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Machine Learning Engineer Model Interpretability

Recruiter
Apple Inc.
Location
Cupertino
Salary
Competitive
Closing date
29 May 2023

View more

Employer Sector
Technology, ICT & Telecoms
Contract Type
Permanent
Hours
Full Time
Travel
None
Job Type
Analytics, Machine Learning
Machine Learning Engineer Model Interpretability

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 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 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 featuresExploring new ways of interpreting and understanding reasons behind decisions of ML modelsAnalyzing and visualizing algorithm performance in a concise, illustrative, truthful and comprehensive wayBuilding instrumentation (algorithms, frameworks, pipelines and tools) to power analyses at scaleDesign performance metrics for model characterizationDiscovering biases in model behavior and detecting its root causeEnsuring 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 )
  • Apple's 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. We're 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 company's success. You'll 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.
  • 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 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.

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