below marketmost similar roles pay hereabove market
This role pays more than
66%
of similar roles. Most pay
$197,750–$254,750
— the blue band above.
At the midpoint, this role pays about
$242k
versus about
$226k
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
3497 open roles
on FindRole.
Listed pay typically runs
$174,149–$277,600
across 2702 roles with salary data.
The Sr. Computer Vision and Machine Learning Engineer, Creativity Apps joins the Creativity Apps team to develop next-generation creative editing tools. This role involves designing agentic workflows to solve multi-step user problems, including tool contracts, schemas, and orchestration logic. You will build state-of-the-art vision models from data collection through architecture design and training, while also developing evaluation frameworks for task success metrics and regression testing. Key responsibilities include partnering with client teams to integrate models into runtimes and taking ML-powered features from concept to delivery. Required skills include Python, C++, and deep learning frameworks like PyTorch, JAX, or TensorFlow. You must have experience with transformer-based vision models, GANs, and LLM/VLM-powered agents for multi-step reasoning, planning, and context management within creative applications.
Design agentic workflows including tool contracts, schemas, and orchestration logic to solve multi-step user problems.
Build state-of-the-art vision models from data collection through architecture design and training.
Develop evaluation frameworks for agentic workflows covering task success metrics, benchmarks, and regression testing.
Integrate models and workflows into model runtimes and orchestration frameworks with client teams.
Lead ML-powered features for creators from initial concept through to final delivery.
Train and deploy transformer-based vision models, GANs, and related generative AI methods.
Optimize models for resource-constrained platforms using Core ML, Swift, and iOS/macOS.
What we're looking for
MS in Computer Science, Machine Learning, or a related field and 4+ years of industry experience in generative AI, machine learning, or computer vision.
Strong theoretical and practical knowledge of machine learning and deep learning.
Experience building and evaluating LLM/VLM-powered agents, including tool use, multi-step reasoning, planning, and context management.
Hands-on experience building, training, and deploying transformer-based vision models, GANs, or related methods.
Strong programming skills in Python and/or C++ and a deep learning framework such as PyTorch, JAX, or TensorFlow.
PhD in Computer Science, Machine Learning, or a related field (preferred).
Experience deploying agentic systems to production, including work on AI reliability, safety, or benchmarking (preferred).
Experience fine-tuning LLMs, training adapters, or optimizing models for resource-constrained platforms using Core ML, Swift, and iOS/macOS (preferred).
LLMs
Foundation Models
Agentic Systems
Python
PyTorch
JAX
TensorFlow
Core ML
Swift
iOS
macOS
Retrieval
Fine-tuning
Prompting
Statistical Techniques
deep-learning
Multimodal ML