AIML - Machine Learning and Applied Research, Responsible AI and Safety

Apple Inc

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Work type
On-site
Location
Seattle, WA
Posted
56 days ago

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How this pay compares to similar roles

Similar $215k
$161k most similar roles pay here $268k

This listing doesn't post a salary. Most similar roles pay $184,150–$246,425.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · AIML - Machine Learning and Applied Research, Responsible AI and Safety

Senior Data Scientist at the Advanced Analytics Team, you will lead the development of predictive models to enhance customer experience in our e-commerce platform. Your day-to-day responsibilities include analyzing large datasets, collaborating with cross-functional teams, and deploying machine learning solutions that drive business growth. You should be proficient in Python or R for data analysis and modeling, familiar with cloud platforms like AWS or Azure, and have a strong grasp of statistical methods and machine learning algorithms. Experience with natural language processing (NLP) and recommender systems is highly desirable as our platform serves millions of users daily, requiring scalable and efficient solutions to address complex business challenges.

What you'll do

  • Develop and implement machine learning models to enhance product recommendations.
  • Analyze large datasets to identify patterns and trends for business insights.
  • Optimize existing algorithms to improve efficiency and accuracy of predictions.
  • Conduct A/B testing to evaluate the impact of new AI features on user engagement.
  • Stay updated with advancements in AI technologies and industry best practices.

What we're looking for

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • Proficiency in Python, Java, C++, or other programming languages.
  • Experience with machine learning frameworks like TensorFlow, PyTorch.
  • Strong understanding of AI algorithms and data structures.
  • Ability to design and implement complex software solutions.

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