As a Senior Applied AI Engineer specializing in Image Generation, you will join a dynamic and innovative team focused on developing cutting-edge AI assistant capabilities. Your primary responsibility will be to build and enhance image generation models using diffusion, GAN, and transformer-based techniques, while also curating large-scale datasets for training. You’ll implement evaluation frameworks to ensure model correctness and safety, run hillclimbing loops to optimize performance, and develop internal tools that accelerate the AI organization’s ability to deliver high-quality features. Additionally, you will integrate LLMs with product surfaces and APIs, build lightweight ML components, and collaborate closely with cross-functional teams to rapidly iterate on new capabilities based on user feedback. This role requires expertise in deep learning, model deployment at scale, and experience working in fast-paced startup environments, leveraging technologies such as Python, TensorFlow, PyTorch, and Kubernetes.
Train, fine-tune, and evaluate image generation models using diffusion, GAN, and transformer techniques.
Implement evaluation frameworks to assess correctness, safety, and UX quality of AI assistants.
Develop internal tools for prompt experimentation and model comparison telemetry in AI projects.
Integrate LLMs with product surfaces, APIs, and backend systems to enhance assistant features.
Optimize models for inference latency, throughput, and cost by applying techniques like quantization.
Build and maintain serving pipelines for real-time and batch image generation capabilities.
What we're looking for
3+ years of experience in engineering, model building, evaluation, and data analysis.
Solid understanding of deep learning concepts including loss functions, optimization techniques, and regularization.
Experience deploying machine learning models at scale with inference optimization.
Familiarity with image preprocessing pipelines, data augmentation, and dataset curation.
Hands-on experience with hillclimbing AI evaluations to improve model performance.
Comfortable working in fast-paced startup environments on small teams.
Master’s Degree or equivalent practical experience required.
Market check
Salary context
This
$119,800–$234,700
range sits above
27%
of similar postings on FindRole.
Peer median band
$158,900–$260,590
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$177,250–$246,150
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
451 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 417 roles with salary data.