Staff Machine Learning Engineer

Why this role

Evolve's Data Product team builds data and machine-learning products that improve owner acquisition and retention, pricing, revenue performance, and how teams make decisions. We're hiring a Staff Machine Learning Engineer to own how those models get to production and stay there: the training and inference systems, the deployment and monitoring patterns, and the engineering standards the rest of the team builds on.

You'll be Evolve's first and most senior ML engineer. You'll turn working models into durable production systems: design feature and training pipelines, batch and online inference, deployment, monitoring, and retraining; integrate models into products and operating workflows; and measure adoption and business impact. You'll be a key decision-maker on ML infrastructure strategy, choosing what we build, what we buy, and what we standardize on. You'll partner with data scientists on the modeling itself, including forecasting, price-elasticity, and optimization work for pricing and revenue, and on LLM-based products.

This is a hands-on individual-contributor role for someone who wants to set technical direction, not just execute it. You'll define pragmatic engineering standards for a lean data science team, mentor engineers and data scientists, and partner closely with Product, Engineering, Data Engineering, Revenue Management, and business leaders. The mix of initiatives will shift with company priorities; end-to-end ownership and measurable business use will not. This role reports to Anto Kajajian.