Machine Learning Engineer

Gemelo.ai, formerly charactr, is building a generative AI platform for AI twins, letting creators and businesses amplify their voice and likeness through unlimited video and audio content creation and personalized conversation and interaction at scale.

We are seeking a highly skilled and motivated Machine Learning Engineer focused on Stable Diffusion and Computer Vision to join our Machine Learning team. We are building our own pipeline for generating photorealistic talking virtual humans with incredibly lifelike and natural synthetic voices and this role will be instrumental in bringing that pipeline and models into production. Experience with machine learning, video, and image diffusion is a requirement.

Role Responsibilities:

• Scout, gather, and refine datasets apt for lip sync, photorealistic virtual human animation, and more

• Build custom Stable Diffusion Models, Datasets, and Pipelines for photorealistic AI avatar generation

• Dive deep into research, prototype development, and model training tailored for virtual human video generation.

• Architect ML services and streamline pipelines for optimal performance.

• Mastermind the ML lifecycle, from conception to deployment and monitoring.

• Fortify and refine ML models, whether cloud-hosted or on-device.

• Constantly scout for cutting-edge ML techniques, ensuringGemelo.ai remains a visual tech vanguard.

Qualifications:

• Minimum 4 years immersed in Machine Learning, deeply familiar with its tools and intricacies.

• Mastery over Deep Learning architectures.

• Fluent in Python, PyTorch, and Linux dynamics.

• Solid experience with REST APIs and inference engines.

• Adept with cloud services and the art of containerization, particularly Docker.

• Strong proficiency in English, both written and spoken.

• Analytical prowess and unmatched problem-solving agility.

• BSc/MSc holder in Computer Science, Physics, Mathematics, or allied domains.

Stand Out with These:

• Savvy with DSP algorithms and Natural Language Processing (NLP).

• Experience in C++, coupled with CUDA proficiency.