Do you love the challenge of solving complex problems that can have a direct and meaningful impact on the company? Do you want to be part of a supportive team thats constantly learning and having fun while solving tough business problems? Wed love to talk to you if you do! Strategic Data Solutions empowers internal partners and optimizes the customer experience by delivering data-driven solutions across Apple - from fraud mitigation and security to supply chain optimization and fulfillment. This role is on our Fulfillment Operations team, where the enormous scale and complexity of Apple's global supply chain present exciting opportunities for applying machine learning and optimization to real-world logistics problems.
As a Machine Learning Engineer on this team, you will work with partners across Apple, using machine learning and optimization techniques to design, build, deploy, and maintain end-to-end solutions that improve operational efficiency and security, with a direct, measurable impact on the company and our customers.
Our commitment to you: We will provide challenging problems that will engage your curiosity. We will provide an organizational culture that values collaboration, problem-solving, and work-life balance. We will provide mentorship to further develop your technical and leadership skills.
Engage with stakeholders to translate ambiguous business problems into technical solutions
Design data-driven solutions, balancing established techniques with custom approaches where they add value
Collaborate with technical partners to implement robust real-time and batch decisioning in production
Create reporting and monitor decisioning quality to maintain operational and business metric health
Build end-to-end data pipelines and models to automate and improve fulfillment processes.
Productionize and own the stack
Communicate with stakeholders with varying technical backgrounds and business priorities about your work
Share what you're learning about emerging technologies and methods to improve your team's overall technical capabilities
Graduate degree with research/work experience utilizing data science techniques (including but not limited to Computer Science, Statistics, Political Science, Biology, etc) or Bachelors degree with equivalent experience
At least 3 years of practical experience (acquired through work, independent projects, or academic research) in deploying machine learning solutions to answer real-world questions
Practical experience implementing data science applications in Python or a similar programming language
Theoretical understanding of machine learning algorithms and their relative strengths and weaknesses
Ability to use a querying language such as SQL to extract insights from data
Effective communication skills to translate complex concepts and analysis into concise, business- focused solutions
Team-oriented skills and values to facilitate effective collaboration with business and technical partners
PhD in a related field (e.g., Computer Science, Statistics, Operations Research, or similar)
Experience with operations research or mathematical optimization techniques (e.g., linear programming)
Demonstrate ability to think holistically about system structures and interactions in order to anticipate technical, business, and customer impact
Experience with AI-assisted coding tools
We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.