Software Engineer

You will design, implement, and deploy software and machine learning components for behavior prediction and environmental interactions. You will build scalable inference, decision-making, and data-processing systems; transform logs into training datasets; evaluate model performance; refine estimation and planning algorithms; and maintain production-quality tools, libraries, testing, visualization, and workflow automation. Responsibilities ---------------- * Design, implement, and deploy software and machine learning components for behavior prediction and environmental interactions * Build scalable software for inference and decision-making in dynamic environments * Build and optimize pipelines for time-series and sensor data * Transform raw logs into structured datasets for modeling and forecasting * Develop testing and evaluation frameworks in simulated environments * Measure model accuracy and robustness against ground-truth data * Implement and refine state-estimation and decision-planning algorithms * Apply generative and deep learning methods to uncertainty modeling * Integrate models into low-latency production systems * Develop tools and infrastructure for visualization, experiment tracking, and continuous model delivery * Maintain modular code and rigorous testing strategies Requirements ------------ * Bachelor's degree or foreign equivalent in Computer Science or a related field * One year of relevant experience * Python * Go or C++ * Scalable software systems and data-intensive pipelines * Deep learning frameworks * Data modeling * SQL * Git * Deep neural networks, generative models, or reinforcement learning * Cloud infrastructure * Containerization * Software-service orchestration tools Benefits -------- * Equity