Machine Learning Engineer | Model Interpretability

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| Malawi

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Machine Learning Engineer | Model Interpretability

1

Apple, Inc.

| Malawi

Contract type: Full-time

Work experience: Up to 1 year | Between 1 and 2 years | Between 2 and 5 years | More than 5 years

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Employment Opportunities, Jobs Machine Learning Engineer | Model Interpretability

Description

Machine Learning Engineer | Model Interpretability

Main subject / occupational skills covered

Summary

Posted: Apr 12,

Role Number:

Human Interface Devices (HID) operates at the intersection of hardware, software, and design. We deliver 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. Our team is responsible for setting the standards of qualification of Machine Learning models across HIDs portfolio. We love to spend time innovating and pushing the boundaries of whats possible to achieve with ML models in real life sensing applications. We aspire to increase the level of explain-ability of ML models and help many teams across Apple and the broader industry to build models they can trust and rely on. 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.

Key Qualifications

3+ years full-time experience in either: Data Analysis, Statistics, Machine Learning, Computer Science
Deep knowledge of machine learning/deep learning methods
Confident with advanced statistical methods
Quality driven, detail oriented, with excellent communication skills

Description

Analyzing feasibility, risks and weaknesses of new models, algorithms and features Exploring new ways of interpreting and understanding reasons behind decisions of ML models Analyzing and visualizing algorithm performance in a concise, illustrative, truthful and comprehensive way Building instrumentation (algorithms, frameworks, pipelines and tools) to power analyses at scale Design performance metrics for model characterization 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

Education & Experience

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

Additional Requirements

Reducing complex concepts into simple visuals
Data acquisition operations (defining experiments and data collection protocols)
Highly parallel data processing environments (Spark, Dask, Celery, Hadoop, Kubernetes etc..)
Apples most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programs. Were proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount - both offer everyone at Apple the chance to share in the companys success. Youll discover many more benefits of working at Apple, such as programs that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products.
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.

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 $161,000 and $242,000, 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 Apples 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 Apples Employee Stock Purchase Plan. Youll 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. 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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Machine Learning Engineer | Model Interpretability

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Machine Learning Engineer | Model Interpretability

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Machine Learning Engineer | Model Interpretability