Machine Learning Engineer, Applied Machine Learning

Summary

Posted: Jan 7, 2025

Weekly Hours: 40

Role Number:200578644

Do you want to work on building groundbreaking ML technologies and make real world impact? At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. The Applied Machine Learning Data Science team in is a group of innovative ML engineers and Scientist from diverse disciplines with extensive track records in both academia and industry. ML Engineers of the team work on many high-impact projects, building state of the art machine learning models that serve various Apple lines of business and enrich end user experiences. We have the opportunity to do groundbreaking applied machine learning work that will shape the industry. As ML Engineeers, we develop cutting-edge machine learning algorithms to enable current and future products and services in various enterprise scenarios!

Description

The ML Engineer will work on solving real world business problems through machine learning and computer vision. You will work to devise models and ml approaches to solve these problems and achieve business KPIs, you will work with large-scale data sets with intensive hand-on code development. In addition, the role requires close partnering with business teams in articulating the research methodologies and results. The role also requires collaboration with engineering teams in integrating and deploying ML models to deliver amazing user experiences. Are you deeply accountable for your work? Your passion for product ownership and track record of product development will prove critical to your success on our team. We are in need of a creative thinker with deep expertise in machine learning, algorithms, and optimization. You will work with amazing colleagues, brainstorm new ideas, and develop models and algorithms to solve ambitious problems that have a substantial impact.

Minimum Qualifications

• Bachelors Science, Computer Science, engineering or similar quantitative field with a focus on machine learning.
• 3+ years of industry experience implementing end-to-end data science and machine learning projects. Familiarity with SW development and release cycles.
• 2+ years of experience in one or more of the following ML areas: Computer Vision, NLP, gen AI, AR/VR, Document Intelligence
• 2+ years of experience in algorithm design, modeling, or quantitative analysis
• Experience with deep learning framework such as Pytorch, TensorFlow and Keras
• Experience with optimization, approximation algorithms, distributed algorithm design, and hands-on implementation of these techniques.

Preferred Qualifications

• MS or Ph.D., Computer Science, engineering or similar quantitative field with a focus on machine learning is strongly preferred.

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 $166,600 and $296,300, 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.