below marketmost similar roles pay hereabove market
This role pays more than
87%
of similar roles. Most pay
$208,462–$257,100
— the blue band above.
At the midpoint, this role pays about
$281k
versus about
$233k
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
3552 open roles
on FindRole.
Listed pay typically runs
$166,600–$277,600
across 2753 roles with salary data.
JOB TITLE: Machine Learning Manager, Visual Generation Foundation Models
The Machine Learning Manager, Visual Generation Foundation Models joins the Intelligent System Experiences team to lead a group of ML engineers in building new capabilities and delivering quality improvements for visual generation foundation models. This role involves solving deep technical research problems by driving data excellence for foundation model training, which includes leveraging billion-scale datasets, applying machine learning models to enrich data, and executing quality-focused data curation strategies. The manager will work with cross-functional partners in ML research, modeling, policy, and responsible AI to maintain safety standards. Key technical requirements include proficiency in ML frameworks and distributed data processing pipelines. The work focuses on the core modeling technology behind Genmoji, Image Playground, and Image Wand, including web-scale datasets, distributed training, and on-device optimizations.
Lead a team of ML engineers to build new capabilities for visual generation foundation models.
Drive data excellence for foundation model training using billion-scale datasets.
Apply machine learning models to enrich data and execute quality-focused data curation strategies.
Manage distributed training of foundation models and develop application-specific adapters.
Implement on-device optimizations for generative AI models.
Stay current with AI research to apply impactful developments and pioneer proprietary experimental ideas.
Ensure high standards of execution and safety by working with policy and responsible AI teams.
What we're looking for
M.S. or PhD in Computer Science or a related field such as Electrical Engineering, Robotics, Statistics, Applied Mathematics, or equivalent experience.
2+ years of experience as an ML Manager leading teams through modern computer vision and generative AI research.
8+ years of experience training state-of-the-art generative or understanding models.
Experience managing cross-functional projects and mentoring engineers through empathy and growth.
Proficiency in ML frameworks and distributed data processing pipelines as a hands-on technical leader.
Excellent communication skills and the ability to drive clarity in ambiguous circumstances.
Prior hands-on research experience working with data and building models (preferred).
Recent projects and experience with modern visual generative AI for images or videos (preferred).
Generative AI
Computer Vision
Machine Learning
Distributed Training
Foundation Models
Data Curation
Distributed Data Processing
ML Frameworks
On-device Optimization
Responsible AI
Generative AI
Computer Vision
Distributed Training
Foundation Models
ML Frameworks
Data Processing Pipelines
Data Curation
On-device Optimization
Machine Learning
Generative AI
Machine Learning
Computer Vision
Distributed Training
Foundation Models
Data Curation
Distributed Data Processing
ML Frameworks
On-device Optimization
Generative AI
Machine Learning
Computer Vision
Distributed Training
Foundation Models
Data Curation
Distributed Data Processing
ML Frameworks
On-device Optimization
Research
Generative AI
Machine Learning
Computer Vision
Distributed Training
Foundation Models
Data Curation
Distributed Data Processing
ML Frameworks
On-device Optimization
Research