156 jobs for "Manager, Machine Learning Engineering"

Machine Learning Manager

At Apple

Posted on Oct 19

View job Apply on company site

Machine Learning Manager, Siri Speech

At Apple - Cupertino

Posted on Oct 17

View job Apply on company site

Machine Learning Manager

At Apple

Posted on Oct 15

View job Apply on company site

Machine Learning Engineer Manager -

At Apple

Posted on Oct 14

View job Apply on company site

Senior Product Manager - Data, Machine Learning & GenAI Platform

At Adyen - Amsterdam

Posted on Oct 27

View job Apply on company site

Senior Manager, Data Science and Machine Learning

At Squarespace - New York City

Posted on Oct 14

View job Apply on company site

Machine Learning Engineer 4 - Manager IC

At Capital One - New York · McLean

Posted on Nov 7

View job Apply on company site

Manager, Senior Technical Recruiter - AI / ML & Data Science (IC)

At Capital One - McLean · Richmond

Posted on Nov 5

View job Apply on company site

Manager, Data Science - Model Risk Office

At Capital One - McLean

Posted on Nov 1

View job Apply on company site

Data Science Manager - TikTok Ads

At TikTok - San Jose

Posted on Jul 24

View job Apply on company site

Data Science Manager - TikTok Ads

At TikTok - Seattle

Posted on Jul 24

View job Apply on company site

Senior Product Manager - Apple Cloud AI/ML

At Apple - Cupertino

Posted on Oct 19

View job Apply on company site

Senior Data Science Manager - Strategic Data Solutions

At Apple - Austin

Posted on Oct 19

View job Apply on company site

Manager, Engineering Program Management - Strategic Data Solutions

At Apple - Austin

Posted on Oct 19

View job Apply on company site

Senior Engineering Program Manager, Lead , Service Special Projects

At Apple - Cupertino

Posted on Oct 19

View job Apply on company site

Machine Learning Engineer 5, Senior Manager - Intelligent Foundations and Experiences (IFX)

At Capital One - McLean · Richmond

Posted on Oct 31

View job Apply on company site

Machine Learning Engineer 5 (Senior Manager, IC)

At Capital One - New York · San Francisco

Posted on Oct 30

View job Apply on company site

Talent Acquisition Senior Manager - Tech Recruiting

At Capital One - McLean · Richmond

Posted on Oct 29

View job Apply on company site

Senior Manager, Machine Learning Engineer (People Leader)

At Capital One - New York · Plano

Posted on Oct 21

View job Apply on company site

Director, Technical Program Management (API Strategies)

At Capital One - Cambridge · Richmond

Posted on Oct 9

View job Apply on company site

Apple

Machine Learning Engineer Manager -

SingaporePosted 25 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Apple's Strategic Data Solutions (SDS) team is looking for a talented manager who is passionate about leading a team of data scientists that craft, implement, and operate analytical solutions with direct and measurable impact to Apple and its customers.

You will build and lead a team of SDS machine learning engineers, who employ machine learning, statistical analysis techniques, and system design to build end-to-end solutions for Apple's fulfilment and financial programs. You will engage with a large and talented cross-functional team as we work to build out our solutions, projects and programs.

Apple's dedication to customer privacy, the adversarial nature of trader and risk, and the enormous scale of the business present exciting challenges to traditional machine learning and data science techniques. On this team, you will push the limits of integrating existing data science methods with engineering and business process to deliver tangible business value!

This position is based in Singapore.

Description
Lead and mentor a team of software developers and machine learning engineers
Design and maintain real-time automated decisioning systems and operations for fulfilment and financial products.
Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions.
Engage with business partners and understand their unique requirements and design them technical solutions
Review the teams production code and logic for highly integrated system.
Distill and clearly communicate complex technical topics for both business and engineering stakeholders
Analyze data and tell meaningful stories to assist business partners.
Collaborate with and support the team to innovate, encouraging experimentation and growth.

Preferred Qualifications
Experience in the following a plus: operations, fulfilment, supply chain, trader, payments, financial risk

Minimum Qualifications
Graduate degree in a quantitative field or equivalent professional experience.
Experience leading a team of machine learning engineers and software engineers.
Practical experience training, deploying, and maintaining decisioning algorithms.
Familiarity with distributed databases, data warehousing, and SQL.
Ability to implement custom real-time or batch machine learning applications with their appropriate data pipelines.
Ability to comprehend and debug complex system integrations spanning toolchains and teams.
Ability to extract meaningful business insights from data and identify the stories behind the patterns.
Ability to think at a systems level to anticipate technical, business, and customer impact.
Clear communication and presentation skills.
Unwavering ability to maintain poise and a positive attitude in a challenging and dynamic environment.
Strong organizational skills with an ability to oversee and drive multiple activities at once.
Excellent problem solving skills, business acumen, and solution design mentality.
Experience writing, reviewing, and deploying production software.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

View company profile