Sr Machine Learning Engineer, Proactive

Apple Inc

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$181,100–$318,400 / yr
Posted
29 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $220k
This role $250k
$165k most similar roles pay here $335k

This role pays more than 74% of similar roles. Most pay $189,738–$250,875 — the shaded band above. At the midpoint, this role pays about $250k versus about $220k 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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View all roles at Apple Inc

At a glance

TL;DR · Sr Machine Learning Engineer, Proactive

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Join our dynamic team as a Senior Machine Learning Engineer specializing in proactive search experiences. In this role, you will analyze user intent and context to enhance the relevance of search results, driving higher satisfaction through personalized interactions. Your day-to-day responsibilities include identifying areas for improvement in our search pipeline, leading projects from research to production, designing and deploying machine learning models, and collaborating with cross-functional teams such as product design and data engineering. You will also define evaluation metrics and benchmarks to measure the quality of search outcomes. Ideal candidates possess a strong background in applied machine learning, particularly in search, NLP, or recommender systems, along with proficiency in C/C++ or Python and experience using ML frameworks like TensorFlow or PyTorch.

Skills

Python TensorFlow pyTorch Jax C C++ NLP BERT T5 Search algorithms Evaluation metrics Information retrieval Machine learning frameworks CI/CD

What you'll do

  • Analyze search ranking requirements and identify areas for improvement.
  • Lead projects from research through production in the search pipeline.
  • Design and deploy machine learning models to enhance search relevance.
  • Define evaluation metrics to measure and improve search quality.
  • Partner with product teams to apply search technology to new use cases.

What we're looking for

  • 5+ years of machine learning experience with a focus on search, NLP, or recommender systems.
  • Bachelors in Computer Science, Machine Learning, or related field.
  • Strong programming skills in C/C++ and Python, with experience using ML frameworks.
  • Proficient understanding of search algorithms and evaluation metrics for information retrieval.
  • Ability to design, train, and deploy machine learning models to improve search relevance.

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