Software Engineer, tvScientific

We're seeking a Software Engineer to build out our simulation and AI capabilities. You'll design and implement systems that model the CTV advertising ecosystem and develop AI-driven tools.

Responsibilities:

• Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition
• Develop counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms offline
• Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments
• Use simulation to de-risk ML model deployments and validate new bidding and optimization strategies
• Define the technical direction for simulation and AI infrastructure and mentor engineers on the team

Requirements:

• Systems programming experience in Zig or similar (C, C++, Rust)
• Deep understanding of probabilistic modeling, stochastic processes, or agent-based simulation
• Hands-on experience with modern AI tools: LLMs, code generation, agentic workflows
• Adtech experience: understanding RTB mechanics and programmatic advertising dynamics
• Ability to translate business questions into rigorous simulation frameworks
• Clear written communication and ownership: scoping, designing, and shipping systems end-to-end with minimal direction

Nice-to-Haves:

• Strong production Python skills and experience building simulation or modeling systems
• Causal inference, uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
• Experience with discrete event simulation, Monte Carlo methods, or digital twins
• Reinforcement learning, agentic AI systems, or multi-agent simulations
• Big data experience with Scala and Spark
• MLOps experience: model deployment, monitoring, and pipeline orchestration on AWS