Machine Learning Engineer, Customer Systems, Early Career

Key Skills

Aartificial intelligence, CoreML, Deep Learning, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch, Swift, TensorFlow

Job Description

Apple is a place where extraordinary people gather to do their best work. Together we craft products and experiences people couldn’t have imagined — and now can’t imagine living without. If you’re motivated by the idea of making a real impact, and joining a team where we pride ourselves in being one of the most diverse and inclusive companies in the world, a career with Apple might be your dream job!

Customer Systems Team is developing next generation AI and engineering solutions to optimize and enhance the support experience for Apple Care support customers. Our mission is to provide a flawless experience for Apple Care Advisors as well as our Apple Care Customers. Our team is growing rapidly. We are looking for a hands-on machine learning engineer who is passionate about crafting, developing, and deploying cutting edge AI/ML solutions which will impact millions of customers.

Key Qualifications

• Knowledge of applying latest NLP technology to real-world problems in industry.
• Familiarity with one or more deep learning software frameworks such as Tensorflow, PyTorch.
• Solid understanding of Python and excellent software development skills (source code management, debugging, testing, deployment etc.)
• Knowledge of building end to end ML systems and deploying them to operate at scale is a plus.
• Experience with Swift/Metal/Shaders/CoreML is a plus.

In this role, you will be working on ideating and developing privacy preserving AI algorithms and data processing pipelines for Apple Care CRM. Candidates should have a proven track record that demonstrates innovation, strong collaboration, excellent interpersonal skills, and a passion for designing and developing high-quality software. Track record can be through internships or full time roles.

Education & Experience

Bachelor's Degree or equivalent experience in Computer Science or related fields.