Buscojobs
Search Ads Machine Learning Engineer
Buscojobs, California, Missouri, United States, 65018
We are a
Tier 1 social media company
pushing the boundaries of search engine monetization across multiple apps. Job Description As part of our
Search Ads team , you will have the rare opportunity to work on a
large-scale, global search ads platform
from the ground up, contributing to the
development, optimization, and innovation
of our ad systems. This role is for those who are passionate about solving complex technical challenges and scaling products in a rapidly evolving space. Key Responsibilities Develop large-scale ad systems
that handle billions of user interactions. Optimize
relevance models and ranking strategies
using advanced machine learning techniques, including
semantic matching, multi-modal learning , and
active learning . Drive innovation in
Ads algorithms
to enhance personalization and user engagement. Enhance our
NLP capabilities
(e.g., query classification, seq2seq models, Named Entity Recognition, and knowledge graphs) to improve query understanding and ad targeting. Work on
CTR/CVR model optimization , focusing on feature engineering, data analysis, and predictive modeling. Research and develop
ads pacing algorithms
and traffic control strategies to maximize ad performance. Collaborate with product managers and cross-functional teams to define and refine product strategies and features. Qualifications & Skills Bachelor's degree
in Computer Science, Computer Engineering, or a related field. 5+ years of experience
in one or more domains such as
Search, Ads, Recommendation Systems, Monetization , or
Shopping Products . Proficient in
programming languages
like
Python, Go, or C/C++ . Strong experience with
Machine Learning, Deep Learning, NLP , and
ranking/recommendation systems . Proven track record of
working with Tier 1 or Tier 2 tech companies
is highly preferred.
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Tier 1 social media company
pushing the boundaries of search engine monetization across multiple apps. Job Description As part of our
Search Ads team , you will have the rare opportunity to work on a
large-scale, global search ads platform
from the ground up, contributing to the
development, optimization, and innovation
of our ad systems. This role is for those who are passionate about solving complex technical challenges and scaling products in a rapidly evolving space. Key Responsibilities Develop large-scale ad systems
that handle billions of user interactions. Optimize
relevance models and ranking strategies
using advanced machine learning techniques, including
semantic matching, multi-modal learning , and
active learning . Drive innovation in
Ads algorithms
to enhance personalization and user engagement. Enhance our
NLP capabilities
(e.g., query classification, seq2seq models, Named Entity Recognition, and knowledge graphs) to improve query understanding and ad targeting. Work on
CTR/CVR model optimization , focusing on feature engineering, data analysis, and predictive modeling. Research and develop
ads pacing algorithms
and traffic control strategies to maximize ad performance. Collaborate with product managers and cross-functional teams to define and refine product strategies and features. Qualifications & Skills Bachelor's degree
in Computer Science, Computer Engineering, or a related field. 5+ years of experience
in one or more domains such as
Search, Ads, Recommendation Systems, Monetization , or
Shopping Products . Proficient in
programming languages
like
Python, Go, or C/C++ . Strong experience with
Machine Learning, Deep Learning, NLP , and
ranking/recommendation systems . Proven track record of
working with Tier 1 or Tier 2 tech companies
is highly preferred.
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