[Hiring] Staff Machine Learning Engineer @Evolve

Role Description

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 hands-on Staff Machine Learning Engineer with applied data science depth to build and own the highest-impact ML systems across that portfolio.

You'll turn ambiguous opportunities into durable production systems:

• Frame the problem and success measures.
• Develop and validate models.
• Build the pipelines and inference patterns needed to run them.
• Integrate them into products or workflows.
• Measure adoption and business impact.

You'll also contribute directly to our economic and pricing work, including:

• Forecasting.
• Demand and price-elasticity estimation.
• Causal measurement.
• Optimization.

This is an individual-contributor role for someone who enjoys both modeling and systems work. You'll set technical direction and pragmatic engineering standards for a lean data science team, mentor other contributors, and partner closely with Product, Engineering, Data Engineering, Revenue Management, and business leaders.

The exact mix of initiatives will shift with company priorities, but end-to-end ownership and measurable business use will remain constant. This role reports to the head of Data Product.

Qualifications

• Typically 8+ years applying machine learning, data science, statistics, or econometrics to consequential business problems.
• Evidence of Staff-level scope: you have led ambiguous, cross-functional ML or DS work from idea through sustained production use.
• Influenced technical direction across multiple teams or at least 2–3 significant projects.
• Created durable technical leverage for other contributors.
• Expert-level Python and SQL skills.
• Expert-level applied modeling and model-evaluation judgment.
• Experience owning production ML systems end to end.
• Hands-on experience with modern data and ML infrastructure.
• Strong applied-statistics judgment.
• Comfortable working in Git-based development environments.
• Ability to connect technical decisions to business outcomes.
• A self-directed, collaborative working style.

Requirements

• An advanced degree in a quantitative field, or equivalent depth demonstrated through applied work.
• Experience in demand forecasting, dynamic pricing, revenue management, price-elasticity estimation, econometrics, causal inference, or optimization.
• Experience in marketplace, travel, hospitality, or another domain where models influence high-frequency operating decisions.
• Experience with NLP, LLM, voice, or other unstructured-data products.

Benefits

• Industry-competitive pay, equity in the company, and a 401(k) with a 4% immediate vesting match.
• 16-18 weeks of paid parental leave for birthing parents and 10 weeks for non-birthing parents, plus infertility coverage.
• Comprehensive medical, dental, and vision plans, with 100% employer-paid dental and vision for individual coverage.
• Low-cost medical option, 10 free mental health visits, and pet insurance.
• Generous PTO, RTO (for full-time exempt employees), sick leave, holidays, and a personal holiday.
• Annual Evolve travel credit after one year and discounts on stays at all Evolve properties.
• World-class onboarding programs, learning, and development resources.
• Employee Resource Groups celebrating our diverse communities at Evolve.