> Markdown version of [/jobs/ext/3780892-senior-ml-engineer](https://www.wearedevelopers.com/jobs/ext/3780892-senior-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior ML Engineer - **Company:** Solidgate holding LLC. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Data Infrastructure, Machine Learning, Systems Integration, Transaction Data, Feature Engineering, Build Management, Machine Learning Operations - **Published:** October 16, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/przbt0a6l7 ## About the Role * 4-5+ years in ML or Data Science, with hands-on production experience in classical predictive models (e.g. credit scoring, fraud, risk, recommendations, pricing) * Track record of shipping ML models end-to-end, from idea to production, in a real product environment and being able to show their business impact in numbers (conversion, approval rate, losses, revenue) * Strong data science fundamentals * Hands-on experience with A/B testing and experimentation design * Feature engineering on high-cardinality transactional data * A driver mindset: you can walk into a greenfield space, figure out what to build, propose it, and own it through delivery * Great communication skills and comfort working with a wide range of stakeholders Nice to have * Experience in fintech, payments, fraud, or risk * Real-time / low-latency ML serving * A master's or PhD in a quantitative discipline ## Description This is a foundational hire on ML/AI direction at Solidgate - you'll be one of the first engineers building the function from the ground up, working closely with the ML team to shape it. You'll help stand up the ML/AI direction from scratch - on top of 20M+ orders and 100M+ transactions a month. The next big step is a realtime ML payment routing. That's the space you'll be building in. Explore our technology stack ️ here. What you'll own * Design and build core ML models and pipelines as part of a true greenfield direction, not a maintenance handover * A real-time ML decisioning system with direct revenue impact * Hands-on experimentation - from idea, through A/B testing, to production * Integrations of cutting-edge AI technologies to drive innovation * Close partnership with Product, Engineering, and the Data Platform team (who will help with data and MLOps) to solve hard modelling problems and build orchestrated training and analytics pipelines * Clear communication of technical results to both engineers and cross-functional stakeholders