Publica by IAS, a leading Advertising Platform for Connected Television (CTV), is seeking a Senior Software Engineer specializing in Machine Learning to join their CTV product team. This role offers a unique opportunity to work on a platform that handles billions of requests per hour in the rapidly growing Ad Tech industry.
The position combines full-stack development with machine learning expertise, requiring proficiency in both Golang and Python. Engineers at Publica work across the entire technology stack, from frontend load balancers to data warehousing and ML solutions. The role involves deploying machine learning models into production environments, working with data preprocessing, and feature engineering.
The ideal candidate will have 4+ years of software/ML engineering experience and be fluent in Python and industry-recognized ML frameworks like scikit-learn, PyTorch, and TensorFlow. Experience with infrastructure and DevOps tools (Kubernetes, Terraform, AWS, Docker) is a plus. The position offers a competitive salary range of $145,000-$160,000 for California applicants.
Publica provides an excellent benefits package including unlimited PTO, comprehensive medical/dental/vision coverage, and 16 weeks of paid parental leave. The company culture emphasizes open communication, autonomy, and continuous learning. This hybrid position is based in San Francisco, offering a balance between remote and office work.
The role presents an opportunity to work on cutting-edge technology in the CTV space, contributing to a platform that powers the next generation of ad experiences on the big screen. The company's integration with various technologies and partners like LiveRamp, Transunion, and Cadent makes this an exciting position for someone looking to make a significant impact in the ad tech industry.
Working at Publica means joining a diverse and inclusive workplace that values equality and provides opportunities for professional growth. The position offers the chance to work with cross-functional teams, contribute to technical architecture discussions, and make immediate impacts on the product while continuing to learn and grow professionally.