Replica · 4 months ago
Applied AI/ML Engineer
Replica Inc. provides data about the built environment and helps public and private sectors make informed decisions. They are seeking a Senior Applied AI/ML Engineer to design, implement, and scale advanced models for urban simulation and analytics products, focusing on algorithms and applied AI/ML techniques.
AnalyticsComputerSoftwareTransportation
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
Qualification
Required
Bachelor's degree in Computer Science, Applied Mathematics, Engineering, or related field; advanced degree (MS/PhD) preferred
4+ years of professional experience in applied ML/AI, research engineering, or related roles
Strong Python skills with experience in ML libraries (PyTorch, TensorFlow, scikit-learn) and numerical computing (numpy, pandas, scipy)
Experience designing, training, and deploying AI/ML models in production
Hands-on experience with large-scale data sets, especially geospatial or time-series data
Familiarity with distributed computation frameworks (Dask, Spark, Ray) and cloud environments (GCP preferred)
Proven ability to communicate technical decisions and tradeoffs clearly to both technical and non-technical stakeholders
Benefits
Our people! We work as a team and are excited to contribute to city planning
Competitive salary based on experience and potential for impact
Equity at an early stage startup
Health benefits including medical, dental, vision, and FSA options
401k account + employer safe harbor contribution
Flexible PTO
Company
Replica
Replica is an enterprise data platform that delivers critical insights about the built environment.
Funding
Current Stage
Growth StageTotal Funding
$52MKey Investors
Founders FundInnovation Endeavors
2021-04-21Series B· $41M
2019-09-12Series A· $11M
2019-02-04Pre Seed
Recent News
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