Machine Learning Engineer at DentalMonitoring developing and improving ML models for orthodontic treatment solutions. Engage in deep learning and computer vision tasks within a hybrid work environment.
About the role
- Senior Machine Learning Engineer working with Adobe's Generative AI Services team. Designing scalable AI systems and optimizing GPU pipelines for Adobe's suite of products.
Responsibilities
- Design and development of core GenAI services and APIs that integrate a wide range of generative models into Adobe’s flagship products.
- Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration.
- Collaborate with Adobe Research and other model developer teams with a focus on model inference strategies and productization of those models.
- Build and optimize GPU-accelerated pipelines for both (customized) model training and inference—prioritizing performance, scalability, and reliability.
- Foster a culture of innovation, technical excellence, and continuous improvement across the organization.
Requirements
- MS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience.
- 10+ years of experience in machine learning, including production-scale deployments.
- 3+ years of experience leading large-scale, GPU-intensive GenAI systems (training, inference, and optimization).
- Experience with GenAI frameworks and tools such as PyTorch, CUDA, Triton, TensorRT, Nvidia Dynamo, and Python.
- Good understanding of generative model architectures, including diffusion models, transformers, and GANs.
- Good communication and leadership skills, with a track record of driving alignment in matrixed organizations.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
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