AIML - ML Researcher, AFM

Apple Inc

Actively hiring Posted today Verified listing
New York City, NY 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 $197k
This role $250k
$126k most similar roles pay here $339k

This role pays more than 85% of similar roles. Most pay $158,147–$236,325 — the shaded band above. At the midpoint, this role pays about $250k 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 machine learning techniques to enhance predictive analytics for large-scale business forecasting. Your primary responsibilities include developing and refining algorithms that improve accuracy in demand prediction across various industries. You will collaborate closely with data scientists and engineers to integrate your models into production systems, ensuring they scale effectively while maintaining high performance. Ideal candidates possess expertise in Python or R, have a strong background in statistical modeling, and are familiar with cloud platforms like AWS or Azure for deploying machine learning solutions. This role requires an advanced understanding of deep learning frameworks such as TensorFlow or PyTorch, along with experience in time series analysis and anomaly detection.

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 YAML

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 and test ML techniques on large datasets from AFM experiments.
  • Publish findings in scientific journals and present at industry conferences.
  • Collaborate with cross-functional teams to integrate ML solutions into products.

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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