AI/ML- Optimisation Internship (Annotation Acceleration), MLPT

Heidelberg, Baden-Wurttemberg, Germany


Weekly Hours: 40
Role Number:200196330
We are looking for highly motivated talent to shape how Apple crafts machine learning datasets at scale. Apple’s annotation platform teams build the tools that allow machine learning engineers and researchers across Apple to create datasets that enable the amazing intelligent experiences on our current and future Apple devices. We seek individuals with a passion for data and a desire to understand and tackle the intricate challenges involved in generating large, high-quality datasets for a wide array of sophisticated machine learning problems.

Key Qualifications

  • Background and experience in combinatorial optimisation (anytime algorithms, approximation)
  • Relational algebra and algebraic structures in general
  • Python, Google OR-Tools, Gurobi and/or CPLEX


As part of the ML platform team, your research will focus on intelligent, leading edge approaches to optimize data annotation workflows itself and the scheduling of thousands of annotation jobs given constraints with respect to delivery dates, available annotator resources and similar. You will have the opportunity to collaborate with teams across Apple, who are working on the most advanced intelligent applications in the world. Your responsibilities will include: building a query planner for human annotation workflows and building a system to effectively schedule annotation jobs based on (predicted) available resources and expected annotation performance metrics. Apple’s most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programmes. We’re proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount — both offer everyone at Apple the chance to share in the company’s success. You’ll discover many more benefits of working at Apple, such as programmes that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products. Apple benefits programmes vary by country and are subject to eligibility requirements. Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace.

Education & Experience

Pursuing a PhD in mathematics, computer science or operations research.

Additional Requirements

  • SQL
  • Machine learning knowledge