{"@context":"https://schema.org","@graph":[{"@context":"https://schema.org/","@type":"JobPosting","@id":"#jobPosting","title":"Senior Software Engineer
Role details
Job location
Tech stack
Job description
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 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
Requirements
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.
Benefits & conditions
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.
