General, Software Engineering

JOB POST: Machine Learning Engineer at Apple, Bengaluru: Apply Now!

Satyaki

Mar 22, 2023
3 min read

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Apple Solutions India invites applications for Machine Learning Engineer at Apple, Bengaluru in the Operation and supply chain domain for the year 2023.

About Apple

Apple Incorporation is an American technology company founded in April 1976 by Steve Jobs, Steve Wozniak, and Ronald Wayne. Founded in 1977, the company was one of the first manufacturers of personal computers with graphical user interfaces. In the long-term continuous efforts, the company has expanded into other consumer electronics areas such as mobile comm: devices, digital music players, notebooks, and wearables. The company’s current CEO is Timothy Donald Cook, better known as Tim Cook.

Job Description

This position involves a wide variety of skills, and innovation, and is a rare opportunity to be working on groundbreaking, new applications of machine learning, research, and implementation.
Ultimately, your work would have a huge impact on billions of users across the globe. You can help inspire change, by using your skills to influence globally recognized products’ supply chains.
The goal of Apple’s Manufacturing &Operations team is to take a vision of a product and turn it into a reality.
Through the use of statistics, the scientific process, and machine learning, the team recommends and implements solutions to the most challenging problems.
We’re looking for experienced machine learning professionals to help us revolutionize how we manufacture Apple’s amazing products. Put your experience to work in this highly visible role.

Key Qualifications

5+ years of experience formulating complex business problems into actionable data solutions.
5+ years of hands-on experience in building large-scale ML systems to solve real problems.
Strong communicator and experience with communicating complex ML outcomes to non-technical engineers.
Intuitive understanding of machine learning algorithms supervised and unsupervised modeling techniques and their performance characteristics.
Experience working with large-scale and real-world datasets.
Experience with machine learning tools and libraries such as TensorFlow, Scikit-learn, R, Spark, and PyTorch.
Experience with ML in manufacturing and operations spaces are plus. In particular, working with extensive and messy manufacturing data sets, as well as deploying the production-ready models to the factory.
7+ years experience in programming skills in Python or R.
Experience with Operations Research (OR) and linear & nonlinear constrained optimization.
Work experience in machine data (sensors, downtime, machine states, etc) for IoT & predictive maintenance applications.
Experience with manufacturing and supply chain ML use cases such as test optimization, cost reduction, and quality improvement.
Experience with full-stack ML development (e.g., Flask, JavaScript) and productionalizing ML system using AWS.
Experience with computer vision and deep learning in manufacturing.

Job Requirements

The Operations Advanced Analytics team is looking for creative and motivated hands-on individual contributors who thrive in a dynamic environment and enjoy working with multi-functional teams.
As a member of our team, you will work on applied machine-learning algorithms to seek problems that focus on topics such as classification, regression, clustering, optimizations, and other related algorithms to impact and optimize Apple’s supply chain and manufacturing processes.
As a part of this role, you would work with the team to build end-to-end machine learning systems and modules and deploy the models to our factories. You’ll be collaborating with Software Engineers, Machine Learning Engineers, Operations, and Hardware Engineering teams across the company.