Job Detail

PhD student or post-doctoral researcher

AI automation: Algorithms, models, and platform development

Ref. 2020_002

Role description

AI brings great promise for a new wave of unprecedented productivity across a multitude of industries. Recent AI models have demonstrated extraordinary results in computer vision, natural language processing, as well as many other tasks applied to industrial and engineering domains. Through the years, the complexity of these models has reached enormous levels, with deep learning-based models often reaching the hundreds of millions of parameters. In this setting, the traditional approach of human curation and tuning of AI models is not scalable.

The IBM Research – Zurich Laboratory is leading the design of innovative automated machine learning and deep learning platforms, targeting enterprises that aim to replace or accelerate traditional human-supervised procedures with automated services based on AI models. To achieve this goal, we are looking to strengthen our team with a highly motivated and skilled scientist who will contribute to the design of such solutions.

The candidate will work in the AI Automation group of the IBM Research – Zurich Laboratory. This is an opportunity to work in a unique corporate environment, acquire experience in several areas, publish in top international conferences, learn how to patent innovative ideas, and interact with clients on real business cases.

Core activities

• Develop, standardize, and implement data science and machine learning solutions at scale on distributed systems


• Create new algorithms for near real-time optimization of models for computer vision, NLP, tabular data, and/or time series


• Develop and implement AI workflows for model lifecycle management, including bias mitigation, drift detection, explainability, and constrained optimization


• Engineer at scale using service-oriented architecture, containerized applications and functions as a service, in cloud service environments.

Minimum qualifications (PhD candidates)

• Outstanding university track record, with background in Computing, Machine Learning, Mathematics, Statistics, or equivalent field


• 3+ years of proved programming experience in C/C++ and/or Python


• Proficient in UNIX/Linux


• Ability to speak and write in English fluently


• Self-motivated with passion for technology and innovation.

Preferred qualifications (Post-doc candidates)

• PhD in Computer Science, Statistics, or Applied Mathematics


• 5+ years of proved programming experience in C/C++ and/or Python


• Practical experience with Machine Learning and/or Deep Learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch)


• Experience with one or more of the following: web application development, mobile application development, distributed and parallel systems, distributed data storage, information retrieval, computer vision, natural language processing, networking, large software systems development, backend services and REST API development


• Experience with version control systems and DevOps tools.

Diversity

IBM is committed to diversity at the workplace. With us you will find an open, multicultural environment. We offer a diverse, independent professional activity, with experienced colleagues in a friendly atmosphere on our campus. You will find a dynamic, multi-cultural environment, and flexible working conditions. Women are expressly invited to apply.

How to apply

Candidates with the background and interests listed above are encouraged to send their CV including a list of publications.

Connect with us

Downloads

• Overview presentation of IBM Research – Zurich Lab (7 MB)


• IBM Research – Zurich Lab Fact Sheet (1.5 MB)


• IBM’s Diversity brochure (168 KB)