Senior Machine Learning Engineer, Quantcast
$186.9-217.2k
+ Performance Bonus + Equity
More information about location
3+ days a week in office
Audience insights & real-time advertising
Open for applications
Audience insights & real-time advertising
201-500 employees
Open for applications
$186.9-217.2k
+ Performance Bonus + Equity
More information about location
3+ days a week in office
201-500 employees
Company mission
To radically simplify open internet advertising.
Role
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
What the job involves
- 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
- 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
- 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
Our take
Third-party cookies are on the out following Google’s announcement they will no longer be allowed on Chrome. This has dealt a blow to advertisers, who are now looking for alternative ways of targeting potential customers. Quantcast is one of the companies offering a promising alternative, using AI-driven technology to facilitate advertising based on internet traffic.
This has given Quantcast a new and unexpected injection of interest. Moreover, this long run-up has given them time to develop a product with unparalleled data accuracy and a rich raft of features that puts it head-to-head with Google Analytics.
They are also ahead of the pack in adopting a privacy-first approach, including the appointment of new Chief Privacy Officer Min-Jae Lee. With privacy regulations currently disjointed but developing fast, this appointment will help Quantcast stay a leading and trusted organization in the field.
The company was boosted by an acquisition in 2023 from mobile-first tech giant InMobi. Since then, the company has remained focused on the development and launch of new leading AI-driven products. If Quantcast can continue to deliver innovative capabilities, and inspire client confidence with its regulatory compliance, it is well insulated against the sector-wide changes anticipated over the years ahead.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-20% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Nov 2011
$8m
SERIES C
Jan 2010
$31.6m
SERIES C
Total funding: $65.3m
Company benefits
- Comprehensive healthcare benefits
- Generous vacation & time off policies
- Hybrid working from anywhere weeks (WFA)
- Mobile phone benefits
- Group life insurance & income protection
- Retirement savings plans
- Mental wellbeing support program
- Wellbeing program including resources and events
- Learning + development opportunities
- Referral bonus program
- Stock/share option grants
- Catered lunches & stocked kitchens
- Commuter benefits
- Employee discounts platform
- Employee discounts platform
- Parental benefits
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Konrad Feldman
(Co-Founder & CEO)Prior to co-founding Quantcast, Feldman co-founded Searchspace (now Fortent). Prior to Searchspace, Feldman was a Research Fellow in the Intelligent Systems Laboratory at University College London.
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