Applied ML Engineer - Model R&D [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Applied ML Engineer – Model R&D based in United States.

We are looking for a hands-on Applied ML Engineer to bridge the gap between machine learning research and production-ready engineering systems. In this role, you will transform experimental models and research prototypes into reliable, scalable solutions that deliver measurable business impact. Working closely with researchers, engineers, and quantitative specialists, you will take ownership of the full deployment lifecycle, from data pipelines and feature engineering to model serving and monitoring. You will help establish strong software engineering practices within a fast-moving, highly autonomous environment. The position offers an opportunity to contribute to applied ML research while focusing primarily on implementation, system reliability, and performance. You will also support the evolution toward Rust-based infrastructure and work on technology at the intersection of AI, machine learning, and financial markets. This is a remote-first opportunity requiring some overlap with U.S. business hours.