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AI/ML - Machine Learning Researcher (Robust and Fair ML), MLR en Barcelona, Barcelona, Spain

Play a part in building the next revolution of machine learning technology that will change the way we create machine learning solutions at Apple. The Machine Learning Research team pursues research & development in the areas of machine learning (ML) with particular focus on introspection, robustness, generalization and fairness in AI.

Descripción del empleo

Key Qualifications
  • In-depth expertise in machine learning and deep learning.
  • Passion for one or more of the following fields: introspection, causality, generalization, representation learning, robustness, fairness.
  • Strong publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, SIGGRAPH, KDD, ACL, FAccT).
  • Strong mathematical skills in linear algebra and statistics.
  • Hands-on experience working with deep learning toolkits such as Tensorflow, PyTorch, or Keras.
  • Excellent presentation and writing skills.
  • Ability to formulate a research problem, design, experiment and implement solutions.
  • Ability to work in a collaborative environment.
Description
This role requires the ability to identify gaps in the research field, define a research agenda, and implement innovative ML strategies for challenging problems that will affect future Apple products. Machine Learning Researchers provide technical mentorship and guidance, prepare technical reports and papers for publication and conference talks. They are able to work both independently and collaboratively to help partner teams meet predefined objectives. They are responsible for delivering ML technologies aligned with the core values of Apple, ensuring the highest standards of quality, scientific rigour, innovation, and respect for user privacy. As a member of the team, you will work on some of the most challenging technical problems, collaborate with world-class machine learning researchers and engineers, you will engage with the academic community by publishing your innovative research, and speaking at conferences and events. Your research will impact future Apple products, you will collaborate with the best teams to integrate your ideas into products that will be used by millions of users. Based in Barcelona, we work closely with teams across Apple worldwide. This means occasional evening meetings with teams outside Spain, and limited international travel may be required in the future. If this is you, we'd love to hear from you!
Education & Experience
PhD or equivalent practical experience in Machine Learning, Computer Vision, Natural Language Processing, Robotics, Computer Science, Data Science, Statistics, Applied Mathematics, or related areas.
Additional Requirements
  • 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 programs. 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 programs that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products.
  • Apple benefits programs 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.

Información extra

Status
Inactiva
Localización
Barcelona, Barcelona, Spain
Tipo de contrato
Tiempo completo
Tipo de trabajo
Cajero
Carnet de conducir
No
Vehículo
No
Carta de motivación
No

Trabajo de cajero | Tiempo completo

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