Machine Learning Interpretability Manager

Key Skills

Algorithms, Apache Hadoop, Data Analysis, Deep Learning, Effective communication skills, Kubernetes-K8s, Machine learning techniques, Python Programming, Software Development, Spark Core

Job Description

Human Interface Devices (HID) operates at the intersection of hardware, software, and design. The group delivers algorithms, software and firmware to power sensors that connect customers to their devices. This includes a multitude of Health and Fitness features on the Watch as well as Biometrics, Multitouch, Force, Haptics and others across Apple devices, many of which are powered by Machine Learning. Our team is responsible for setting the standards of qualification of Machine Learning models across HID’s portfolio. We love to spend time innovating and pushing the boundaries of what’s possible to achieve with ML models in real life sensing applications. We aspire to increase the level of explain-ability of ML models over time and help many teams across Apple and the broader industry to build models they can trust and rely on! Our past projects include TouchID, Heart Rate and Irregular Heart Rhythm Notifications for Watch. To us, success is not the highest performance number in a theoretical sandbox. It is rather a perfectly integrated model that performs at a very high level of quality for the entire spectrum of customers and uses, in a predictable way, without surprises or unintended circumstances. In this role you will collaborate with Algorithms, Software, Firmware, Data and Quality Assurance Engineers to deliver state-of-the-art next generation technologies into Apple products! As a leader, you will be responsible for managing and developing talent, setting expectations, working with cross functional partners to execute on deliverables and driving a technology roadmap forward.

Key Qualifications

• 5+ years as an engineer in either: Data Analysis, Statistics, Machine Learning, Computer Science
• 3+ years of experience managing, leading and developing engineering talent
• Deep knowledge of machine learning/deep learning methods
• Familiar with current state of the art ML Explainability methods
• Confident with advanced statistical methods
• Quality driven, detail oriented, with excellent communication skills

Description

• Leading a team of engineers in executing a technology roadmap -Iterating on design and incorporating feedback from cross functional partners -Looking ahead and exploring new ways of interpreting ML models
• Analyzing feasibility, risks and weaknesses of new models, algorithms and features -Visualizing algorithm performance in a concise, illustrative, candid and comprehensive way
• Building instrumentation (algorithms, frameworks, pipelines and tools) to power analyses at scale -Discovering biases in model behavior and detecting its root cause
• Ensuring fairness for models with large impact running on 1.8 billion active Apple devices

ADDITIONAL REQUIREMENTS

• Reducing complex concepts into simple visuals
• Data acquisition operations (defining experiments and data collection protocols)
• Familiar with highly parallel data processing environments (Spark, Dask, Celery, Hadoop, Kubernetes etc..)

Apple benefits programs vary by country and are subject to eligibility requirements. Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace.

Education & Experience

• MS or PhD in Computer Science, Mathematics, Computer Engineering, Statistics or equivalent in relevant proven experience

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 $173,000 and $260,000, 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.