Software Engineer

Responsibilities

• Design, implement, and deploy software and machine learning components focused on behavior prediction and environmental interactions.
• Build scalable software for inference and decision-making in dynamic environments.
• Build and optimize pipelines for complex datasets, including time-series and sensor data.
• Transform raw logs into structured datasets for training large-scale modeling and forecasting algorithms.
• Develop testing and evaluation frameworks for simulated environments.
• Measure model accuracy and logic robustness against real-world ground-truth data.
• Implement and refine algorithms for state estimation and decision planning.
• Use generative and deep learning methods to improve models that handle uncertainty.
• Collaborate cross-functionally to integrate models into production systems with low-latency performance.
• Develop and maintain tools, libraries, and infrastructure for visualizing model outputs, experiment tracking, and continuous model delivery.
• Maintain high code quality through modular design, mocks, regression tests, and other rigorous testing strategies.

Requirements

• Bachelor’s degree or foreign equivalent in Computer Science or a related field.
• One year of experience in the offered role or a related occupation. Experience may be gained through employment, research, or academic coursework.
• Python.
• Go or C++.
• Scalable software systems and data-intensive pipelines.
• Building and training models with deep learning frameworks.
• Data modeling.
• SQL.
• Modern version control with Git.
• Deep neural networks, generative models, or reinforcement learning.
• Cloud infrastructure.
• Containerization.
• Orchestration tools for deploying and scaling software services.