Senior Machine Learning Engineer
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Job Description
Senior Machine Learning Engineer building computer vision and generative AI systems for Aftershoot’s photographer-focused AI tools. Owning projects from ideation through deployment and monitoring.
Responsibilities:
- Own the entire lifecycle of Vision and GenAI problem statements from initial concept through deployment
- Research, design, develop, and deploy robust and scalable ML systems for Vision use cases
- Optimize model training and inference pipelines to maximize GPU utilization and minimize costs
- Collaborate with Product, Backend, and Platform teams to define timelines, align business goals, and drive execution
- Ensure successful deployment and ML monitoring after launch
- Take end-to-end ownership of projects from ideation to delivery
Requirements:
- 5–8 years of experience, preferably in a fast-paced startup environment
- Solid foundation in Deep Learning, Computer Vision, and Generative AI
- In-depth practical knowledge of CNNs, GANs, VAEs, Diffusion models, Inpainting methods, image processing techniques, text-to-image and image-to-image generation architectures
- Strong programming skills in Python
- Proficiency with ML frameworks such as TensorFlow, PyTorch, and JAX
- Experience deploying Vision models on edge devices and optimizing for resource constraints
- Ability to stay current with the latest research and try unconventional ideas
- Ability to break down complex and abstract problems into actionable items
- Self-motivated, able to work with minimal oversight and process
- Bonus: experience with 3D computer vision, video processing, text-to-video and image-to-video generation
- Bonus: knowledge of Rust
- Bonus: experience with highly skewed and imbalanced data
- Bonus: familiarity with AWS, GCP, Azure, Docker, and Kubernetes
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