ZipRecruiter
Tech Lead Senior Machine Learning Engineer - Branding Ads
ZipRecruiter, San Jose, California, United States, 95199
Job DescriptionJob Description
We’re looking for an experienced engineer to help build innovative monetization products that drive both user engagement and revenue across our platforms. As part of our dynamic team, you'll play a key role in developing and optimizing large-scale ad systems, leveraging cutting-edge machine learning, natural processing (NLP), and computer vision (CV) technologies to enhance content understanding, ad targeting, and taxonomy.
In this fast-paced, rapidly growing environment, your contributions will have a direct impact on the evolution of our ad products, helping shape the future of digital advertising with speed, precision, and quality.
What You'll Do:
Build Monetization Products:
Design and implement innovative ad products that drive revenue and enhance user engagement across platforms.
Develop Large-Scale Ad Systems:
Work on the architecture and development of high-performance, scalable ad systems that power millions of transactions daily.
Machine Learning & Algorithm Development:
Contribute to the iteration of ad algorithms, applying machine learning techniques to improve ad targeting, relevance, and performance.
NLP & CV Technologies:
Use natural processing and computer vision to improve content understanding, develop semantic taxonomy, and enhance ad relevance through advanced techniques like text analysis, image recognition, and automated content classification.
Support Organizational Growth:
Help accelerate the success of a rapidly growing organization by contributing high-quality code and delivering projects with speed and precision.
Qualifications:
Educational Background:
BS in Computer Science, Computer Engineering, or a related field, with 7+ years of relevant work experience.
Programming Expertise:
Strong programming, debugging, and optimization skills in one or more of the following : Go, C/C++, Python.
Problem Solving & Critical Thinking:
Ability to break down complex problems and formulate effective, clear solutions.
Experience with Machine Learning & Data Systems:
Proven experience with machine learning, data mining, data analysis, and distributed systems.
Ad Systems Knowledge:
Solid understanding of key ad-related domains, including brand ads, content ads, auction systems, bidding algorithms, ranking, and ad forecasting.
Specialized Skills:
Experience with machine learning, deep learning, NLP, ranking systems, recommendation algorithms, large-scale systems, or data science.
Product Sense:
Strong product intuition with experience designing and implementing features that solve real-world user problems.
Why You Should Apply:
Impact:
Your work will have a direct impact on the growth of our ad systems and monetization efforts.
Innovation:
Be part of an innovative team pushing the boundaries of machine learning, NLP, and computer vision in digital advertising.
Collaboration:
Work alongside talented engineers, data scientists, and product managers in a fast-paced, cross-functional environment.
Career Growth:
Join a rapidly evolving organization where you can make a difference while growing professionally.
We’re looking for an experienced engineer to help build innovative monetization products that drive both user engagement and revenue across our platforms. As part of our dynamic team, you'll play a key role in developing and optimizing large-scale ad systems, leveraging cutting-edge machine learning, natural processing (NLP), and computer vision (CV) technologies to enhance content understanding, ad targeting, and taxonomy.
In this fast-paced, rapidly growing environment, your contributions will have a direct impact on the evolution of our ad products, helping shape the future of digital advertising with speed, precision, and quality.
What You'll Do:
Build Monetization Products:
Design and implement innovative ad products that drive revenue and enhance user engagement across platforms.
Develop Large-Scale Ad Systems:
Work on the architecture and development of high-performance, scalable ad systems that power millions of transactions daily.
Machine Learning & Algorithm Development:
Contribute to the iteration of ad algorithms, applying machine learning techniques to improve ad targeting, relevance, and performance.
NLP & CV Technologies:
Use natural processing and computer vision to improve content understanding, develop semantic taxonomy, and enhance ad relevance through advanced techniques like text analysis, image recognition, and automated content classification.
Support Organizational Growth:
Help accelerate the success of a rapidly growing organization by contributing high-quality code and delivering projects with speed and precision.
Qualifications:
Educational Background:
BS in Computer Science, Computer Engineering, or a related field, with 7+ years of relevant work experience.
Programming Expertise:
Strong programming, debugging, and optimization skills in one or more of the following : Go, C/C++, Python.
Problem Solving & Critical Thinking:
Ability to break down complex problems and formulate effective, clear solutions.
Experience with Machine Learning & Data Systems:
Proven experience with machine learning, data mining, data analysis, and distributed systems.
Ad Systems Knowledge:
Solid understanding of key ad-related domains, including brand ads, content ads, auction systems, bidding algorithms, ranking, and ad forecasting.
Specialized Skills:
Experience with machine learning, deep learning, NLP, ranking systems, recommendation algorithms, large-scale systems, or data science.
Product Sense:
Strong product intuition with experience designing and implementing features that solve real-world user problems.
Why You Should Apply:
Impact:
Your work will have a direct impact on the growth of our ad systems and monetization efforts.
Innovation:
Be part of an innovative team pushing the boundaries of machine learning, NLP, and computer vision in digital advertising.
Collaboration:
Work alongside talented engineers, data scientists, and product managers in a fast-paced, cross-functional environment.
Career Growth:
Join a rapidly evolving organization where you can make a difference while growing professionally.