AIML - Machine Learning Engineer, Data and ML Innovation

Apple; Seattle (WA); On-site; USD 135,000 - 251,000; Full time

Job summary

An established industry player is seeking a Machine Learning Engineer to join their innovative team in Seattle. In this role, you will tackle ambitious technical challenges in AI and machine learning, collaborating with researchers and engineers to develop transformative products. You will innovate methods for synthetic data generation, build robust evaluation pipelines, and have the opportunity to present your groundbreaking research at premier academic venues. This is a unique chance to significantly impact the future of technology and contribute to projects that will benefit billions of users worldwide. If you are passionate about machine learning and eager to push boundaries, this role is perfect for you.

Benefits

Comprehensive medical and dental coverage

Retirement benefits

Employee stock purchase plan

Tuition reimbursement

Discretionary bonuses

Qualifications

• Expertise in machine learning, computer vision, and natural language processing.
• Strong programming skills in Python and deep learning frameworks.

Responsibilities

• Innovate and apply research in ML to tackle complex data problems.
• Develop pipelines for synthetic data generation and model evaluation.

Skills

Machine Learning

Computer Vision

Natural Language Processing

Data-Centric Machine Learning

Problem-Solving

Communication Skills

Education

M.S. in Machine Learning

Ph.D. in Machine Learning

Tools

Python

PyTorch

Jax

Job description

AIML - Machine Learning Engineer, Data and ML Innovation

Seattle, Washington, United States Machine Learning and AI

Summary

Posted: Mar 28, 2025

Weekly Hours: 40

Role Number: 200594184

Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide! As part of Apple's AI and Machine Learning org, we encourage and create groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding and generation. The Data and Machine Learning Innovation (DMLI) team is looking for a Machine Learning Engineer to explore new methods, challenge existing metrics or protocols, and develop new insightful practices that will change how we understand data and overcome real-world ML challenges.

Description

As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying state of the art research in ML to tackle complex data problems. The solutions you develop will significantly impact Apple Intelligence, future Apple products and the broader ML development ecosystem. You will work with a multidisciplinary team to actively participate in Apple Intelligence’s data-model co-design and co-develop practice. Your responsibilities will extend to the design and development of a comprehensive data generation and curation framework for Apple Intelligence foundation models at Apple. You will also be responsible for building robust model evaluation pipelines, integral to the continuous improvement and assessment of Apple Intelligence foundation models. Furthermore, you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues. Your work may span a variety of directions, including but not limited to:

1. Develop and implement techniques for creating high-quality synthetic datasets across a variety of domains, including vision, text, and audio data.
2. Innovate and experiment with new approaches for synthetic data generation to improve the diversity, realism, and representativeness of datasets.
3. Collaborate with multi-functional teams to understand data requirements and ensure that synthetic datasets are optimized for training foundation models.
4. Craft and implement semi-supervised, self-supervised representation learning techniques for growing the power of both limited labeled data and large-scale unlabeled data.
5. Develop pipelines and tools to automate synthetic data generation for large-scale AI experiments.
6. Stay updated with the latest research and industry trends in synthetic data generation, foundational model training, and large-scale data engineering.

Minimum Qualifications

• Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning.
• Deep understanding in multi-modal foundation models.
• Staying on top of emerging trends in generative AI and multi-modal LLM.
• Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax.
• M.S. degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas.

Preferred Qualifications

• 3+ years of experience with developing and evaluating ML applications, and demonstrated experience in understanding and improving data quality.
• Strong publication record in relevant conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc).
• Strong problem-solving and communication skills.
• Ph.D in Machine Learning and/or related areas.

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 $135,400 and $250,600, 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. (https://www.apple.com/careers/us/benefits.html)

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

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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)