Health Sensing ML Engineer

Apple Inc.; Cupertino (CA); On-site; USD 150,400 - 277,600; Full time

Job summary

Apple Inc. Cupertino seeks a ML Engineer for Health Sensing to develop ML models from health sensor data. You will collaborate with ML, software, hardware engineers and clinicians to deliver reliable, production-ready solutions at scale.

You will analyze health data, implement end-to-end ML pipelines, and drive design decisions through failure analysis, supporting multi-year projects with cross-functional teamwork.

Qualifications

• BS in Computer Science, Engineering, Information Systems, or related technical field.
• Proven experience in developing machine learning and deep learning models, preferably in health domain.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow).
• Experience with health data analysis, including time-series and sensor data.
• Data preprocessing, feature extraction, and model evaluation techniques.
• Familiar with software development standard methods and teamwork.
• Ability to run large ML training jobs on a distributed backend with large data volumes.

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 data pipelines to model evaluation.
• Analyze model behavior and drive design decisions with in-depth failure analysis.
• Build end-to-end pipelines for rapid iterations and reliability on long-running projects.
• Collaborate across hardware and software teams and with clinical authorities as needed.

Skills

Python

PyTorch

TensorFlow

Health data analysis

Time-series data

Distributed training

Data preprocessing

Education

BS in Computer Science or related field

MS or PhD or equivalent

Job description

Cupertino, California, United States Hardware

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

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

Preferred Qualifications

• Interpersonal skills; comfortable in a collaborative and ground breaking research environments
• MS or PhD or equivalent experience

Compensation & 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.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Equal Opportunity

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

Accessibility

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple's workplace.

Learn about reasonable accommodations for job applicants.