Quantcast is redefining digital advertising with its AI-powered Demand Side Platform (DSP). The Modeling team is responsible for building and maintaining ML systems that predict various characteristics of users in real-time to maximize advertiser outcomes and provide high-quality demographic and behavioral analysis of digital audiences.
Requirements
- Fluency in Python, Java, or similar object-oriented programming language
- Strong knowledge of ML algorithms such as classification, control systems, optimization, clustering, LLMs, or recommendation systems
- An interest in distributed system and software design, concurrent algorithms, data structures, and software engineering
- Strong skills in math, statistics, data visualization, and storytelling
Responsibilities
- Design, code, test, and debug ML applications and constantly improve large-scale global systems that respond to millions of real-time requests per second efficiently.
- Prototype solutions, conduct data analyses to tackle large-scale inference problems, and run ML experiments to test new modeling ideas.
- Write clean, efficient, and maintainable code using industry best practices.
- Work multi-functionally with other teams to develop standard methodologies in model building and validation, and collaborate closely with engineering teams to deliver high-quality ML products.
- Identify performance bottlenecks and optimize system components for enhanced scalability.
- Mentor machine learning engineers to grow their careers and improve their skills, including participating in code reviews and providing constructive feedback to team members.
- Generate and review proposals for further research and development directions.
Other
- M.S in Computer Science or related technical field with 8+ years of industry experience or Ph.D. with 5+ years
- You must be work-authorized in the United States without the need for employer sponsorship.
- This is a hybrid role based in our San Francisco office. To ensure a manageable commute for in-office days, candidates must reside within a 60-mile radius of San Francisco, CA. No relocation candidates at this time.
- Strong analytical, planning, and social skills
- Experience coaching and developing junior machine learning engineers
