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