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For Companies At a Glance
- Tasks: Design and build ML models to enhance creative collaboration using generative AI.
- Company: Join Mural's innovative AI Innovation Team, a remote-first group of tech enthusiasts.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Why this job: Make a real impact by shaping the future of visual collaboration with cutting-edge AI technology.
- Qualifications: 5+ years in machine learning, proficiency in Python, and experience with data pipelines.
- Other info: Collaborative culture focused on creativity and technical excellence.
The predicted salary is between 100000 - 140000 £ per year.
About The Team
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 MISSION
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.
What You'll Bring
- 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 Opportunity
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.
Senior Software Engineer, ML employer: MURAL
Contact Detail:
MURAL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer, ML
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Mural or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to generative AI. This is your chance to demonstrate how you can amplify creativity through tech.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and ML frameworks. Be ready to discuss your experience with data pipelines and model architectures, as these are key to the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Senior Software Engineer, ML
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role. Highlight your machine learning projects, especially those involving generative AI or collaborative tools, to show us you’re a perfect fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re excited about this role and how your background makes you the ideal candidate. Share specific examples of your work in ML and how it relates to enhancing creativity and collaboration.
Showcase Your Projects: If you’ve worked on any relevant projects, don’t hesitate to include links or descriptions in your application. We love seeing practical applications of your skills, especially in creative or design-focused ML applications!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at MURAL
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially around retrieval-augmented generation and the tools mentioned in the job description. Be ready to discuss your past projects and how you've applied these technologies in real-world scenarios.
✨Showcase Collaboration Skills
Since this role involves working closely with cross-functional teams, prepare examples of how you've successfully collaborated with product and engineering teams in the past. Highlight any experiences where your teamwork led to innovative solutions or improved processes.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice explaining your thought process when designing ML models or building data pipelines. Being able to articulate your approach clearly will demonstrate your expertise and problem-solving skills.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in Mural's AI vision and how you can contribute. Inquire about their current projects or challenges they face in implementing generative AI features. This shows you're genuinely interested in the role and the company.
