Senior Machine Learning Engineer

About this role

At Aftershoot, we’re building a global community of photographers who spend less time behind their screens and more time behind the lens. Every feature we create, every update we ship, is designed to make post-processing easier, faster, and smarter for photographers around the world. From culling to editing to retouching. Our AI tools do all the heavy lifting, so photographers can focus on what they do best: capturing moments, telling stories, and creating magic.

We’re a fast-growing, passionate team backed over 100K+ active users globally. Double digit ARR in less than 4 years, amazing investors and team who truly believe in our mission. Our mission is clear: Become the default companion for every photographer in the world. If you care deeply about building meaningful products, working with curious and driven teammates, and being part of a team that genuinely loves what they do, we’d love to meet you.

Let’s create the future of AI in photography, together. 🚀 Your Mission We are looking for an experienced Machine Learning Engineer with deep expertise in Computer Vision and Generative AI to join our team in New Delhi, India, and own the end-to-end development and improvement of various innovative problem statements. You will take full ownership of projects, from ideation to delivery, ensuring successful deployment as well as ML monitoring post-launch.

🎯 What You Will Be Doing Own the entire lifecycle of the Vision and GenAI problem statement, from initial concept throughout deployment. Research, design, develop, and deploy robust and scalable ML systems for various 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 project timelines, ensure alignment of business goals, and drive strong execution.

💪 What We’re Looking For Solid foundation in Deep Learning, Computer Vision, and Generative AI, with a proven experience of 5-8 years, preferably in a fast-paced startup environment. In-depth and practical knowledge of CNNs, GANs, VAEs, Diffusion models, and Inpainting methods, image processing techniques, text-to-image and image-to-image generation architectures, etc. Strong programming skills in Python and proficiency with ML frameworks (e., Tensorflow, Pytorch, JAX) - create code that is understandable, simple, clean, and easily shared with others.