Applied Scientist II, Demand Enablement, Product Analytics and Operations

What you'll do

• Design multi-agent diagnostic systems, anomaly detection, and feedback loops for campaign delivery issues.
• Develop machine learning models and optimization strategies; analyze data and run A/B experiments.
• Collaborate with software engineers and other teams to deploy and improve end-to-end production systems.

What they ask for

• 3+ years of building models for business application experience.
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
• Programming experience in Java, C++, Python or related language.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.

Nice to have

• Experience developing and implementing deep learning algorithms, particularly computer vision algorithms.
• Experience in professional software development or designing experiments and statistical analysis of results.

Pay

172,400.00 - 223,400.00 USD annually (base salary); 142,800.00 - 193,200.00 USD annually (base salary)

Tools

LLM-based agent architectures, retrieval-augmented generation, time-series anomaly detection, Java, C++, Python, Amazon DSP

AI focus

Build multi-agent AI systems for campaign-delivery root cause analysis, including agent orchestration, hierarchical anomaly analysis, self-learning diagnostic feedback loops, and production ML.