Machine Learning Engineer, MURAL

• We’re looking for a Machine Learning Engineer who’s excited to build intelligent systems that make creative thinking, problem-solving, and teamwork faster and more inspiring
• 5+ years of industry experience in machine learning, deep learning, or applied AI
• Proficiency in Python, PyTorch/TensorFlow, and modern ML toolchains (e.g., Hugging Face, OpenAI API, or custom training frameworks)
• Experience building data pipelines for model training, evaluation, and continuous improvement
• Understanding of retrieval-augmented generation (RAG), ranking systems, or multimodal architectures
• Experience designing and building scalable data and annotation pipelines, as well as evaluation systems for AI model quality
• Experience mentoring or leading others and contributing to a culture of technical excellence and innovation

Desirable

• In this role, you’ll work at the crossroads of applied machine learning, product innovation, and scalable infrastructure
• You’ll design models and systems that power smarter creation and collaboration
• You’ll partner closely with a cross functional team to bring breakthrough AI capabilities directly into the Mural experience
• Design, build, and productionize ML models for fine-tuned, Retrieval-Augmented Generation (RAG), and generative AI features
• Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows
• Collaborate with product and engineering to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance
• Work with product engineers to define and deliver impactful AI features across Mural’s platform
• Partner with infrastructure engineers to develop and optimize systems for training, inference, monitoring, and deployment
• Explore new ideas at the edge of what’s technically possible and help shape the long-term AI vision at Mural
• Our stack: Azure OpenAI, React, Node, MongoDB