AI Researcher / Engineer

M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.

Enjoys solving less-defined and complex problems

Familiarity with good SW practices and development, including code quality, version control, etc.

Very strong with ML frameworks such as Pytorch, or Tensorflow

Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.

Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.

As a strong AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:

Design, implement, and evaluate novel machine learning and deep learning algorithms.

Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment.

Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.

Conduct experiments to benchmark new techniques and evaluate model behavior.

Develop tools and frameworks to support scalable and reproducible research and development.