Machine Learning Engineer

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together 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.

Description

APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Design and develop machine learning models using state-of-the-art techniques such as deep learning, reinforcement learning, and Bayesian inference. Analyze and pre-process large-scale datasets to extract relevant features and eliminate noise and outliers. Implement and fine-tune machine learning algorithms using programming languages such as Python, R, and TensorFlow. Evaluate the performance of machine learning models using various metrics such as accuracy, precision, recall, and F1-score, and optimize them based on feedback from stakeholders and end-users. Visualize and communicate the results of machine learning models using data visualization tools such as Matplotlib, Tableau, and D3.js. Collaborate with cross-functional teams, including software engineers, data scientists, domain experts, and product managers, to integrate machine learning models into real-world systems and applications. Participate in research and development projects to explore new approaches and techniques for machine learning and stay up to date with the latest advancements in the field. Document and maintain the code, data, and models used in machine learning projects and ensure they are easily accessible and reproducible by other team members and stakeholders. 40 hours/week. 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 $175,800 - $264,200/yr and your base pay will depend on your skills, qualifications, experience, and location. PAY & BENEFITS: 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.

• Master's degree of foreign equivalent in Computer Science, Computer Engineering, or related field.
• Education and/or experience must include each of the following skills:
• Using Python and/or C++ in a machine learning research capacity
• Developing machine learning (ML) and deep learning (DL) algorithms in the context of robotics applications
• Researching machine learning optimization methods, common types of models and layers, etc.
• Writing scalable dataset generation, training infrastructure, and evaluation frameworks for ML models
• Creating visualizations to analyze dataset generation algorithms and introspect ML models
• Optimizing and deploying ML models to be performant for production use cases

• N/A