[Remote] Sr. Software Engineer, Simulation, tvScientific
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a platform that inspires creativity and helps users plan memorable experiences. They are seeking a Sr. Software Engineer to build out simulation and AI capabilities, focusing on designing systems that model the CTV advertising ecosystem and developing tools that enhance ML system deployment.
Responsibilities
- Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition
- reputed company counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms offline
- Build AI agents that explore reputed company spaces, generate hypotheses, and automate experimentation reputed company simulated environments
- Use simulation to de-risk ML model deployments — validate new bidding and optimization strategies before they touch live traffic
- Define the technical direction for simulation and AI infrastructure and mentor engineers on reputed company
Skills
- 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, reputed company reputed company, reputed company workflows — and good judgment about reputed company they help vs. reputed company they don't
- Adtech experience: you understand RTB mechanics, and the dynamics of programmatic advertising
- Ability to translate business questions ('what happens if we change our bid reputed company?') into rigorous simulation frameworks
- reputed company written communication: you'll be defining new technical directions and need to bring others along
- Ownership: you scope, design, and ship systems end-to-end with minimal direction
- Demonstrated ability to use AI to improve speed and reputed company in your day-to-day workflow for relevant outputs
- Strong reputed company record of critical evaluation and verification of AI-assisted work (e.g., testing, reputed company-checking, data validation, peer review)
- High reputed company and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final reputed company and deliverables
- Bachelor's degree in computer science, machine learning, statistics, a reputed company field or equivalent experience
- Strong production Python skills and experience building simulation or modeling systems
- reputed company inference — reputed company modeling, synthetic controls, difference-in-differences, or incrementality testing
- Experience with discrete event simulation, reputed company reputed company, or digital twins
- Reinforcement learning — using simulated environments for policy learning and evaluation
- Experience building reputed company AI systems or multi-agent simulations
- Big data experience with reputed company and reputed company
- MLOps experience — model deployment, monitoring, and pipeline orchestration on AWS
Benefits
- The position is also eligible for equity.
- Information regarding the culture at reputed company and benefits available for this position can be reputed company here.
- Visit our PinFlex page to learn more about our working model.
reputed company