Transformative AI Leader

Senior Machine Learning Engineer Position

We are at the forefront of innovation, developing cutting-edge machine learning solutions that span a wide range of areas including video generation, voice cloning, talking head generation and more. We have built over twenty applications across various use cases.

Our team is collaborating with a leading corporation to deploy our technologies at scale. Our company is fully bootstrapped and has served hundreds of thousands of customers worldwide.

We are seeking a Senior ML Engineer to help explore, improve and optimize both internal proprietary products and open-source models.

Your main responsibilities will involve designing and optimizing machine learning models, which will take up about 70% of your time, and scaling these models for widespread use, accounting for the remaining 30%. We adopt a top-down methodology for algorithm exploration : initially, we experiment to assess the algorithm's suitability for our specific needs. Following this preliminary evaluation, we delve into each aspect systematically—enhancing the model by optimizing datasets, refining loss functions, modifying architectures, and applying innovative engineering solutions.

You'll be working on next-generation voice cloning, custom AI spokesperson face cloning and other high-end technologies with a focus on being a world-leading creative media platform.

Minimal qualifications include at least two years of hands-on experience with PyTorch, familiarity with training convolution neural networks and diffusion models. You should also have an innate drive for autonomous work and innovation, good communication skills, both written and verbal.

Preferred qualifications include a Bachelor's or Master's in Computer Science, Electronics, or Electrical (alternate evidence of expertise equally welcome), and experience working with state-of-the-art diffusion models such as Flux, Wan, etc.