Full-time (40 hours, 5 days) Research Engineers – Machine Learning Infrastructure are needed in BOT AUTO TX INC’s Houston, TX office to

• Design and develop machine learning infrastructure for data processing, model training, and real-time inference in autonomous systems.

• Build and optimize tools, frameworks, and pipelines to streamline the development, deployment, and monitoring of machine learning models in production environments.

• Test and validate machine learning algorithms in simulated and real-world scenarios to ensure reliability and performance.

• Provide technical support during field trials, and address and solve issues that arise during the deployment and operation of autonomous systems.

• Create and maintain technical documentation for algorithms, software, and systems to facilitate knowledge sharing and team collaboration.

The position requires a Master’s degree in Computer Science, or a closely related field; minimum 2 year’ experience of full-stack integration with machine learning infrastructure in the autonomous driving industry to include the following: designing and developing machine learning infrastructure; creating and optimizing full-stack tools, frameworks, and pipelines; testing and validating machine learning algorithm; and building and maintaining interactive user interfaces, and proficiency in React, TypeScript, Django, Docker, Database.

Annual salary is $200,000. Send resumes to COS, Attn: Qian Chu, BOT AUTO TX INC, 15310 Park Row Dr., Houston, TX 77084, or email to recruiting@bot.auto. Mention job code 1019 in the cover letter.