What we are building

Mimica's mission is to accelerate the discovery and deployment of automation with AI.

Our first product,Mapper, learns patterns from employee clicks and keystrokes, identifies key steps, decisions and repetition and generates “blueprints” for automation. At the core of our ML pipeline is a technology translating noisy low-level computer actions into a clean, human-readable representation. Alongside creating process maps for automation, we've launched a companion tool,Miner,which helps enterprises identify and prioritize automation opportunities.

Our approach to engineering

We prioritize customer needs first
We work in small, project-based teams
We have flexibility in terms of the problems we work on
We own the full lifecycle of our projects
We avoid silos and encourage taking up tasks in new areas
We balance quality and velocity
We have a shared responsibility for our production code
We each set our own routine to maximize our productivity

What you will work on

In this role, you will own components of our Machine Learning pipeline end-to-end. This includes researching advanced techniques in Deep Learning and Transformers, analyzing and preprocessing multi-modal data, and training and fine-tuning models. As a founding member of our team, you'll have the opportunity to shape our technical direction, processes, and culture.

Part of your day-to-day

Handling various data types, including clickstream text data and images, using NLP and Computer Vision techniques
Developing and deploying new models into production environments
Creating tools to measure and enhance model accuracy and performance
Documenting procedures and guides to facilitate knowledge sharing and helping other engineers to level up through pairing and mentoring
Participating in hiring and onboarding new team members; taking on end-to-end project management responsibilities as we grow

What you will bring

A background in solving complex technical challenges at the intersection of Machine Learning and Software Development
Experience delivering generalized solutions that are adaptable to different data scales
Proficiency in Python, with expertise in developing algorithms for processing complex data structures
A solid understanding of traditional NLP approaches, such as classification and named-entity recognition
Working knowledge of Deep Learning techniques, including embeddings or transformers
Experience owning projects from start to finish, including specification, architecture, development, testing, deployment and monitoring
A drive to continually develop your skills, improve team processes, and reduce technical debt
Fluency in English, with the ability to effectively communicate abstract ideas, complex concepts, and trade-offs

Bonus

Familiarity with image processing and Computer Vision
Experience designing, building and maintaining data pipelines
Experience working in a high-impact, high-ambiguity startup environment, delivering value quickly and iteratively

We’d love to hear from you, even if you feel you don’t quite have all of the above.

Location

This is a fully remote position. You can be based anywhere in the UK, Europe, or the Americas within a UTC-7 to UTC+3 timezone.