Machine Learning Engineer | Remote

Crossing Hurdles is seeking a Forward Deployed Machine Learning Engineer to collaborate with researchers and customers to enhance AI systems. The role involves diagnosing real-world problems, designing training strategies, and maintaining production-grade code while serving as the technical owner of pipeline architecture.

Responsibilities:

• Partner directly with researchers at frontier AI labs to identify model gaps, define success metrics, and shape training strategies
• Work embedded with customers to diagnose real-world problems, define objectives, and drive execution end-to-end
• Design task formats, evaluations, and training setups aligned with real-world use cases and outcomes
• Rapidly ship high-quality outputs using off-the-shelf pipelines and own new pipelines from kickoff through production
• Build and maintain production-grade code, integrations, and automated data and training workflows
• Serve as the technical owner of pipeline architecture, bridging researchers, customers, and internal platform teams
• Translate real-world signals and customer feedback into scalable, production-ready AI systems

Requirements:

• Strong engineering background with ownership of complex systems from design through production
• Proven experience owning end-to-end AI or data pipelines in production environments
• Ability to operate effectively in ambiguous, fast-paced environments while shipping iteratively
• Strong communication skills with the ability to translate customer needs into technical execution
• Demonstrated leadership in technical delivery and mentorship
• Comfortable working at the intersection of customer delivery, applied research, and production engineering