AIML - ML Researcher, AFM

Apple Inc

Actively hiring Posted today Verified listing
Seattle, WA Posted 1 day ago $171,600–$302,200 / year
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Market check

Salary context

Above market

How this pay compares to similar roles

Similar $197k
This role $237k
$128k most similar roles pay here $321k

This role pays more than 76% of similar roles. Most pay $158,147–$236,325 — the shaded band above. At the midpoint, this role pays about $237k versus about $197k for comparable roles.

Based on 239 similar postings.

Employer

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 324 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 230 roles with salary data.

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At a glance

TL;DR

As an ML Researcher at the Advanced Forecasting Models (AFM) team, you will work on cutting-edge research to develop predictive models that enhance decision-making processes across various business units. Your day-to-day responsibilities include designing and implementing machine learning algorithms, conducting experiments to validate model performance, and collaborating with cross-functional teams to integrate these models into real-world applications. You should be proficient in Python or R for data analysis and modeling, familiar with deep learning frameworks like TensorFlow or PyTorch, and have a strong background in statistical methods and optimization techniques. The role requires expertise in time series forecasting and an understanding of large-scale data processing systems such as Apache Spark or Hadoop. Your work will significantly impact the accuracy and efficiency of predictive analytics within our organization, addressing complex business challenges at scale.

Skills

Python TensorFlow PyTorch Scikit-learn Pandas NumPy Jupyter Git GitHub CI/CD AWS Google Cloud Platform Azure Machine Learning Docker Kubernetes PostgreSQL MongoDB RESTful APIs Swagger JSON

What you'll do

  • Conduct advanced research in machine learning algorithms for AFM applications.
  • Develop novel models to enhance accuracy and efficiency of AFM data analysis.
  • Implement cutting-edge techniques to improve resolution and precision in AFM imaging.
  • Analyze complex datasets from AFM experiments to derive meaningful insights.
  • Publish findings in peer-reviewed journals and present at industry conferences.

What we're looking for

  • PhD in Computer Science, Electrical Engineering, or related field.
  • Strong background in machine learning, deep learning, and natural language processing.
  • Experience with large-scale data analysis and modeling techniques.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Publication record in top-tier AI/ML conferences and journals.
  • Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud.

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