Machine Learning Engineer

Imagine delving into the heart of digital advertising, where your expertise in machine learning can shape how billions of automated optimizations happen every second. If the idea of building intelligent systems that drive measurable results across the entire customer journey excites you, then we believe you'll find a rewarding challenge with us. We're on the lookout for a talented Machine Learning Engineer to join our vibrant Data Science team at StackAdapt, a company at the forefront of empowering marketers with cutting-edge technology. Come help us push the boundaries of programmatic advertising and make a real impact on how brands connect with audiences worldwide.

Overview

StackAdapt isn't just another tech company; we're a pioneering force in programmatic advertising, giving marketers the tools to engage and convert audiences with unparalleled precision. Our platform harnesses the power of AI to perform an astounding 465 billion automated optimizations per second, seamlessly linking brand and performance marketing. As a Machine Learning Engineer, you'll become an integral part of our Data Science team, a group dedicated to solving intricate problems within our digital advertising platform. You'll collaborate closely with Data Scientists, other Machine Learning Engineers, our broader Engineering teams, and even our CTO/Co-Founder. With databases handling millions of requests each second, you'll have no shortage of fascinating data and complex challenges to explore. StackAdapt proudly operates as a remote-first organization, with team members distributed globally. For this particular role, we are enthusiastic about candidates based in the UK, Ireland, or Germany.

Key Responsibilities

Design, develop, and deploy scalable machine learning pipelines and infrastructure.
Build and refine sophisticated ad optimization models that drive platform performance.
Collaborate with Data Scientists to translate research and prototypes into production-ready solutions.
Ensure the reliability, efficiency, and maintainability of our ML systems.
Monitor model performance in real time and implement strategies for continuous improvement.
Work closely with engineering teams to integrate ML solutions into the core platform.
Contribute to architectural decisions and best practices for our evolving ML ecosystem.

Requirements

Proven experience as a Machine Learning Engineer or a similar role, ideally with more than 2 years in the field.
Strong programming skills, particularly in Python, with hands-on experience in relevant ML libraries like TensorFlow, PyTorch, or Scikit-learn.
Solid understanding of machine learning principles, algorithms, and model evaluation techniques.
Experience with building and deploying ML models in production environments.
Familiarity with data processing technologies and large-scale data systems.
Ability to work effectively in a collaborative, cross-functional team setting.
Experience with cloud platforms like AWS, GCP, or Azure and containerization technologies such as Docker or Kubernetes is a significant plus.
A degree in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience.

What You'll Gain

The opportunity to work on cutting-edge machine learning problems at an enormous scale, impacting billions of optimizations daily.
A collaborative and supportive remote-first environment where innovation is encouraged and valued.
Direct exposure to the leadership and strategic direction of a leading ad tech company.
Significant personal and professional growth through challenging projects and continuous learning opportunities.
The chance to contribute to a platform that is constantly evolving and pushing industry boundaries.
Being part of a diverse and global team that values impact and ingenuity.