560 jobs for "Machine Learning Manager"

Senior Manager, Data Science and Machine Learning

At Squarespace - New York City

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

Manager, Machine Learning

At Toyota North America - Plano

Posted on Oct 29

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

Senior Engineering Manager - Applied Machine Learning - AiDP

At Apple - Hyderabad

Posted on Oct 19

View job Apply on company site

Machine Learning Manager

At Apple

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

Machine Learning Manager, Siri Speech

At Apple - Cupertino

Posted on Oct 17

View job Apply on company site

Machine Learning Engineering Manager, Credit & Underwriting

At Adyen - San Francisco

Posted on Oct 6

View job Apply on company site

Senior Machine Learning Engineer Manager - TikTok Trust & Safety

At TikTok - San Jose

Posted on May 12

View job Apply on company site

Machine Learning Engineering Manager - TikTok BRIC Live Integrity

At TikTok

Posted on Jan 15

View job Apply on company site

Engineering Manager, Machine Learning - Personalize Intelligence

At Adyen - Chicago

Posted on Sep 17

View job Apply on company site

Senior Machine Learning Manager, TikTok Trust and Safety

At TikTok - San Jose

Posted on Apr 29

View job Apply on company site

Senior Machine Learning Engineering Manager, Responsible AI and Safety - AIML/SWE

At Apple - Cupertino

Posted on Oct 17

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

Senior Manager, Product Management - Machine Learning and AI

At Capital One - McLean · Chicago

Posted on Oct 16

View job Apply on company site

AIML - Sr Machine Learning Engineering Manager, Evaluation

At Apple - Cupertino

Posted on Oct 17

View job Apply on company site

Machine Learning Engineering Manager

At Apple

Posted on Oct 16

View job Apply on company site

Machine Learning Manager

At Apple

Posted on Oct 15

View job Apply on company site

Apple

Machine Learning Engineering Manager

Posted 23 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 machine learning engineers 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 across Apple's business operations.

You will engage with a large and talented cross-functional team as we work to build out our data-driven programs. Apple's dedication to customer privacy, the adversarial nature of 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 machine learning methods with engineering and business process to deliver tangible value.

Description
Lead and mentor a team of software developers and machine learning engineers
Design and maintain real-time automated decisioning systems and operations for 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 technical solutions
Review the team's production code and logic for highly integrated systems
Distill and clearly communicate complex technical topics for both business and engineering stakeholders
Analyze data and tell meaningful stories to assist business partners

Preferred Qualifications
Experience leading a team of machine learning 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
Excellent problem solving skills, business acumen, and solution design mentality
Experience writing, reviewing, and deploying production software
Graduate degree in a quantitative field or equivalent professional experience
Experience in the following a plus: payments, finance, or financial risk

Minimum Qualifications
Experience leading a team of machine learning 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
Excellent problem solving skills, business acumen, and solution design mentality
Experience writing, reviewing, and deploying production software
Graduate degree in a quantitative field or equivalent professional experience
Experience in the following a plus: payments, finance, or financial risk

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