Qualifications

• M.S. or higher in Computer Science, Computer Engineering, Robotics, Electrical Engineering, or a related technical field.
• 3+ years in applied ML with large-scale datasets.
• Strong proficiency in Python and PyTorch.
• Experience implementing perception or ML systems in production environments.
• Systems thinker with a holistic understanding of data, models, and infrastructure.

Responsibilities

• Adapt and extend existing perception algorithms for Teleo's specific applications.
• Train models as Teleo's operational environment changes and evolves.
• Create auto-annotation and auto-labeling tools using state-of-the-art methods.
• Establish evaluation protocols that align with real-world performance.
• Drive active learning efforts by selecting appropriate data for model improvement.
• Integrate with MLOps to ensure smooth continuous deployment of systems.

Benefits

• Opportunity to work on cutting-edge technology with heavy machinery in construction and mining.
• Collaborative environment with a focus on innovation and problem-solving.
• Exposure to a variety of data modalities and advanced machine learning techniques.
• Potential for career advancement in a growing industry.