Senior Software Engineer
7 days ago
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. It’s to amplify it, building AI that enhances how people align, communicate, and make decisions visually.
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.
In this role, you’ll work at the crossroads of applied machine learning, product innovation, and scalable infrastructure . 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
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.
~ Experience designing and building scalable data and annotation pipelines, as well as evaluation systems for AI model quality.
~ 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.
Azure OpenAI, React, Node, MongoDB
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. .
We 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.
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