Qualifications

• Bachelor's degree in relevant fields (AI, Computer Science, Engineering, etc.) or Master's degree with less experience.
• 5 years of experience in AI model development, evaluation, and training, focused on perception and reinforcement learning, or 3 years with a Master's degree.
• Proficiency in machine learning and deep learning algorithms, particularly for autonomy and trajectory prediction.
• Hands-on experience with data management, model architecture, and performance evaluation.
• Strong communication skills to convey complex research to non-experts.

Responsibilities

• Design and implement advanced machine learning algorithms for autonomy and perception.
• Iterate on development of predictive models, including data management and deployment processes.
• Collaborate with a team of research engineers to create prototypes based on academic research.
• Conduct experiments to benchmark and evaluate model performance in varied environments.
• Develop tools that facilitate scalable and reproducible AI research.
• Present research findings to leadership effectively and concisely.
• Stay updated on trends in autonomy and generative AI for innovation opportunities.
• Assist in moving prototypes into fully operational systems.

Benefits

• Opportunities for continuous learning and growth in cutting-edge AI technologies.
• Support for collaboration with experts across various fields in AI research.
• Access to platforms and tools for scalable research projects.