Machine Learning Engineer Job at Apple Inc., Washington DC

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  • Apple Inc.
  • Washington DC

Job Description

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do.

Description

APPLE INC has the following available in Seattle, Washington. Prototype, develop and experiment with computer vision techniques for search and generative artificial intelligence (AI). Define and measure objective metrics for algorithmic system performance. Understand product requirements and translate them into engineering goals and tasks. Utilize applied computer vision and engineering to create new experiences. Guide data collection and labelling for train and test data sets along with defining quality gates. Build machine learning model training solutions and run systematic experiments to improve performance. Build systems for an end-to-end production grade stack that is capable of achieving low latency and high throughput. 40 hours/week. 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 $145,611 - $204,000/yr and your base pay will depend on your skills, qualifications, experience, and location. PAY & BENEFITS: 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. Apple is an Equal Employment Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities.

Minimum Qualifications

  • Experience and/or education must include:
  • Master’s degree or foreign equivalent in Computer Science or related field.
  • Using Python or C++ to write software that will be a part of search, generative AI, or machine learning systems.
  • Utilizing modern machine learning and computer vision techniques involving deep learning for object segmentation, detection, recognition, or generation.
  • Leveraging deep learning frameworks including PyTorch or TensorFlow to build and experiment with computer vision and machine learning models.
  • Applying knowledge from academic or industrial research to improve computer vision models (eg: for search, object recognition, or video applications).
  • Using industrial or consumer grade computer vision systems and the key components involved for optimal end-to-end performance and reliability.
  • Data structures and algorithms to author functionally correct and optimal computer programs for search and similar applications.
  • Testing, debugging and improving computer programs to achieve functional correctness for a given task.
  • Knowledge of computer system design (or knowledge of the interaction between modules), including leveraging components (or libraries) to build complex systems.

Preferred Qualifications

  • N/A
  • 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. Learn more about your EEO rights as an applicant.

Job Tags

Relocation,

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