Senior Machine Learning Scientist – Advertising Cloud

About the role

Appier is seeking a Senior Machine Learning Scientist to join the Advertising Cloud Optimization team, developing core ML algorithms that drive campaign efficiency and advertiser ROI on a massive programmatic advertising platform.

Key responsibilities

• Design, implement, and productionize state‑of‑the‑art ML models to improve campaign outcomes.
• Analyze large‑scale user and auction data to discover predictive patterns and alpha signals for bidding and personalization.
• Collaborate cross‑functionally with engineering, product, and data teams to define roadmaps and deliver impactful solutions.
• Continuously improve system performance through offline experimentation and online testing such as A/B tests and incremental learning.

Required profile

• Bachelor’s degree in Computer Science, Mathematics, EE or related field; Master’s or PhD preferred.
• 4+ years of industry experience in ad tech with focus on performance optimization.
• Proven experience in applied machine learning, especially CTR prediction and recommendation systems.
• Strong ownership and collaboration skills to lead end‑to‑end projects.

Required skills

• Python programming.
• Experience with modern ML frameworks such as PyTorch or TensorFlow.
• Experience with high‑throughput, low‑latency real‑time systems (e.g., RTB engines, stream inference) – listed as bonus.