<div><span>At Quantcast, were redefining whats 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.</span></div><div><br /></div><div><span>Since our start in 2006, weve pioneered industry firsts—from launching the original measurement platform for digital publishers to introducing the first AI-driven DSP. If youre 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.</span></div><div><br /></div><div><span>The Modeling team is responsible for Machine Learning (ML) systems at Quantcast. We build and maintain multiple ML products that price millions of bid requests per second in a real-time auction environment to maximize advertiser outcomes. For each bid our models predict age, gender, viewability, fraud, advertiser relevance and many more characteristics. We are developing groundbreaking platforms and algorithms to combine our vast first-party dataset with third-party data to provide the highest quality demographic and behavioral analysis of digital audiences on the market.</span></div><div><br /></div><div><span>As a Staff Machine Learning Engineer, you will use our large datasets, computational power, and analytic tools to build high quality and diverse products to support Quantcast’s position as a world-class leader in advertising. You will help lead our efforts in crafting, implementing, and operating large-scale machine learning systems in a production environment. You care about the health and maintainability of our systems and the velocity of the engineering teams. You explore data, research new algorithms, experiment with proof of concepts, and build out scalable real-time production systems to tackle challenges the company faces.</span></div><h3>What youll do:</h3><ul><li>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.</li><li>Prototype solutions, conduct data analyses to tackle large-scale inference problems, and run ML experiments to test new modeling ideas.</li><li>Write clean, efficient, and maintainable code using industry best practices.</li><li>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.</li><li>Identify performance bottlenecks and optimize system components for enhanced scalability.</li><li>Mentor machine learning engineers to grow their careers and improve their skills, including participating in code reviews and providing constructive feedback to team members.</li><li>Generate and review proposals for further research and development directions.</li><li>Keep up to date with developments in machine learning outside the company.</li></ul><h3>Who you are:</h3><ul><li>M.S in Computer Science or related technical field with 8+ years of industry experience or Ph.D. with 5+ years</li><li>You must be work-authorized in the United States without the need for employer sponsorship.</li><li>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.</li><li>Fluency in Python, Java, or similar object-oriented programming language</li><li>Strong knowledge of ML algorithms such as classification, control systems, optimization, clustering, LLMs, or recommendation systems</li><li>An interest in distributed system and software design, concurrent algorithms, data structures, and software engineering</li><li>Strong skills in math, statistics, data visualization, and storytelling</li><li>Strong analytical, planning, and social skills</li><li>Experience coaching and developing junior machine learning engineers</li></ul><div><span>The salary range for this position is $220,200  - $255,900 </span></div><div><br /></div><div><span>#LI-AC1</span></div><div><br /></div><div><span>At 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 <a href="https://legal.quantcast.com/#applicant-privacy-notice">Applicant Privacy Notice</a> for details on our applicant privacy policy. </span></div><div><br /></div><div><span>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. </span></div><div><br /></div><div><span>Quantcast is an Equal Opportunity Employer.</span></div><div><br /></div>

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