Yobi is looking to solve the problem of bringing the performance of closed-web user acquisition to the open web and connected TV, while protecting privacy, safety, and ethics, by building the behavioral intelligence layer for any system that makes a personalization decision
Requirements
- Deep expertise in model deployment
- Low-latency mindset
- Systems fluency in Go, Rust, C++, or Java
- Operational maturity in monitoring drift, tracking model lineage, and ensuring observability
- Infrastructure intuition in making serving systems reproducible and portable
- Applied ML understanding in reasoning about model performance and interpreting trade-offs
- Experience with model graph optimization, quantization, caching, batching, and efficient feature retrieval
Responsibilities
- Design, optimize, and operate the systems that bring Behavioral AI models to life in real time
- Work at the core of the production environment, turning trained models into performant, reliable, and continuously improving services
- Shape how models are packaged, versioned, rolled out, and observed across environments
- Ensure every prediction is fast, accurate, and accountable
- Build or scale production ML serving systems—handling versioning, rollouts, rollback strategies, and live experimentation
- Optimize model graph optimization, quantization, caching, batching, and efficient feature retrieval for low-latency inference
- Write robust, high-performance code in Go, Rust, C++, or Java, and bridge to Python for model integration and analysis
Other
- Competitive Base Salary
- Meaningful equity & financial upside
- Annual bonus target based on personal and company performance
- Health, Dental, Vision - most plans will pay little to 0 out of pocket
- Unlimited PTO
