Sr. Applied ML Engineer, Wallet & Payments
Sr. Applied ML Engineer, Wallet & Payments
Posted on :
02-08-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 181100 - 318400
Vacancy
1 Vacancy
Posted on :
02-08-2025
Job 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 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 teams technical capabilities.- Research and develop techniques for efficient on-device ML.
- 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.
- 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.
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 $181100 and $318400 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 Apples 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 Apples Employee Stock Purchase Plan. Youll 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.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apples 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 Apples Employee Stock Purchase Plan. Youll 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.
Required Experience:
Senior IC
Employment Type
Full-Time
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