Hireio, Inc.
04. Senior Machine Learning Engineer, Brand Ads -US
Hireio, Inc., San Jose, California, United States, 95199
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 generation, 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. Minimum Requirements:
Location:
Can accepted working at
any office
in the US, onsite work. 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.
#J-18808-Ljbffr
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 generation, 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. Minimum Requirements:
Location:
Can accepted working at
any office
in the US, onsite work. 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.
#J-18808-Ljbffr