Staff Machine Learning Engineer (Open to Remote)

Triumph is focused on creating a secure freight transaction network, and they are seeking a Staff Machine Learning Engineer to join their AI/ML team. The role involves collaborating with cross-functional teams to develop and deploy machine learning models that enhance customer experience and operational efficiency.

Responsibilities:

• Work closely in a small, cross-functional team of 3-4 people focused on our AI/ML systems
• Collaborate closely with product managers and other stakeholders to understand customer pain points and deliver impactful solutions that support critical features
• Build, deploy, and integrate models that can generalize across diverse document formats and adapt to evolving customer needs
• Ensure models operate within strict latency requirements to ensure seamless customer experiences, while maintaining high performance in extracting and classifying data from complex, unstructured documents
• Explore new techniques in deep learning, transfer learning, and model optimization to improve the accuracy and efficiency of our systems

Requirements:

• 10+ years of software engineering experience; 4+ years with production ML at scale
• Proven success designing and operating distributed ML systems
• Strong experience with model deployment patterns and data pipelines
• Demonstrated ability to influence technical decisions across teams
• Deep understanding of reliability engineering and production support