Apple

Staff ML Engineer - Ads ML Infrastructure

United States · On-site
Salary not published
Posted 4 months ago

From Apple's careers page

Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.

About the role

You will work closely with engineers and data scientists to design, develop, and build world-class platform capabilities that will enable Ad Platforms teams to improve and scale our ML features, models, and applications.

What they ask for vs. your profile

Must have

Agile
Machine learning

Your match

Reach the hiring team

A short note to a recruiter or the hiring manager after you apply can get your application read sooner.

Hi [Name], I just applied for the Staff ML Engineer - Ads ML Infrastructure role at Apple. My background in [your most relevant experience] lines up well with what the team is looking for. Would you be open to a quick chat, or could you point me to the right person on the team? Thank you!

ATS check

AI ready

Scores your resume against this job the way resume scanners do: the job's hard and soft skills, searchability, recruiter tips and formatting.

Choose a PDF or Word resume

Create a free account to see your score. Your resume stays in this browser until then, and we never store it.

Already a member? Sign in

Similar jobs

All jobs

Apple

Staff ML Engineer - Ads ML Infrastructure

United States · On-site
Salary not published
Posted 4 months ago

From Apple's careers page

Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.

About the role

At Apple, we work every day to create products that enrich people’s lives. Our Ad Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads, App Store, and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy.

The Machine Learning Platform team’s mission is to empower Ad Platforms teams to build and scale the innovative ML systems that deliver highly optimized advertising content to consumers. Are you a results-oriented and versatile engineer who can excel in an Agile environment? You will work closely with engineers and data scientists to design, develop, and build world-class platform capabilities that will enable Ad Platforms teams to improve and scale our ML features, models, and applications.

What they ask for vs. your profile

Must have

Agile
Machine learning

What they ask for vs. your profile

Must have

Agile
Machine learning

Your match

A free account lets you apply, save this job, see how well you match and check your resume against it.

Career roadmap: Machine Learning EngineerWhat to learn, how to practice and free resources, from beginner to expert.

Reach the hiring team

A short note to a recruiter or the hiring manager after you apply can get your application read sooner.

ATS check

AI ready

Scores your resume against this job the way resume scanners do: the job's hard and soft skills, searchability, recruiter tips and formatting.

Choose a PDF or Word resume

Create a free account to see your score. Your resume stays in this browser until then, and we never store it.

Already a member? Sign in

ATS check

AI ready

Scores your resume against this job the way resume scanners do: the job's hard and soft skills, searchability, recruiter tips and formatting.

Choose a PDF or Word resume

Create a free account to see your score. Your resume stays in this browser until then, and we never store it.

Already a member? Sign in