We are looking to hire an applied scientist to join the science team responsible for some of the Artificial Intelligence innovations and experiences being delivered within Teams and similar products.
The team works on state-of-the-art AI models and techniques such as Transformers and Convolutional Neural Networks; and leverage innovation in their architecture, training, fine-tuning, distillation and general design patterns to build innovative features to bring value to our customers.
You will partner with research, product and engineering teams to invent and deliver the future for our Copilot and other AI products.
This role can be based out of any of our offices in Israel, with flexibility for in-office or work from home schedules.
Our mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities:
Conduct applied science experiments, create and validate metrics, develop ML pipelines and algorithms in the fields of Large Language Models, Natural Language Processing, Speech Recognition, and/or Computer Vision.
Collaborate closely with other research and product groups within the wider organization, to create the next generation of AI innovation in our products and services.
Embody our culture and values.
Requirements: Required Qualifications:
Masters degree in Statistics, Computer Science, Mathematics, Electrical or Computer Engineering, or related field.
Practical experience in designing, training or fine-tuning Transformer models or LLMs, as well as usage of applied LLM design patterns such as prompt engineering, flow engineering, RAG, self-review, reACT, guardrails, etc.
3+ years practical ML Engineering and Python coding experience leveraging PyTorch or TensorFlow or similar framework, within large code repositories and in collaboration with additional team members.
Preferred Qualifications:
PhD in Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent.
Practical experience developing applications using prompt engineering, fine tuning, Open AI or Azure Open AI APIs.
System development skills spanning rapid prototypes to production systems with complex dependencies.
This position is open to all candidates.
