Senior Machine Learning Engineering Manager

Quantcast

  • London
  • Permanent
  • Full-time
  • 1 month ago
At Quantcast, we're redefining what's possible in digital advertising. As a global Demand Side Platform (DSP) powered by AI, we help marketers connect with the right audiences and deliver measurable results across the Open Web. Our foundation is built on cutting-edge measurement and consumer analytics, giving our clients the tools they need to drive success in an ever-evolving digital landscape.Since our start in 2006, we've pioneered industry firsts-from launching the original measurement platform for digital publishers to introducing the first AI-driven DSP. If you're ready to be part of a dynamic, forward-thinking team that thrives on creating transformative solutions, Quantcast is the perfect place to grow your career.We're currently hiring for a Senior Machine Learning Engineering Manager to lead our Modeling team based in London.As a Senior Machine Learning Engineering Manager, you will lead and develop a team of Machine Learning Engineers to execute the engineering vision and roadmap for Quantcast's core modeling capabilities based in London. The team is responsible for designing, developing, and refining sophisticated models for our Audience Graph, forecasting, and fraud detection, among others.What you'll do:
  • Assisting the team through the entire model lifecycle, from ideation and experimentation to robust deployment and ongoing optimization.
  • Ensuring models are statistically sound, performant, and deliver measurable business value.
  • Serving as a key scientific leader and partner to Product Management, Engineering and Commercial teams by educating others on what your team can build, and prioritizing support that your team needs.
  • Driving strategic research, experimentation, and the integration of cutting-edge methodologies into our platform.
  • Championing growth, providing continuous feedback, and fairly allocating research and development opportunities to maximize individual talent and team potential.
Who you are:
  • You bring minimum 8 - 10 years of experience in Applied Science, Data Science, or Machine Learning, with a strong focus on model development and research, including minimum of 5 years in a leadership role managing Machine Learning Engineers or Applied Scientists.
  • Your deep expertise lies in designing, developing, and deploying complex machine learning models in a production environment, ideally within ad tech, or a similar high-volume, data-intensive domain.
  • You possess a strong theoretical and practical understanding of ML algorithms, statistical modeling and experimental design.
  • You demonstrate exceptional leadership, communication, and interpersonal skills, with a proven ability to inspire, influence and align senior stakeholders across scientific, engineering and business functions.
  • You are highly proficient in programming languages common to data science (e.g. Python, R, Scala) and have experience with large scale data processing (e.g. Spark).
  • A Master's degree or PhD in Computer Science, Machine Learning, Statistics, or related quantitative field is required.
#LI-SK1At Quantcast, we craft offers that reflect your unique skills, expertise, and geographic location. On top of a competitive salary, this position includes eligibility for a performance bonus, equity, and a comprehensive benefits package. Depending on your location, this may include generous vacation, medical, dental, and vision coverage, and retirement plans. For more details, visit our Careers page and see how we support our team. Please see the for details on our applicant privacy policy.Founded in 2006 and headquartered in San Francisco, we are a diverse, aligned community with offices across 10 countries worldwide. Join the team that unlocks potential.Quantcast is an Equal Opportunity Employer.

Quantcast