Machine Learning Engineer

Job description


Posted: Jun 15, 2022
Weekly Hours: 39
Role Number: 200384929
Apple is a place where extraordinary people gather to do their best work. If you’re excited by the idea of making a real impact, a career with Apple might be your dream job… Just be prepared to dream big! An expert in advanced analytics, you are passionate about turning data into impactful insights, and driving creative data science solutions. You are skilled at creating analytical models and interactive visualisations. You are a motivated self-starter, comfortable navigating through ambiguity to evaluate complex data, analyse data from multiple angles, build analytical workflows, to deliver findings that directly impact the business. If this describes you, then you should consider joining us.

Key Qualifications

  • Experienced in designing, modelling and implementing
  • Decision optimisation using constraint programming, mathematical integer linear programming, & Boolean satisfiability techniques
  • Stochastic optimisation, Discrete event simulation, reinforcement learning.
  • Predictive analytics e.g. time-series, regression, anomaly detection
  • Deep understanding of machine learning and statistical techniques such as regression, classifiers, clustering, and deep learning
  • Experienced in visualisation, and data storytelling; passionate about drawing insights and hidden patterns from data
  • Meticulous attention to detail, data integrity, and data wrangling
  • Knowledge of relational database technologies such as Teradata, Oracle or MySQL with strong SQL execution and optimisation skills.
  • Ability to articulate complex AI concepts in business terms, know how to tell a story to highlight key insights, and present analysis effectively to key partners
  • Ability to extract technical problem requirements independently.
  • High intellectual curiosity to learn and understand business needs
  • Excellent social skills to collaborate with cross-functional partners to share knowledge, communicate findings, and integrate feedback
  • Proven ability to operate comfortably and effectively in a fast paced, highly-matrixed, rapidly changing environment
  • Experience driving reporting improvements and technology implementations in support of business analytics
  • Demonstrated collaboration as well as leadership and influencing skills


The ideal candidate will have outstanding communication skills, proven decision optimisation problem solving skills, data science and advanced analytics capabilities, strong business acumen, and an innate drive to deliver results. They will be a self-starter, comfortable with ambiguity, and enjoy working in a fast-paced dynamic environment. Innovative and strategic approach to reporting and business analytics. Develop custom models, algorithms, and interactive visualisations to deliver Supply Chain insights. Wrangle and analyse data to identify patterns, trends, and feature engineering Evaluate business needs through in-depth conversations with business users to understand the domain and apply data science for insights. Present key findings to leadership to evaluate business impact, in non-technical terms

Education & Experience

MSc or PhD in Operations Research, Constraint Programming, Machine learning, Statistics or in similar field 5+ Years experience in a similar field

Additional Requirements

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