Staff Machine Learning Engineer (Open to Remote)

Triumph builds a modern and secure freight transaction network and develops transportation payment solutions for the freight industry. The Staff Machine Learning Engineer will design, build, deploy, and integrate machine learning models and robust data pipelines for high-volume, unstructured document processing. The role also involves collaborating with product managers and stakeholders, leading multi-team ML initiatives, and establishing engineering standards across teams.

Responsibilities:

• You’ll collaborate closely with product managers and other stakeholders to understand customer pain points and deliver impactful solutions that support critical features
• You’ll work with our product group and members of the sales team to ensure we’re building the tools our customers need to succeed
• You'll work on building, deploying, and integrating models that can generalize across diverse document formats and adapt to evolving customer needs
• Leading multi-team ML initiatives that deliver sustained business value
• Establishing clear, repeatable ML engineering standards adopted across teams
• Reducing friction from experimentation to production

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