Job Description

Senior Software Engineer – Ad Platform Machine Learning

We’re looking for a Senior Software Engineer to join our Ad Platform Decisioning & Machine Learning Platform team. Our mission is to power the Company’s advertising ecosystem with advanced machine learning, AI-driven decisioning, and high-performance backend systems. We build end-to-end solutions that span machine learning, large-scale data processing, experimentation platforms, and microservices—all to improve ad relevance, performance, and efficiency.

If you’re passionate about ML technologies, backend engineering, and solving complex problems in a fast-moving environment, this is an exciting opportunity to make a direct impact on next-generation ad decisioning systems.

What You’ll Do

• Build next-generation experimentation platforms for ad decisioning and large-scale A/B testing
• Develop simulation platforms that apply state-of-the-art ML and optimization techniques to improve ad performance
• Design and implement scalable approaches for large-scale data analysis
• Work closely with researchers to productize cutting-edge ML innovations
• Architect distributed systems with a focus on performance, scalability, and flexibility
• Champion engineering best practices including CI/CD, design patterns, automated testing, and strong code quality
• Contribute to all phases of the software lifecycle—design, experimentation, implementation, and testing
• Partner with product managers, program managers, SDETs, and researchers in a collaborative and innovative environment

Basic Qualifications

• 4+ years of professional programming and software design experience (Java, Python, Scala, etc.)
• Experience building highly available, scalable microservices
• Strong understanding of system architecture and application design
• Knowledge of big data technologies and large-scale data processing
• Passion for understanding the ad business and driving innovation
• Enthusiastic about technology and comfortable working across disciplines

Preferred Qualifications

• Domain knowledge in digital advertising
• Familiarity with AI/ML technologies and common ML tech stacks
• Experience with big data and workflow tools such as Airflow or Databricks

Education

• Bachelor’s degree plus 5+ years of relevant industry experience

Role Scope

You’ll support ongoing initiatives across the ad platform, including building new experimentation and simulation systems used for online A/B testing. Media industry experience is not required.

Technical Environment

• Java & Spring Boot for backend microservices
• AWS as the primary cloud environment
• Python & Scala for data pipelines running on Spark and Airflow
• Candidates should be strong in either backend microservices or data pipeline development and open to learning the other
• API development experience is required

Interview Process

• Round 1: Technical & coding evaluation (1 hour)
• Round 2: Technical + behavioral interview (1 hour)
• Candidates are assessed on technical strength and eagerness to learn.

Job Tags

Similar Jobs