The Role
The Staff Machine Learning Engineer will design, develop, and optimize machine learning applications, mentor junior engineers, and conduct research to enhance Quantcast's ML systems.
Summary Generated by Built In
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.
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 novel and effective 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.
As a Sr 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 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.
What you'll do:
- 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.
- Keep up to date with developments in machine learning outside the company.
Who you are:
- M.S in Computer Science or related technical field with 5 - 8 years of industry experience or Ph.D. with 5+ years, or equivalent practical experience.
- You must be work-authorized in the United States without the need for current or future 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.
- Fluency in Python, Java, or similar object-oriented programming language.
- Proficiency with 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.
- Solid foundation in math, statistics, data visualization, and storytelling.
- Demonstrated analytical, planning, and social skills.
- Experience coaching and developing junior machine learning engineers.
The salary range for this position is $186,900 - $217,200
#LI-AC1
Quantcast operates in a hybrid work environment. The in office days are Tuesday, Wednesday, and Thursday.
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 Applicant Privacy Notice 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.
Top Skills
Java
Python
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The Company
What We Do
Quantcast is an advertising technology company and the creator of an innovative intelligent audience platform that empowers brands, agencies and publishers to know and grow their audiences online. Our solutions are leveling the playing field for our customers when it comes to effectively reaching audiences online and helping them power a thriving free and open internet for everyone.
Why Work With Us
Quantcast is committed to creating an inclusive and diverse environment where everyone can confidently be their authentic self. We value open minds and the exchange of diverse points of view. Each employee's unique experience, background, and perspective contributes to our culture and our ability to delight customers.
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