We are a research & development startup building a system which accurately represents knowledge and uncertainty, to enable the discovery of insights and transparent problem solving. Currently we’re focussed on sustainably growing our team in the areas of software development, research, operations and business development. Check out our job page for our full list of opportunities and the skill sets we’re searching for: https://planting.space/joinus/ What matters to us are outcomes, not when and from where our team members work, so positions are remote and not bound to exact work hours. We automate as much as we can, so that we can focus on problems that require creativity, analytical thinking and problem-solving. We regularly meet in nice places to work and have fun together. We believe in co-ownership and aligned incentives, so team members can become shareholders of the company. Learn more about our ways of work, and values on our website: https://planting.space/

Job description

We are looking for software engineers experienced with transformer models to contribute to development of our inference and learning pipelines. Tasks will focus on integration of pre-trained transformer models for language and structured data.

Useful experience

Work within Natural Language Processing (NLP)

Implementation, training and fine-tuning of transformer models

Deployment of ML models at scale: Serving models, Optimisation

Experience with ML frameworks

Following state of the art deep learning and large language modelling

Responsibilities

Design model integration based on requirements

Implement models as components of our production system

Write comprehensive tests

Conduct research, and document findings and designs

Incorporate best practices