AI/ML - Intern (Private Federated Learning - Machine Learning Engineer), MLPT

AI/ML - Intern (Private Federated Learning - Machine Learning Engineer), MLPT Cambridge, East of England, England

Apple
Full Time Cambridge, East of England, England 10.56 - 12.04 GBP Today
Job description

Summary

Posted: Oct 27, 2022
Weekly Hours: 35
Role Number:200412101
As part of Apple's Machine Learning and AI team, we transform every Apple product and because we fully integrate hardware and software, we can collaborate to deliver amazing experiences while protecting user data. Some people believe that in order to build insightful data analytics you need to sacrifice privacy. We see this as an opportunity to innovate. If you are passionate about privacy and analytics, we need your help!

Key Qualifications

  • Strong skills in object-oriented software design and programming. Proficient in Python/Java or functional languages.
  • Comfortable working independently to deliver results with minimal direction.
  • Oriented towards practical solutions that can be proven empirically, as opposed to theoretical research.
  • Excellent problem solving, critical thinking, and communication skills.
  • Background in either of Machine Learning, Federated Learning, Distributed Systems, Differential Privacy or Statistics.
  • Commitment to high quality, well-tested code, and automation.

Description

You will design and implement features for private federated learning that will benefit millions of Apple users worldwide; work with ML and software engineers to perform empirical analysis, enhance existing ML/FL frameworks and make experimental features viable for production-readiness. You will review designs and code by others and provide constructive feedback. You will share your expertise while continuously learning from colleagues. You will optionally collaborate with world-class privacy and ML researchers, and have the opportunity to publish your work bolstered with results from real-world use-cases at Apple.

Education & Experience

Pursuing a Masters or PhD in Computer Science, or related technical field.

Additional Requirements

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace

AI/ML - Intern (Private Federated Learning - Machine Learning Engineer), MLPT
Apple

www.apple.com
Cupertino, United States
Tim Cook
$10+ billion (USD)
10000+ Employees
Company - Public
Computer Hardware Development
1976
Related Jobs

All Related Listed jobs

Domestic Cleaner for Letting Agency
Watts & Co Property Leeds, England 15 GBP HOURLY Today

Successful candidate will need to be experienced and with an eye for detail, they will need to have their own vehicle but mileage will be paid.

Senior Business Analyst
Macmillan Cancer Support London, England 64000 - 70000 GBP ANNUAL Today

Discounted gym membership, free wills, social team events and much more. Knowledge and experience of working in an Agile and Waterfall project environment and

non title
Young’s Pubs Twickenham, England 21000 - 19720 GBP ANNUAL Today

Bar staff

The Alexander Pope pub & hotel is a stylish hub for Twickenham & Teddington, just a five-minute walk from...

Order Picker / Warehouse Assistant
Stax Trade Centre Glasgow, Scotland 10.5 GBP HOURLY Today

Have the ability to explain the Stax pricing structure to customers and draw to their attention promotions, bonus buys, multi buys.

Research Assistant - Inpatient Research Delivery Team
Northern Care Alliance NHS Foundation Trust Salford, North West England, England 23949 - 26282 GBP ANNUAL Today

Together they manage and are responsible for the day-to-day running of their hospital and community services, ensuring the safe delivery of high-quality care at