368,657open jobs
9,442companies
50,883added this week
Browse all
Salary
$133k – $259k per year (Estimated)
Location
In office (Cupertino)
Seniority
Senior · 7+ years exp
Overview
Company
Impact
Profile match
Apple is an American multinational technology company founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne, and headquartered in Cupertino, California. It designs and sells consumer hardware including the iPhone, Mac, iPad, Apple Watch, AirPods and Vision Pro, together with the operating systems and silicon that run them. A growing services division built around the App Store, iCloud, Apple Music, Apple TV+ and Apple Pay now contributes a large share of profit, making Apple one of the most valuable companies in the world.
The Maps Evaluation team is looking for a senior AI/ML engineer to help develop the next generation of Maps Evaluation techniques and tools, to evaluate Maps ML-based systems and features. The engineering position is a role suited for candidates who enjoy approaching a variety of problems with small teams to make an outsized impact on Apple products. The ideal candidate will have experience building and evaluating AI agentic system, search and recommendation systems, NLP systems, and/or GenAI features.

Description

As an AI/ML engineer on the Maps Evaluation team, you have the opportunity to build AI-based techniques and tools to bring the quality of Maps ML-based systems to the next level. You will also be deeply involved in evaluating the GenAI based Maps features. You will work closely with PMs, machine learning engineers and scientists, developers, statisticians and other evaluation engineers to improve a core product that touches millions of users worldwide every single day.

Minimum Qualifications

7+ years of software development experience with at least one major language such as Java or Python

7+ years of experience in designing and evaluating search, recommendation systems, or relevant systems

7+ years of hands-on experience in training ML models for production

Master’s degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields.

Proven record of influencing and partnering with PMs, Software Developers and Machine Learning engineers/scientists

Preferred Qualifications

PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields, with good publication record

Experience in building and evaluating GenAI-based products or features

Proficiency of using analytical tools (e.g.: Jupyter Notebook) for data analysis and visualization

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
368,657 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
Cupertino
$95k – $240k per year (Estimated) • In office • Full-Time • Singapore
Python
SQL
AI/ML
Computer Vision
PyTorch
Scikit-learn
TensorFlow
AI Agents
Analytics
Power BI
Tableau
Apply
$67k – $173k per year (Estimated) • In office • Contractor • 3+ years exp • Bachelor's Degree • Singapore
JavaScript
Python
DevOps
AWS
Azure
GCP
Cybersecurity
ISO 27001
OWASP Top 10
Apply
$77k – $194k per year (Estimated) • In office • Contractor • 5+ years exp • Singapore
Java
SQL
DevOps
CI/CD
Docker
Grafana
Incident Management
Kubernetes
OpenShift
SRE
Apply
$65k – $169k per year (Estimated) • In office • Contractor • 3+ years exp • Bachelor's Degree • Singapore
Python
Analytics
Power BI
Management
Power Automate
Apply
$131k – $281k per year (Estimated) • In office • Contractor • 15+ years exp • Singapore
Java
SQL
Java
Maven
Databases
MS SQL
Oracle
DevOps
AWS
CI/CD
Incident Management
Kubernetes
OpenShift
OpenStack
Apply
$164k – $332k per year (Estimated) • Equity • In office • 10+ years exp • Master's Degree • Seattle
C++
Python
Scala
AI/ML
Embeddings
Fine-tuning
LLM
NLP
RAG
Reinforcement Learning
Apply
$163k – $330k per year (Estimated) • Equity • In office • 7+ years exp • Bachelor's Degree • Santa Clara
C++
Python
C++
PyTorch C++
TensorFlow C++
AI/ML
BERT
NLP
PyTorch
TensorFlow
Recommender Systems
Apply
$103k – $241k per year (Estimated) • Equity • In office • 2+ years exp • Bachelor's Degree • Cupertino
Python
AI/ML
Diffusion Models
Fine-tuning
JAX
PyTorch
Synthetic Data
TensorFlow
Apply
$102k – $239k per year (Estimated) • Equity • In office • Internship • 1+ year exp • Bachelor's Degree • Cupertino
C++
Python
C++
PyTorch C++
TensorFlow C++
AI/ML
JAX
LLM
Multimodal AI
PyTorch
TensorFlow
DevOps
CI/CD
Git
Apply
$155k – $267k per year (Estimated) • Equity • In office • 5+ years exp • Master's Degree • Vancouver
Java
Python
AI/ML
PyTorch
TensorFlow
Recommender Systems
Apply
$140k – $200k per year • In office • Cupertino
Java
Kotlin
Mobile
Kotlin Multiplatform
DevOps
GCP
Apply
$150k – $190k per year • Equity • In office • 5+ years exp • Cupertino
JavaScript
Node JS
Frontend
React.js
DevOps
IAM
QA
Postman
Apply
$192k – $269k per year • Equity • In office • Full-Time • 5+ years exp • Bachelor's Degree • Cupertino • Seattle • San Diego
Rust
DevOps
Cortex
QEMU
Prometheus
Chips/EDA
Cadence Palladium
Synopsys ZeBu
IoT
FreeRTOS
Apply
$230k – $323k per year • Equity • In office • Full-Time • 8+ years exp • Bachelor's Degree • Cupertino • Seattle • San Diego
C++
Apply
$230k – $323k per year • Equity • In office • Full-Time • 10+ years exp • Bachelor's Degree • Cupertino • Seattle
Rust
DevOps
QEMU
Chips/EDA
Cadence Palladium
Synopsys ZeBu
IoT
FreeRTOS
Apply
See all jobs
This is one of many
368,657 more open roles from verified company boards, updated every day.