ZipRecruiter
02. Senior Machine Learning Engineer, Search Ads - US
ZipRecruiter, San Jose, California, United States, 95199
Job DescriptionJob Description
About the Role: We are hiring a
Senior Machine Learning Engineer
to join a company that is reshaping the future of search and digital advertising. The
Search Ads team
focuses on building world-class search monetization systems for a globally leading digital platform. As part of the team, you will work on
machine learning models
for
ads relevance ,
NLP
for query understanding, and optimizing ad delivery at scale.
What You'll Do:
Develop
ads relevance models
and
ranking algorithms
for search ads optimization.
Implement
NLP
technologies for query understanding, including
semantic matching
and
bidword optimization .
Work on enhancing
CTR/CVR
model accuracy through data analysis and feature engineering.
Optimize
ads pacing algorithms
and control traffic for improved ad performance.
Collaborate with product teams to define ad features and strategies.
Why This Company? As one of the most influential digital platforms globally, the company has a huge user base and is continuously expanding its
advertising solutions . You’ll have the opportunity to shape the
search ads product
from the ground up, working on one of the company’s most strategic and growing areas. With a focus on
cutting-edge technology , this is an ideal opportunity to be part of a team that is scaling
search monetization
to new heights.
Qualifications:
5+ years of experience in
Machine Learning ,
Search Ads , or related fields.
Expertise in
NLP ,
Deep Learning ,
Ranking systems , or
Recommendation systems .
Experience with
search ads technologies , including
ad relevance models
and
monetization products .
Proficiency in
Python ,
C++ , or
Go .
BS
or
MS
in
Computer Science ,
Engineering , or related fields.
Why Work Here?
Industry Leader : The company is a global leader in
short-form mobile video , offering a platform with massive engagement across millions of users worldwide.
Innovation : A culture built on
creativity ,
growth , and
innovation , where engineers have the opportunity to work on cutting-edge technologies in
ads ,
machine learning ,
NLP ,
ranking , and more.
Career Growth : With a focus on
personal development , the company provides a dynamic, fast-paced environment where you can grow as both an engineer and a leader.
Work-Life Balance : Known for a
casual work culture , the company fosters a
9-to-5 , relaxed yet highly productive work environment, where individual autonomy is encouraged.
Compensation : Competitive salaries with additional benefits including
bonuses ,
RSUs , and potential
sign-on bonuses , making it a highly rewarding place to work.
Hiring Notes for All Positions:
Location:
Open to U.S.-based candidates in
San Jose ,
Seattle , or
Los Angeles .
Monthly Salary Range: 16-29K USD
About the Role: We are hiring a
Senior Machine Learning Engineer
to join a company that is reshaping the future of search and digital advertising. The
Search Ads team
focuses on building world-class search monetization systems for a globally leading digital platform. As part of the team, you will work on
machine learning models
for
ads relevance ,
NLP
for query understanding, and optimizing ad delivery at scale.
What You'll Do:
Develop
ads relevance models
and
ranking algorithms
for search ads optimization.
Implement
NLP
technologies for query understanding, including
semantic matching
and
bidword optimization .
Work on enhancing
CTR/CVR
model accuracy through data analysis and feature engineering.
Optimize
ads pacing algorithms
and control traffic for improved ad performance.
Collaborate with product teams to define ad features and strategies.
Why This Company? As one of the most influential digital platforms globally, the company has a huge user base and is continuously expanding its
advertising solutions . You’ll have the opportunity to shape the
search ads product
from the ground up, working on one of the company’s most strategic and growing areas. With a focus on
cutting-edge technology , this is an ideal opportunity to be part of a team that is scaling
search monetization
to new heights.
Qualifications:
5+ years of experience in
Machine Learning ,
Search Ads , or related fields.
Expertise in
NLP ,
Deep Learning ,
Ranking systems , or
Recommendation systems .
Experience with
search ads technologies , including
ad relevance models
and
monetization products .
Proficiency in
Python ,
C++ , or
Go .
BS
or
MS
in
Computer Science ,
Engineering , or related fields.
Why Work Here?
Industry Leader : The company is a global leader in
short-form mobile video , offering a platform with massive engagement across millions of users worldwide.
Innovation : A culture built on
creativity ,
growth , and
innovation , where engineers have the opportunity to work on cutting-edge technologies in
ads ,
machine learning ,
NLP ,
ranking , and more.
Career Growth : With a focus on
personal development , the company provides a dynamic, fast-paced environment where you can grow as both an engineer and a leader.
Work-Life Balance : Known for a
casual work culture , the company fosters a
9-to-5 , relaxed yet highly productive work environment, where individual autonomy is encouraged.
Compensation : Competitive salaries with additional benefits including
bonuses ,
RSUs , and potential
sign-on bonuses , making it a highly rewarding place to work.
Hiring Notes for All Positions:
Location:
Open to U.S.-based candidates in
San Jose ,
Seattle , or
Los Angeles .
Monthly Salary Range: 16-29K USD