Senior Machine Learning Engineer

• Analyze ad exchange performance data including bid rates, fill rates, and revenue optimization
• Develop comprehensive dashboards for platform efficiency metrics and auction dynamics
• Conduct deep-dive analyses on bidding patterns, inventory quality, and yield optimization

• Design and implement A/B tests for bidding algorithm improvements and platform optimizations
• Establish statistical frameworks for measuring auction efficiency and revenue impact
• Test different floor pricing strategies and targeting algorithm variations

• Build and deploy ML models for real-time bidding optimization and auction dynamics
• Develop targeting algorithms that match advertiser intent with publisher inventory
• Create intent matching systems to improve ad relevance and engagement rates
• Implement floor price optimization models using predictive analytics
• Build yield optimization algorithms for maximizing platform revenue

• Develop automated workflows for auction optimization and inventory management
• Build contextual targeting systems using LLMs and advanced NLP
• Implement automated bidding strategies that adapt to market conditions

• Design and maintain real-time data pipelines for auction data processing
• Deploy models using Amazon SageMaker with millisecond-level inference requirements
• Monitor auction performance and implement automated model retraining 

• Have a passion for statistical analysis and machine learning algorithms 
• Bring demonstrable experience in Python programming skills 
• Enjoy a fast-paced environment
• Bring the experience of SQL proficiency for data querying and manipulation
• Be curious, research, and ask questions
• Be result and target drive
• Demonstrate excellent communication skills, both oral and in writing
• Have exceptional organisational skills and attention to detail
• Be a creative thinker, always thinking “how can we”
• Show a strong desire to succeed and make a difference

• A/B testing frameworks and experimental design 
• Experience with LLMs, RAG systems, and AI agent development
• Experience with MLOps practices including CI/CD for ML systems
• Familiarity with Apache Spark and distributed computing frameworks
• Hands-on experience with AWS services (Bedrock, Glue, Redshift, SageMaker)

• We are collaborative, fair, consciously inclusive, and flexible
• We trust, value, and support our people to make the difference
• We believe that diversity of thought and experience provides the platform for innovation and creativity
• We invest in the development of our people to drive our ambitions forward
• We offer a range of benefits (including your choice of tech) and a competitive package 
• We offer a great work environment in an internationally successful enterprise in the online services industry

Apart from your base salary, you will receive cash bonus.