Data Scientist / Machine Learning Engineer - AI at Massive Scale.

LoopMe is the global leader in brand performance, redefining brand advertising for the digital world and bringing brands into apps. LoopMe was the first to apply AI to brand advertising and its Intelligent Marketplace, finding solutions to industry challenges that haven’t previously been solved. With consumer insights and AI at its core, LoopMe makes brand advertising better, outperforming industry benchmarks for leading global brands. Chartboost expands LoopMe's established presence in the mobile app ecosystem, significantly growing its SDK network and strengthening its outcomes-based AI technology platform. LoopMe has achieved a fully organic gross revenue CAGR of 40% for the period 2018-2025.

• Bachelor’s degree in Computer Science, Maths, Engineering, Physics or similar (MSc/PhD a plus)
• 3+ years’ commercial Python experience
• Track record building ML pipelines that handle large-scale data
• Excellent communication skills, comfortable working across time zones
• A curious, scientific mindset — you ask “why?” and prove the answer

Bonus if you have:

• Experience with adtech or real-time bidding
• Agile / Scrum experience
• Knowledge of high-availability infrastructure (ElasticSearch, Kafka, ClickHouse)
• Airflow expertise

• Design, build, and run large-scale ML pipelines that process terabytes of data
• Apply a mix of supervised learning, custom algorithms, and statistical modelling to real-world problems
• Ship production-grade Python code that’s clear, documented, and tested
• Work in small, agile squads (3–4 people) with data science, machine learning, and engineering peers
• Partner with product and engineering to take models from idea to production to impact
• Work with Google Cloud, Docker, Kafka, Spark, Airflow, ElasticSearch, ClickHouse and more