ML Research Engineer

We are looking for experienced Research Engineers to develop and optimise AI models, conduct cutting-edge research, and push the boundaries of AI and machine learning. Whether your expertise lies in AI model development, applied research, or production-level deployment, this role offers the opportunity to work at the forefront of generative AI innovation.

Key Responsibilities

• Develop and train large-scale generative models, pushing the boundaries of AI capabilities.

• Design and run experiments to explore and refine model architectures, analyze results, and implement data-driven improvements.

• Continuously innovate by developing and deploying new features that enhance user experiences.‍

Requirements

• Proven experience in training large-scale generative models (e.g., image generation, audio synthesis, or large language models).

• Expertise in evaluating generative models, with a deep understanding of qualitative and quantitative metrics.

• Strong proficiency in PyTorch and familiarity with state-of-the-art neural network architectures.

• Hands-on experience building end-to-end machine learning pipelines, including data collection and pre-processing, model training and evaluation, inference serving.

• Strong software engineering skills, ability to design, implement and maintain high-quality code.

What We Offer

• Competitive salary and equity.

• Opportunities for professional growth and leadership.

• A collaborative, research-driven environment.

• The chance to work on cutting-edge AI projects that redefine creative workflows.

• The opportunity to contribute to open-source AI research and publications.