Overview

Replica is an enterprise data platform that delivers critical insights about the built environment. With better data, human-context and an intuitive design, Replica helps public and private sectors make informed, effective, and responsive decisions. By showing how people live, move and work, we contextualize hard choices, allowing our clients to see around corners and understand the trade-offs surrounding their decisions. Whether for a city planner increasing public transit to underserved neighborhoods or for a grocery chain evaluating where to open a new location, Replica’s insights lets clients make more informed, people-centered decisions.

We spun out of Alphabet in 2019 when we secured series A funding from venture firms such as Innovation Endeavors, Firebrand Ventures, and Revolution’s Rise of the Rest Seed Fund. Today, we are a team of ~30 employees with offices in San Francisco, CA and Overland Park, KS.

We value our customers, believe in being resourceful, and work in service of each other to scale our product. As we build our team, we are committed to pursuing and bringing together a diverse workforce and creating an environment of inclusion. We value our differences and we encourage all to apply. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, Veteran status, or any other status protected by the laws or regulations in the locations where we operate.

The Team

The engineering team currently spans the heavy lifting of machine learning modeling with data pipeline processing to the application code/web client and the infrastructure required to deploy it to our customers. Most of the engineering team is based in San Francisco, but we work with cross-functional teams in Kansas City and New York and customers across North America.

The Role

We’re looking for a Machine Learning Engineer with experience delivering algorithms and implementing end-to-end data processing pipelines. You will be a part of the team responsible for developing production-grade machine learning models that capture behavioral choices of city dwellers in a privacy-preserving way. You will be training artificial agents to respond to changing travel conditions, new urban infrastructure, and updated public policies in city-wide simulations.

  • Write production-level code to convert your ML models into working pipelines.
  • Work on complex, heterogeneous datasets and complex systems, backend services, and product integration.
  • Design and implement cloud scale distributed data-focused Data Platform, services and frameworks including solutions to address high-volume and complex data collection, processing, transformation and reporting for analytical purposes.
  • Be a hands-on engineer; ensure software built is well designed, high quality that delights customers.
  • Demonstrate technical excellence resulting in scalable, reliable, performant, and maintainable services.
  • Design, build, train and test models for high-fidelity representations of human activity and mobility.
  • Technologies: BigQuery, Kubernetes, Dask, Prefect, Clickhouse.

Minimum Qualifications

  • At least 5 years of hands-on experience in architecture, design or development of enterprise data solutions, applications, and integrations.
  • Know your data science. Have a strong hands-on knowledge of machine learning algorithms, both deep and shallow. Have a strong interest or prior experience in reinforcement learning, multi-agent systems and modern AI.
  • Proven ability to quickly and effectively turn research ML papers into working code
  • Strong collaboration and communication skills.
  • Leadership known to deliver in high growth and highly dynamic environments.
  • Excellent oral and written communication with various stakeholders and teammates.
  • Architecture design and development experience on SaaS software.
  • Familiarity with transportation systems and transportation modeling is a bonus.

What We Value

  • Empathy. You are curious and eager to learn more about our users and understand their needs.
  • Balance. You weigh speed and quality carefully and understand the tradeoffs.
  • A collaborative approach to problem solving. You’ve worked with cross functional teams before and you enjoy the process.
  • Active participation. You jump in and actively engage with the team and customers to build products people use.
  • Ability to navigate ambiguity. Things get blurry, but you persevere to find clarity and communicate effectively with your teammates to ensure clarity for all.
  • Passion. You are driven to improve the quality of life in urban environments.

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 HSA option.
  • 401k account + employer contribution.
  • Offices in San Francisco, CA and Overland Park, KS.
  • Flexible PTO.

If you don’t think you meet all of the criteria above, but still are interested in the job, please apply. Nobody checks every box, and we’re looking for someone excited to join the team.