Machine Learning Engineer

Requirements

• 3+ years' experience as an ML Engineer or Data Scientist
• 3+ years' experience writing production code in Python
• Experience using tools like Git, Docker, Kubernetes, CircleCI
• Solid understanding of ML fundamentals, including supervised learning, ranking, or recommendation systems (experience in Ad-Tech is a plus)
• You have a bias for simplicity and a focus on shipping work that drives measurable business impact
• Strong communication skills and the ability to work effectively in a collaborative, cross-functional team
• Experience mentoring others in the team

What you'll be doing

• Own the design, development, and productionisation of machine learning models used in Ads ranking, bidding, and relevance systems
• Build monitoring, evaluation, and alerting frameworks to detect model underperformance, drift, or unexpected behavior in our production Ads pipelines
• Partner closely with Product Managers and Engineers to turn complex advertising challenges into robust, scalable ML solutions
• Work with data scientists and engineers across the company to productionize models and embed them into high-throughput, low-latency systems
• Contribute to technical excellence within the team by following and setting best practices for ML quality, reliability, and maintainability

Perks and Benefits

• Benefits differ by country, including healthcare, well-being, parental leave, pensions, and generous annual leave allowances
• Time off to support a charitable cause of your choice
• Commitment to diversity, equity, and inclusion in all aspects of the hiring process