Machine Learning Research Engineer, App Store Search

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$142,300–$263,300 / yr
Posted
52 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $229k
This role $203k
$124k most similar roles pay here $310k

This role pays less than 74% of similar roles. Most pay $202,800–$254,750 — the shaded band above. At the midpoint, this role pays about $203k versus about $229k for comparable roles.

Based on 240 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Machine Learning Research Engineer, App Store Search

Role Posting Log in to save

Machine Learning Research Engineer, App Store Search will join the ASE Search team to develop next-generation search and conversational discovery features across various platforms including iOS, macOS, and tvOS. The role involves building and improving machine learning models for retrieval, ranking, query understanding, and document understanding while staying current on research in information retrieval and generative AI. Day-to-day responsibilities include managing the full model lifecycle from data preparation to production deployment, designing A/B experiments, and developing components for large-scale distributed backend systems. The position requires expertise in PyTorch or TensorFlow, knowledge of Large Language Models, Transformers, RAG, and fine-tuning. Candidates will utilize high-performance programming languages such as Go, Java, Python, and Scala, along with big data tools like Apache Spark to solve complex problems in search, recommendation systems, and conversational engines.

Skills

Generative AI Large Language Models Transformers RAG PyTorch TensorFlow Python Go Scala Apache Spark Kubernetes gRPC Information Retrieval Ranking Query Understanding Data Pipelines

What you'll do

  • Apply research in information retrieval and generative AI to improve search systems.
  • Build and improve ML models for retrieval, ranking, query understanding, and document understanding.
  • Manage the full ML lifecycle including data preparation, training, evaluation, and production deployment.
  • Develop components for large-scale distributed backend systems using Go, Java, Python, or Scala.
  • Design and run A/B experiments to measure the impact of system changes.
  • Write automated tests and manage monitoring and alerting for production systems.
  • Develop next-generation search and conversational discovery features for Apple devices.

What we're looking for

  • MS or Ph.D. in Computer Science or a related subject area.
  • 2+ years of relevant industry experience in machine learning or data systems.
  • Knowledge of generative AI systems including Large Language Models, Transformers, RAG, and fine-tuning.
  • Experience with at least one major ML framework such as PyTorch or TensorFlow.
  • Familiarity with search, recommendation systems, conversational engines, or related domains.
  • Proficiency in high-performance programming languages like Go, Java, Python, or Scala.
  • Experience building search capabilities including query understanding, retrieval, ranking, or indexing.
  • Familiarity with big data pipelines using Scala, Python, or Apache Spark.

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