The AI Innovation Team at Mural is pioneering how generative AI transforms visual collaboration and decision-making. We’re a remote-first group of engineers, designers, and product thinkers focused on helping teams work together more effectively. Our goal isn’t to replace human creativity. It’s to amplify it, building AI that enhances how people align, communicate, and make decisions visually.
YOUR MISSIONWe’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.
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.
WHAT YOU'LL DO: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
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.
Bonus:
Experience with AI infrastructure and MLOps, including observability, CI/CD, and automation for ML workflows.
Experience working on creative or design-focused ML applications.
OUR STACK
Azure OpenAI, React, Node, MongoDB
The base salary + variable pay for this role ranges from $172,000 - $215,000 + benefits. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. .
Equal OpportunityWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
