Intuition Robotics is on a mission to empower older adults to live happier, healthier, and more independent lives at home. Our award-winning product, ElliQ, is a proactive care companion that helps keep older adults healthy, engaged, and informed while alleviating the effects of loneliness and social isolation. Harnessing the unique bond formed between ElliQ and her members, she is able to help them reach their health and wellness goals and get the help they need in time.

Intuition Robotics was founded in 2016 and has backed by top investors, including Toyota Ventures, Samsung NEXT, iRobot, and Venture Capital firms from California, Israel, and Japan.

Our data scientists are at the focal point of building the algorithmic infrastructure that enables long-term and high-volume interactions between humans and machines. Such a “relationship” framework requires the development of unique tools based on a set of algorithms ranging from transformers and LLMs, multimodal fusion algorithms, to personalization machine learning models.

We are extremely data-driven, working tightly with the production environment, delivering clear and efficient code, to create a real impact on real people's life.

Responsibilities:

Concisely define the problem together with our product team, research the field, brainstorm, design your algorithmic solution, build datasets, train your models and validate the results, deploy the model, and optimize as the data unfold in the field.

Requirements:

• M.Sc Or Ph.D. in a computational field with machine learning emphasis.
• Proven experience in bringing machine learning solutions to production.
• Proven experience in one of the following: transformers, LLM, deep neural networks.
• High research capabilities: transforming literature into code, innovative approaches for models development.
• Self-starter, innovative and motivated.
  
  

Advantage:

Experience in training transformers, fine-tuning LLMs, ViT, and RL.

In a nutshell:

We are looking for a Senior Data Scientist to join our team with a deep knowledge of Machine Learning tools and methods to research natural language, LLM, and intelligent assistants, to develop applications that help people and machines work together to accomplish shared tasks.