Brainlabs is a digital media agency – we’re passionate about using data and tech to craft marketing strategies that drive real business results for clients. Our 1000+ Brainlabbers partner with some of the world’s largest advertisers to do just that.
Our mission is simple, we want to become the world’s largest independent media agency, famous for delivering high performance and accelerating the careers of Brainlabbers whilst we’re at it.
Brainlabs has always been a culture-first company. In fact, from the very beginnings of the agency a set of shared principles, philosophies and values was documented in The Brainlabs Handbook, helping us create our unique culture.
As with everything here we always seek to adapt and improve so The Brainlabs Handbook has been fine-tuned to become The Brainlabs Culture Code.
This Culture Code consists of 12 codes that talk to what it means to be a Brainlabber. It’s a joint commitment to continuous development and creating a company that we can all be proud of, where Brainlabbers can turn up to do great work, make great friends and win together.
You can read The Brainlabs Culture Code in full here.
Overview:
We are looking for a skilled Machine Learning Engineer to join our team and work on developing advanced models for marketing optimization and customer insights. You will focus on applying Bayesian Marketing Mix Models (MMM) and Generalized Linear Models (GLMs) to drive business growth. We’re specifically seeking individuals with a strong open-source tooling background—those with experience in proprietary MMM platforms should refrain from applying.
Key Responsibilities: • Develop and implement Bayesian MMM and GLMs to measure marketing effectiveness and optimize spend.
• Collaborate with marketing and data teams to translate business challenges into scalable ML solutions.
• Build and deploy machine learning models using Docker, Flask, and APIs for seamless integration.
• Work on data pipelines and model deployments using open-source tools and cloud environments.
• Clean and preprocess large datasets to train models and gain deeper customer insights.
Qualifications: • 3+ years of experience as a Machine Learning Engineer or in a related role.
• Strong proficiency in Python, open-source machine learning libraries (e.g., scikit-learn, PyMC3, TensorFlow).
• Experience with Bayesian methods, particularly in marketing or resource allocation contexts.
• Hands-on experience with Docker, APIs, and Flask applications.
• Ability to communicate complex models and insights to non-technical stakeholders.
Bonus Skills: • Experience with cloud platforms (AWS, GCP, Azure).
• Exposure to automated CI/CD pipelines for ML deployments.
• Familiarity with marketing analytics or MMM-specific use cases.
Brainlabs is proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know!
Please note that we will never ask you to transfer cash or make any other payment to us in order to apply for a role or to work for Brainlabs. Any such asks are fraudulent and should be reported to the appropriate authorities in your area.
