Machine Learning Engineer

Dusker AI specializes in benchmarking and evaluating AI agents to ensure they are ready for real-world deployment. By utilizing expert-driven frameworks, we measure AI performance in areas such as reasoning, reliability, adaptability, and safety. Our tailored approach looks beyond standard metrics to uncover strengths and address gaps, providing critical insights for improvement. Serving a wide range of applications, from conversational agents to autonomous systems, Dusker AI equips organizations with the tools needed to build trustworthy, high-performing AI systems.

This is a full-time, remote opportunity for a Machine Learning Engineer. In this role, you will design, develop, and optimize machine learning models, focusing on pattern recognition, neural networks, and advanced algorithms. You will leverage statistical methods and computer science fundamentals to innovate and improve AI systems. Collaboration with cross-functional teams to evaluate and enhance the reliability, efficiency, and safety of AI agents will be a core part of this role.

• Proficiency in Machine Learning and AI concepts, including Neural Networks and Pattern Recognition
• Strong foundation in Computer Science, covering areas such as Algorithms, Data Structures, and Complexity Analysis
• Solid understanding of applied Statistics and probability concepts for model analysis and evaluation
• Experience in coding with languages like Python, R, or other programming tools commonly used in the field
• Excellent problem-solving and analytical skills
• Ability to work independently in a remote environment and collaborate effectively within a team
• Advanced degree in Computer Science, Mathematics, or a related field is strongly preferred
• Experience with deploying machine learning models in production environments is a plus