About us
Happening is the technology engine powering Superbet Group's global platforms and brands that bring thrill to customers across the world every day. We are a game-changing tech company rewriting the rules of sports betting and gaming. We are shaking up the status quo by building our own end-to-end tech stack, solving deep and complex challenges for millions of customers and shaping our culture to work uniquely for the tech community. A true challenger, our technology handles serious scale on par with the Big Techs, and customer obsession runs through every team. Building our own platform gives us freedom to innovate and flip the legacy perceptions and industry stereotypes.
About the role
We’re looking for a hands-on and motivated Engineering Manager for Applied Machine Learning & Research to support the development and delivery of machine learning systems at Happening. By combining cutting-edge applied machine learning, foundational research, and seamless ML operations, the team harnesses data to revolutionize the online gambling and sports betting experience. From predictive analytics and personalization to fraud detection and real-time recommendations, the team transforms complex data into actionable insights that enhance customer engagement, trust, and satisfaction. By leveraging machine learning to create smarter systems and deeper customer understanding, the team plays a pivotal role in shaping the future of the company, fostering a data-driven culture, and ensuring we deliver unparalleled experiences to our players.
In this role, you’ll split your time between technical contribution, project coordination, and people management — helping your team succeed while staying close to the code.
We’re looking for someone who has:
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Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field
Proven experience (4+ years) in machine learning and data science roles
Proven experience (2+ years) leading/managing engineering teams, supporting the growth and performance of engineers
Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
Experience with cloud computing platforms primarily AWS and containerisation technologies (e.g., Docker, Kubernetes)
Excellent problem-solving skills and the ability to work independently and collaboratively
Strong communication and interpersonal skills
Preferred qualifications:
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Experience in the gaming or entertainment industry
Experience working with tools and technologies such as Spark, Snowflake, Qwak, MLFlow, Airflow, etc
Contributions to open-source AI/ML projects or participation in AI/ML competitions (e.g., Kaggle)
Experience with training and fine-tuning large-scale foundation models (e.g., GPT, BERT, T5) for various tasks
Publications in top AI conferences, such as AAAI, IJCAI, NeurIPS, ICML, ICLR
What you’ll be doing:
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Technical Expertise:
Design, develop, and deploy advanced machine learning models to solve complex business problems
Stay updated with the latest trends and advancements in machine learning and AI technologies
Conduct code reviews and ensure best practices in model development and deployment
Project Management:
Manage and prioritise machine learning projects to align with business goals and objectives
Ensure timely delivery of high-quality machine learning solutions
Coordinate with cross-functional teams to integrate machine learning models into production systems
People Management:
Lead and mentor a team of 4-5 talented data scientists and ML engineers, providing guidance and support in their day-to-day activities
Oversee the execution, development, growth and performance of the ML team
Foster a collaborative and innovative team environment while building strong partnerships with product management and stakeholders
