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

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Posted
88 days ago
Nearby
99+ roles within 25 mi

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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.

Based on 240 similar postings.

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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

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Senior Data Scientist at the Advanced Analytics Team, you will play a pivotal role in developing cutting-edge machine learning models to enhance our predictive analytics capabilities. Your day-to-day responsibilities include collaborating with cross-functional teams to identify key business challenges and designing innovative solutions using advanced statistical techniques. You will build scalable ML pipelines, conduct experiments, and deploy models that drive decision-making processes across the organization. Proficiency in Python or R is essential, along with experience in frameworks like TensorFlow and PyTorch. Strong skills in data visualization tools such as Tableau are also required. This role involves working on large datasets to solve complex business problems, making a significant impact on our company’s strategic initiatives.

Skills

Python TensorFlow PyTorch Kubernetes AWS Docker CI/CD Git PostgreSQL MongoDB Scikit-learn Pandas NumPy Jupyter RESTful APIs Swagger GraphQL Selenium JUnit SonarQube

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 integrate them into projects.

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 or PyTorch.
  • Strong understanding of statistical methods and data analysis techniques.
  • Ability to design and implement complex algorithms for AI applications.

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