below marketmost similar roles pay hereabove market
This role pays more than
88%
of similar roles. Most pay
$210,543–$255,300
— 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
3535 open roles
on FindRole.
Listed pay typically runs
$166,600–$277,600
across 2738 roles with salary data.
The Machine Learning Manager, Visual Generation Foundation Models joins the Intelligent System Experiences team to lead a group of ML engineers. This role focuses on building new capabilities and delivering quality improvements for visual generation foundation models, specifically supporting products like Genmoji, Image Playground, and Image Wand. Day-to-day responsibilities include driving data excellence for foundation model training, leveraging billion-scale datasets, and executing quality-focused data curation strategies. The position requires proficiency in ML frameworks, distributed data processing pipelines, and modern computer vision and generative AI research. The work involves solving deep technical research problems, applying machine learning models to enrich data, and collaborating with research, policy, and responsible AI teams to ensure safety and high execution standards within a visual generative AI ecosystem.
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 curation strategies.
Manage distributed training of foundation models and on-device optimizations.
Stay at the forefront of AI research to apply impactful developments to Apple's ecosystem.
Partner with research, policy, and responsible AI teams to maintain safety and execution standards.
Mentor engineers and manage cross-functional projects to deliver step-change quality improvements.
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
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
Research
Generative AI
Machine Learning
Computer Vision
Distributed Training
Foundation Models
Data Curation
Distributed Data Processing
ML Frameworks
On-device Optimization
Generative AI
Computer Vision
Machine Learning
Distributed Training
Foundation Models
Data Curation
Distributed Data Processing
ML Frameworks
On-device Optimization
Responsible AI
Generative AI
Machine Learning
Computer Vision
Distributed Training
Foundation Models
Data Curation
Distributed Data Processing
ML Frameworks
On-device Optimization
Responsible AI