Machine Learning Engineer, Strategic Data Solutions (Fulfillment, Supply Chain, Logistics domain ex

Apple

Seattle, WA

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JOB DETAILS

SKILLS

Academic Research, Algorithms, Analysis Skills, Apple, Artificial Intelligence (AI), Biology, Communication Skills, Computer Science, Customer Experience, Data Management, Data Modeling, Data Science, Emerging Technology, Leadership, Logistics, Machine Learning, Mathematics, Mentoring, Metrics, Operational Improvement, Operational Strategy, Operations Research, Operations Security (OPSEC), Organizational Culture, Political Science, Problem Solving Skills, Process Improvement, Programming Languages, Python Programming/Scripting Language, Quality Monitoring, Reporting Skills, SQL (Structured Query Language), Statistics, Supply Chain, Supply Chain Optimization, Team Player, Technical/Engineering Design

LOCATION

Seattle, WA

POSTED

19 days ago

**Weekly Hours:** 40 **Role Number:** 200650806-3337 **Summary** 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 that's constantly learning and having fun while solving tough business problems? We'd 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. **Description** 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 **Minimum Qualifications** + Graduate degree with research/work experience utilizing data science techniques (including but not limited to Computer Science, Statistics, Political Science, Biology, etc) or Bachelor's 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 **Preferred Qualifications** + 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

About the Company

Apple

We bring amazing people together to make amazing things happen.

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.

About Apple

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.

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

FOUNDED

1976

WEBSITE

https://www.apple.com/jobs