Applied AI / ML Engineer

The Role

Applied AI / ML Engineer to help design, implement, and scale advanced models that power Replica’s urban simulation and analytics products. This role is scoped at the Senior level or above : we expect candidates to operate at least at a Senior Engineer level, and for exceptional candidates, we are open to Staff or Principal-level.

You’ll sit at the intersection of research and engineering, translating applied methods into production-ready models that deliver meaningful insights about mobility, land use, and activity patterns across the US. Your work will focus on algorithms, modeling, and applied AI / ML techniques that improve Replica’s products and unlock new capabilities for customers.

Location : San Francisco, New York, Kansas City, or Remote (US)

Reports to : Director of Engineering

Works closely with : Product and Data Science teams and other engineers on the Data Production team

Collaborates with : Customer Success and Strategy teams to ensure models align with product needs and customer use cases

Responsibilities

• Design, prototype, and implement applied AI / ML models for mobility, activity, and behavioral modeling at scale.
• Drive improvements to core models for routing, mode choice, demand estimation, and geospatial forecasting — balancing research innovation with production readiness.
• Partner closely with Product and Data Science leadership to set technical direction for modeling initiatives, ensuring they align with customer and business needs.
• Evaluate new data sources (e.g., vendor-provided mobility data, traffic sensors, geospatial layers) for quality, coverage, and fitness-for-use in Replica’s models.
• Develop new algorithms to fuse Replica’s proprietary data with external sources (e.g., traffic sensors, land use, census, streaming data).
• Evaluate model performance, define success metrics, and iterate quickly to improve accuracy, robustness, and fairness.
• Collaborate with data production engineers to transition prototypes into robust, production-quality systems used nationwide.
• Contribute to modeling frameworks and shared libraries, mentoring peers and raising the technical bar across the team.
• Stay current with advances in machine learning, optimization, and geospatial modeling, applying them pragmatically to Replica’s challenges.

Minimum Qualifications

What We Value

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Benefits

Compensation

Replica is an Equal Opportunity Employer

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