ZipRecruiter
04. Senior Machine Learning Engineer, Brand Ads -US
ZipRecruiter, San Jose, California, United States, 95199
Job DescriptionJob Description
About the Role: We are seeking a
Senior Machine Learning Engineer
to join a global leader in short-form mobile video and digital advertising. The
Brand Ads team
is integral to the company’s revenue , building sophisticated ad products and systems to drive engagement for brands and advertisers. You’ll be working with cutting-edge technologies like
machine learning ,
NLP , and
ranking algorithms , in a dynamic, collaborative environment.
What You'll Do:
Develop and optimize
forecasting models
to improve ad spend efficiency.
Design and implement
machine learning algorithms
for
ad optimization , including ranking and personalization.
Work with
NLP
and
CV
technologies to enhance content understanding for targeted ads.
Collaborate with cross-functional teams to build and scale innovative ad systems.
Contribute to the company’s continued growth by optimizing large-scale systems and algorithms.
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
bonus ,
RSUs , and potential
sign-on bonuses , making it a highly rewarding place to work.
Hiring Notes for All Positions:
Location:
Can accepted working at
any office
in the US, onsite work
Requirements
5+ years of experience in
Machine Learning ,
Software Engineering , or
Applied Science .
Strong proficiency in
Python ,
C++ , or
Go .
Expertise in
Machine Learning ,
Deep Learning ,
NLP ,
ads forecasting ,
ranking systems , or
recommendation systems .
Experience in
ads technologies
like
bidding ,
auction systems , or
ad delivery .
BS
or
MS
in
Computer Science ,
Engineering , or related fields.
About the Role: We are seeking a
Senior Machine Learning Engineer
to join a global leader in short-form mobile video and digital advertising. The
Brand Ads team
is integral to the company’s revenue , building sophisticated ad products and systems to drive engagement for brands and advertisers. You’ll be working with cutting-edge technologies like
machine learning ,
NLP , and
ranking algorithms , in a dynamic, collaborative environment.
What You'll Do:
Develop and optimize
forecasting models
to improve ad spend efficiency.
Design and implement
machine learning algorithms
for
ad optimization , including ranking and personalization.
Work with
NLP
and
CV
technologies to enhance content understanding for targeted ads.
Collaborate with cross-functional teams to build and scale innovative ad systems.
Contribute to the company’s continued growth by optimizing large-scale systems and algorithms.
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
bonus ,
RSUs , and potential
sign-on bonuses , making it a highly rewarding place to work.
Hiring Notes for All Positions:
Location:
Can accepted working at
any office
in the US, onsite work
Requirements
5+ years of experience in
Machine Learning ,
Software Engineering , or
Applied Science .
Strong proficiency in
Python ,
C++ , or
Go .
Expertise in
Machine Learning ,
Deep Learning ,
NLP ,
ads forecasting ,
ranking systems , or
recommendation systems .
Experience in
ads technologies
like
bidding ,
auction systems , or
ad delivery .
BS
or
MS
in
Computer Science ,
Engineering , or related fields.