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Senior Applied Scientist - System Intelligence and Machine Learning, ISE

Senior Applied Scientist - System Intelligence and Machine Learning, ISE

Apple Inc.Seattle, WA, United States
30+ days ago
Job type
  • Full-time
Job description

Senior Applied Scientist - System Intelligence and Machine Learning, ISE

Seattle, Washington, United States Software and Services

Description

The successful candidate will join a highly cross-functional team dedicated to product software, back-end infrastructure, and tooling that supports our machine learning initiatives. Our team collaborates with a wide range of internal teams across the company, as well as developers and external partners. This role is focused on the development and deployment of innovative systems and methods for data science and synthesis, while staying current with the latest advancements in these fields.Key responsibilities include :

  • Developing strategies and algorithms for mining large amounts of data numbering in the billions for the purposes of targeted model training.
  • Addressing challenges in automatic evaluation of generative results, identification and classification of failure cases, and strategies for assessing their prevalence and severity.
  • Streamlining human-in-the-loop processes for dataset construction, and creating and implementing systems that execute on strategies to account for subjectivity and human error.
  • Synthesis of training data as well as synthesis of augmentations to real-world data.

Minimum Qualifications

  • Bachelors, Masters or PhD in Computer Science, Mathematics, Physics, or a related field; or equivalent experience.
  • Up-to-date with the state of the art in machine learning and generative technologies as an Applied Scientist, Data Scientist, or Machine Learning Researcher.
  • Proven experience in computer vision, language processing and data synthesis.
  • Strong ability in one or more programming languages, preferably Python.
  • Knowledge of, and proficiency with industry standard tools and methods for model training, statistical analysis and data science.
  • Preferred Qualifications

  • Makes significant hands-on contributions to algorithms and / or implementation.
  • Outstanding communication and presentation skills and the ability to explain difficult technical topics to everyone from data scientists to engineers to business partners.
  • 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 $171,600 and $302,200, 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.

    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 .

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