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BranchLab

AI-driven healthcare ad targeting with privacy

Software Development Engineer

Backend EngineeringUpdated on Nov 13
Full-timeBoulder, CO, USA

About the Job

Requirements

  • Strong software development skills, particularly with Python.
  • Experience building backend applications, services, or APIs.
  • Familiarity with relational databases and SQL.
  • Familiarity with cloud platforms and cloud-native architectures, ideally AWS.
  • Experience with containerization and modern software development practices such as Docker, Git, automated testing, and CI/CD.
  • Understanding of distributed systems and data-processing concepts.
  • Ability to debug complex technical problems and learn unfamiliar technologies quickly.
  • A pragmatic problem-solving mindset with an emphasis on performance, security, maintainability, and simplicity.

Responsibilities

  • Build and maintain backend systems and APIs using Python.
  • Develop distributed data-processing workflows using technologies such as Spark and AWS EMR.
  • Build and maintain workflow pipelines using Apache Airflow.
  • Integrate machine learning models into production engineering pipelines.
  • Develop and operate containerized services using Docker and Kubernetes.
  • Contribute to infrastructure-as-code and CI/CD systems.
  • Write well-tested, maintainable production code.
  • Troubleshoot application, data, and infrastructure issues across distributed systems.
  • Help improve the reliability, scalability, security, and observability of the platform.
  • Collaborate with engineering, data science, and product teams to design and deliver new capabilities.

Desired Qualifications

  • Experience with Spark, Airflow, Athena, Redshift, PostgreSQL, or similar technologies.
  • Experience working with Kubernetes.
  • Familiarity with infrastructure-as-code tools such as CloudFormation or CDK.
  • Experience with large-scale datasets or data-processing systems.
  • Exposure to machine learning engineering or model deployment.
  • Experience with data modeling, query optimization, or performance tuning.
  • Familiarity with proprietary data lakes, Snowflake, or Databricks.
  • Exposure to healthcare, AdTech, or privacy-sensitive data systems.

About the Company

BranchLab

AI-driven healthcare ad targeting with privacy

BranchLab is a data science firm focused on healthcare advertising. It uses artificial intelligence and machine learning to build custom audience models that align with each client’s goals, enabling more precise targeting and better insights for campaigns. The core service helps healthcare brands, their agencies, and TV partners improve return on ad spend while staying compliant with privacy requirements. An ID-less approach keeps consumer health records unlinked from any user ID, prioritizing privacy. BranchLab’s offerings are tailored data solutions that enhance advertising effectiveness and protect personal information, with revenue coming from partnerships with healthcare brands and advertising agencies.

Company size
51-200
Company stage
Series A
Total funding
$26M
Headquarters
New York City, New York
Founded
2024

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