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
501-1000 employees
Open for applications
$186.9-217.2k
+ Performance Bonus + Equity
More information about location
3+ days a week in office
501-1000 employees
Company mission
To elevate the best of machine learning and human thinking to optimize advertising for better outcomes.
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. Quantcast has remained focused on the development and launching of new leading AI-driven products since then. 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 HQ
Yerba Buena, San Francisco, CA
Leadership
Konrad Feldman
(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.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 13 more jobs at Quantcast