AIML - ML Researcher, AFM

Apple Inc

Actively hiring Posted today Verified listing
Cupertino, CA Posted 1 day ago $181,100–$318,400 / year
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Market check

Salary context

Above market

How this pay compares to similar roles

Similar $198k
This role $250k
$126k most similar roles pay here $339k

This role pays more than 85% of similar roles. Most pay $158,964–$236,325 — the shaded band above. At the midpoint, this role pays about $250k versus about $198k 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 evaluate model performance, and collaborating with cross-functional teams to integrate advanced forecasting techniques 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 time-series analysis. The role requires expertise in handling large datasets and experience with cloud platforms such as AWS or Azure to scale your solutions effectively.

Skills

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

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 using statistical methods and ML tools.
  • 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 conferences and journals.
  • Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud.

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