Applied Machine Learning Engineer

About Avataar : Avataar is revolutionizing the industry with the power of spatial storytelling, moving into a new era of visual discovery by enabling generative AI-powered visual experiences. Our cutting-edge 3D/AR technology is being used to elevate the online shopping experience, pushing beyond the boundaries of conventional 2D images for industry giants across US and Asia. Our globally first AI-led Computer Vision platform takes a deep learning approach to enabling interactive experience creation for diverse enterprises, brands and users. Avataar is at the forefront of driving neural innovation and contributing to setting interoperable industry standards. The company’s strategic partnerships with major stakeholders such as Khronos, Nvidia, Meta, Google, AWS underscore its dedication to driving a revolutionary shift on a global scale, reimagining product experiences and visual discovery like never before. We’ve raised $45mm Series-B from top-tier global investors, including Tiger Global and Sequoia Capital The tech team at Avataar engages in regular research discussions to encourage exploration and experimentation, and we actively participate in leading international conferences such as CVPR, Siggraph, and ECCV The role is about As an Applied ML Engineer, you'll play a key role in developing cutting-edge features for Avataar's Creator product, harnessing the latest advancements in GenAI Vision Models and LLMs to build AI systems that help brands create visual content for their products at scale. You'll collaborate closely with both product and engineering teams, managing the entire feature development process from initial concept to deployment. You may be a good fit if you:

• Have 3+ years of relevant engineering experience in Computer Vision or large scale Machine Learning systems.
• Hold a Bachelor's degree in Computer Science, Electrical Engineering, or a related field with a focus on artificial intelligence, or possess equivalent industry experience.
• Are proficient in PyTorch, Transformer libraries, model training and serving frameworks
• Strong preference for candidates with experience in architecting large scale ML systems
• Open source contributions and GPU optimization experience is a huge plus.
• Experience of shipping ML products to end users
• Excel at problem-solving and can work both independently and collaboratively.
• Strong analytical skills