Remote Software engineering Jobs · Spark

• Define and drive multi-year technical strategy for machine learning across Affirm.
• Lead the design, implementation, and scaling of advanced ML systems.
• Provide technical leadership across the ML organization, mentoring senior engineers.

• Design and deploy complex ML systems to improve ad performance.
• Collaborate with global teams to refine algorithms for ad targeting and relevance.
• Apply cutting-edge ML approaches to enhance ad performance and optimize revenue.

• Focus on building new features for the REST API and data processing engine using Typescript and Python/Spark and deployed on AWS. In this role, you'll contribute to improving the performance and scalability of our platform. Some of the duties include:
• Mentor junior team developers and perform code reviews.
• Automate deployments and CI/CD pipelines.
• Work effectively in cross-functional teams.

Looking for a talented Machine Learning Engineer to join a fast-growing, data-driven team focused on building scalable ML platforms and solutions. In this role, you will collaborate closely with data scientists and engineers to accelerate model development, deployment, and performance analysis. You will design internal tools and frameworks to improve efficiency and integrate cutting-edge ML technologies into production systems.

Ads Targeting ML engineers design and implement ML systems and solutions for improving targeting products. As a staff machine learning engineer in the ads targeting quality team, you will own and execute our mission to automate targeting and deliver the most relevant audiences to advertisers under the right context with ML-driven solutions.

Build new features for the REST API and data processing engine using Typescript and Python/Spark, deployed on AWS. Work alongside senior developers, architects, and QA team to implement new features and enhancements. Mentor junior team developers and perform code reviews to ensure a high-quality codebase.

Join Blueprint as an Enterprise Senior Software Engineer, where you'll lead complex software development projects with a focus on C#, Python, and Pyspark. Collaborate with a cross-functional team, develop enterprise-level applications, and demonstrate critical thinking to solve complex problems. Work with Azure DevOps, Git, and CI/CD pipelines while contributing to team practices such as SCRUM.