Summary
Posted : Aug 3, 2024
Role Number : 200561689
Do you want to play a part in the next revolution in large language models, contribute to products that are redefining mobile and desktop computing?
Work with the people who built the intelligent assistant and search products that helps millions of people get things done - just by asking or typing?
We're looking for passionate engineer with demonstrated accomplishments in research or implementation of Generative AI machine learning with emphasis on personalization and privacy.
In this role, you will be able to innovate on the new algorithms, create prototypes and help implement them.
Description
As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products.
Your responsibility would be in improvement of such algorithms, invention of the new ones, prototyping and early demonstration, as well as productization of the results working with broader teams across Apple.
- Research publications or implementation track record of working on interpretability, adaptation or private learning for generative AI.
- Hands on proficiency with Python.
- Proven ability to work and succeed in collaborative environment.
- MS in STEM field.
Preferred Qualifications
- PhD in STEM field.
- Ability to work in multiple computer languages and model training platforms.
- Research work spanning interpretability, personalization and private learning for generative AI.
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 $143,100 and $264,200, 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.
More
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.
AIML - Sr Machine Learning Engineer, Data & Machine Learning Innovation
AIML - Sr Machine Learning Engineer, Data & Machine Learning InnovationApple. As part of Apple's AI and Machine Learning organization, this role focuses on the development and application of innovative machine learning solutions addressing complex data challenges. The Machine Learning Engineer w...
Cellular 4G/5G Firmware Data Science & Machine Learning Engineer
Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in timely manner to automatically tackle the issues or provide recommendati...
Data Scientist & Machine Learning Engineer
Carrying out preprocessing of structured and unstructured data and detecting trends, patterns in data sets and improving data models with advanced analytics and deep learning capability. As a Data Scientist & Machine Learning Engineer, you will work closely with cross-functional teams and other ...
AI/ML - Machine Learning Engineer, Siri Understanding
You will collaborate with researchers to develop advanced machine learning (ML) technologies and agile deployment processes which are easier to scale using the best automation practices. Strong background in applied machine learning and deep learning; experience in speech, speaker, and/or language r...
AIML - Sr. ML Operations Engineer, BIG
Our team is at the forefront of pioneering technologies that enhance multi-modal understanding of sensing hardware and machine learning (ML). In this role, you will explore new operational methods, challenge existing metrics and protocols, and develop innovative practices to revolutionize data deliv...
Research Scientist, Multimodal Machine Learning - Trust and Safety
Our Trust and Safety RD team is fast growing and responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform. This position will work with a team of excellent research scientist and machine learning engineer who can take initiatives, d...
Computer Vision and Machine Learning Engineer
Are you interested in building products that leverage computer vision and machine learning algorithms? Are you looking to apply your state-of-the-art knowledge to produce new features for Apple’s iPhone and iPad cameras? The Computational Photography and 3D Imaging team is looking for an extraordina...
Sr Director, Fraud Risk Machine Learning
Effectively engage and collaborate with cross-functional teams, including strategy, product, and engineering, to uncover and leverage business opportunities through machine learning. Demonstrate the ability to lead, manage, and inspire a team of seasoned machine learning scientists, driving them tow...
AIML - Machine Learning Engineer, Siri Conversation Intelligence
Solid understanding of state-of-the-art technology in machine learning, deep learning (including LLMs) and natural language understanding. Hands-on experience applying common machine learning optimization techniques, like quantization and distillation, to reduce the resource consumption and/or elimi...
Quality Engineering (Machine Learning and Distributed Platform)
Machine learning quality engineers will work with the algorithm engineering and data science teams to test the correctness of the ML algorithms by writing self-checking tests in R and/or Python that verify that we get the math right. Distributed systems quality engineers will work with the distribut...