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ICLR 2024 Career Website

Here we highlight career opportunities submitted by our Exhibitors, and other top industry, academic, and non-profit leaders. We would like to thank each of our exhibitors for supporting ICLR 2024. Opportunities can be sorted by job category, location, and filtered by any other field using the search box. For information on how to post an opportunity, please visit the help page, linked in the navigation bar above.

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Locations London, Amsterdam, Belgrade

We are currently in search of Staff Machine Learning (ML) engineers with exceptional skill sets and a passion for large language models. Your invaluable contributions will play a pivotal role in shaping our advanced LLM stack.

In this position, your responsibility will be to: - Conduct experiments with innovative deep learning methods to improve our models. - Explore techniques to enhance of our pretraining and alignment data.

We expect you to have: - 5+ years experience in a Machine Learning or AI related role - Substantial industrial or academic experience with large language models and generative AI. - A profound understanding of the theoretical foundations of machine learning. - Familiarity with modern deep learning frameworks such as TensorFlow, PyTorch, or JAX. - Proficiency in contemporary software engineering approaches, including CI/CD, version control, and unit testing. - A commitment to maintaining extreme rigor in all job-related activities.

Additional Advantages: - Previous experience working with language models or other similar NLP technologies. - Track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment. - Strong engineering skills, including experience in developing large distributed systems or high-load web services. - Open-source projects that showcase your engineering prowess.


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At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.


Apply

At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.


Apply

NYC or Cambridge, MA


About Basis Research Institute:

Basis is a 501(c)(3) nonprofit applied research organization dedicated to understanding and building intelligence, and advancing society’s ability to solve intractable problems. Our focus spans the establishment of mathematical principles of reasoning, learning, decision-making, understanding, and explaining, alongside constructing software that embodies these principles.

Open roles

See all open roles and apply here.

  • Research Scientist, Machine Learning: Probabilistic machine learning and causal inference.
  • Research Scientist, Compilers & Programming Languages: PL/compiler design and implementation.
  • Research Engineer, ML & PL: Translate research ideas into correct, robust, and scalable high-quality code.
  • Basis Postdoctoral Fellowship: Joint project with Basis and academic PI. Open projects in LLM-Based Reasoning and Planning and Whole-Cell Model-Driven Gene Function Discovery
  • Scientific Proposal Writer: Communicate our research to funders, the scientific community, and the public.

We offer competitive salaries, good benefits, and a unique opportunity to work on deep technical problems and see them applied to real-world challenges.

Questions? Inquire: contact@basis.ai


Apply