, software and hardware engineers. You will deliver solutions on time and with high quality standing up to the standards of a customer facing product.","responsibilities":"Develop and implement machine learning and deep learning models using health sensing data
Analyze large-scale health data from wearable sensors to extract significant insights
Work across the entire ML development cycle, from setting up data pipelines to model evaluation
Analyze model behavior and finding weaknesses; drive design decisions with in-depth failure analysis
Build end-to-end pipelines that prioritize rapid iterations in support for reliability of a complex multi-year projects
Work multi-functionally to bring algorithms to real-world applications; this can span a wide range of partnerships with clinical authorities and engineering specialists across HW and SW
Preferred Qualifications
Interpersonal skills; comfortable in a collaborative and ground breaking research environments
MS or PhD or equivalent experience
Minimum Qualifications
BS in Computer Science, Engineering, Information Systems, or related technical field and a minimum of 3 years of equivalent experience
Proven experience in developing machine learning and deep learning models, preferably in the health domain
Proficiency in Python and ML frameworks e.g. PyTorch, Tensorflow
Experience with health data analysis, including time-series data, sensor data, and biomedical signal processing
Proven understanding of data preprocessing, feature extraction, and model evaluation techniques
Familiar with software development standard methods/teamworks
Sufficient SW skills to run large ML training jobs efficiently on a distributed backend with large volume of data
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 $150,400 and $277,600, 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.
Additional Information
- Salary: $150,400 – $277,600
- Posted: 19 days ago