AIML Machine Learning Engineer Special Projects

NLP PEOPLE
US - California - Cupertino
January 23, 2025
Manufacturing

Summary
Posted:
Nov 4, 2024
Weekly Hours:
40
Role Number:
200577082

Apple is where individual imaginations gather together, committing to the values that lead to great work.
Every new product we build, service we create, or experience we deliver is the result of us making each other's ideas stronger.
The diversity of our people and their thinking inspires the innovation that runs through everything we do.
When we bring everybody in, we can do the best work of our lives.
Here, you'll do more than join something you'll add something.

The Special Projects team at Apple is developing novel user-facing conversational features that leverage the multimodal capabilities of state-of-the-art foundation models.
We are looking for a highly skilled Machine Learning Engineer to lead the development and evaluation of such features in collaboration with cross-functional stakeholders.

Description

In this role, you will:

Design and implement machine learning algorithms to aid in building user-facing interactive conversational features
Leverage multi-modal foundation models for rapid prototyping and iteration
Develop evaluation strategies to translate product requirements to objective metrics
Shepherd data collection and evaluation efforts to ensure rapid and measurable progress
Collaborate with key stakeholders in hardware engineering, software engineering and design to develop prototypes and evolve them into production systems (for example, Siri and Apple Intelligence features in Apple's operating systems).

Minimum Qualifications

Master's degree in Computer Science or other STEM majors
Experience with the use and evaluation of foundation models
Proficiency in Python and ML frameworks (Pytorch or Tensorflow)
2+ years of hands-on industry experience building and evaluating Machine Learning or Natural Language Processing systems

Key Qualifications

PhD in Computer Science, Machine Learning or a related technical field
4+ years of hands-on industry experience with Machine Learning systems
Proficiency in training and evaluation of foundation models and frameworks
A track record of publications or technical presentations in Machine Learning journals or conferences
Excellent at communication and cross-functional collaboration

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range.
This provides the opportunity to progress as you grow and develop within a role.
The base pay range for this role is between $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs.
Apple employees are eligible for discretionary restricted stock unit awards and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan.
You'll also receive benefits including:
Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses including tuition.
Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Learn more about Apple Benefits.

Note:
Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Company:

Apple

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.
Learn more about your EEO rights as an applicant.

Read the full job description and apply online on the recuiter's web-site

AIML Machine Learning Engineer Special Projects