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Senior ML Engineer - Search Relevance & Ads OptimizationZipRecruiter • California, United States
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Senior ML Engineer - Search Relevance & Ads Optimization

ZipRecruiter
  • +3
  • +4
  • US
    California, United States
  • +3
  • +4
  • US
    California, United States
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À propos

Company Overview We are a global tech leader focused on pushing the boundaries of search engine monetization across various platforms. Our team is dedicated to leveraging state-of-the-art machine learning technologies to optimize advertising solutions and drive innovation in search monetization. With a mission to expand our footprint in the digital advertising space, we are looking for a highly skilled Senior Machine Learning Engineer to join our team and contribute to the growth of our U.S. Search Ads business. Job Description As a Senior Machine Learning Engineer on our Search Ads team, you will play a critical role in the development and scaling of a large-scale ad platform. You will be responsible for creating, optimizing, and implementing machine learning models to enhance ad personalization, ranking, and relevance. This role offers a unique opportunity to make a direct impact on the growth and success of our search monetization initiatives. Key Responsibilities Participate in the
design and development
of a large-scale
search ads system . Optimize
relevance models
and strategies using techniques like
semantic matching, active learning , and
multi-modal models . Develop and iterate on
ad algorithms
to improve ad targeting, personalization, and user engagement. Enhance
NLP capabilities
for better query understanding, including
query classification, seq2seq models, NER (Named Entity Recognition) , and
knowledge graph optimization . Work on
CTR (Click-Through Rate)
and
CVR (Conversion Rate)
model accuracy, focusing on data analysis, modeling, and feature engineering. Conduct research and development on
ad pacing algorithms
and traffic control to optimize ad performance. Collaborate with product managers and cross-functional teams to define product strategies and features. Qualifications & Skills Bachelor’s degree
in Computer Science, Computer Engineering, or a related field. 5+ years of experience
in search, ads, recommendation systems, monetization, or related domains. Proficiency in
programming
such as
Python, Go, or C/C++ . Strong expertise in
Machine Learning, Deep Learning, NLP , and
ranking/recommendation systems . Demonstrated ability to
analyze data , create predictive models, and optimize performance metrics. Excellent
problem-solving skills
with the ability to think critically and formulate solutions in a clear, concise manner. Proven track record of working in
fast-paced, cross-functional environments , preferably in Tier 1 or Tier 2 tech companies. Strong communication and collaboration skills, with the ability to work effectively in a
cross-cultural
team setting. Bilingual proficiency in Chinese and English is a plus, but not required. Job Type : Full-time Location : San Jose, CA, United States
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Compétences idéales

  • Deep Learning
  • Go
  • Machine Learning
  • Python
  • California, United States

Expérience professionnelle

  • Machine Learning
  • NLP
  • Search

Compétences linguistiques

  • English
Avis aux utilisateurs

Cette offre a été publiée par l’un de nos partenaires. Vous pouvez consulter l’offre originale ici.

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