Sr. Applied ML Engineer, Wallet & Payments

Sr. Applied ML Engineer, Wallet & Payments

New York City, New York, United States

Software and Services

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives' best work! In Wallet, Payments & Commerce, we create products and experiences people once couldn't have imagined, and now, can't imagine living without. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do. If you are a self-motivated, energetic individual with a track record of delivering impactful results, we want to hear from you!

Description

We are seeking a talented Senior Applied ML Engineer to lead and contribute to high-visibility projects. You will be at the forefront of designing and developing cutting-edge AI/ML models and GenAI applications, working with our AI/ML engineers on a wide spectrum of approaches to improve the user experience in Wallet and other services. This role requires deep expertise in Machine Learning, a passion for transforming ideas into products, and the ability to effectively communicate complex ideas to cross-functional teams and partners. IN THIS ROLE, YOU WILL:

• Design and implement advanced Machine Learning models to optimize user experiences across Wallet services, including Pay, Cash, and Card.
• Collaborate with various teams (e.g., product, user experience, infrastructure, quality, data) to develop exciting features and translate business objectives into robust AI/ML solutions yand GenAI applications.
• Develop and evaluate prototypes, proof-of-concepts, and production-ready solutions.
• Develop and mentor aspiring applied engineers to expand their scope and have a big impact. Foster a culture of collaboration, innovation, and excellence within the team.
• Effectively communicate analytical insights to partners and senior leaders, providing clear, actionable recommendations.
• Stay updated with the latest trends, technologies, and best practices in AI. Regularly research and present new ideas to improve the team's technical capabilities.
• Research and develop techniques for efficient on-device ML.

Minimum Qualifications

PhD/MS in Computer Science, Machine Learning, Information Technology, Computational Linguistics, NLP, Computer Vision, Statistics, Applied Math or a related field, or equivalent work experience.

Expertise and experience in various facets of machine learning and natural language processing, such as feature engineering, classification, information extraction, clustering, semi-supervised learning, topic modeling and ranking.

Experience with computer vision or vision-language models.

Proven record in delivering end-user facing ML driven products.

Experience with model deployment pipelines and serving GenAI models in production.

Strong programming experience in one or more of the following: Python, Scala, Swift.

Expertise in at least one deep learning framework, eg: PyTorch, TensorFlow, or Jax.

Attention to detail, data accuracy and quality of output.

Strong problem-solving skills and the ability to tackle novel challenges, combined with strong communication and interpersonal capabilities.

Highly self-motivated and results-driven, able to operate independently and lead without authority.

Preferred Qualifications

Hands-on experience working with transformer-based architectures, e.g., GPT, BERT.

Hands-on experience with RAG, LLM fine-tuning.

Familiarity with GenAI frameworks and tools, e.g., LangChain.

Prior team lead experience is desired.

Familiar with model compression algorithms including quantization, pruning, distillations, and experience on optimizing large language models.

Familiarity with reinforcement learning and advanced optimization techniques.

Strong understanding of state-of-the-art LLMs and deployment for real-world applications.

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 $181,100 and $318,400, 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.