Job description
What we are building
At Mimica, we're pioneering a novel approach to automation: our AI learns just by observing you work. Our software records users' clicks and keystrokes as they perform a task, uses ML to identify key steps, decisions, and repetition within this dataset, and then generates a “blueprint” for RPA bots. At the core of our ML pipeline is a technology translating noisy low-level computer actions into a clean, human-readable representation.
Our approach to engineering
We prioritise user needs first
We work in small, project-based multi-disciplinary teams
We have flexibility in terms of the problems we work on
We own the full life cycles 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 maximise our productivity
What you will own
In this role, you will own components of our Machine Learning pipeline end-to-end. This means analysing and preprocessing data, implementing pipelines, researching Computer Vision and NLP literature, as well as training, validating, and deploying models to production.
You will constantly experiment and iterate on your solutions leveraging feedback and learnings. As a member of our early engineering team, you‘ll have the opportunity to shape our technical direction and product roadmap, influencing the way we deliver value to customers.
Part of your day-to-day
Designing and productionising new ML models for our different products.
Working with a variety of data types, from sequential clickstream data to NLP and computer vision
Collaborating with frontend engineers to build data annotation interfaces
Improving the accuracy and optimising the performance of existing models
Creating frameworks and tools to streamline the development, training, and deployment of our models
Producing easy-to-use documentation for your implementations
Understanding user needs to identify the best solution to a problem
Guiding and mentoring other engineers to help them grow and achieve high levels of performance
Taking on people management responsibilities as we scale
Participating in hiring to help Mimica grow
Requirements
Breadth of skills and willingness to work at the intersection of data science and software engineering (from exploratory analysis to shipping production code)
High proficiency in Python
Proven ability to solve problems using statistical methods and Machine Learning
Strong understanding of (or desire to learn) various ML packages and libraries
Experience delivering complex technical projects from start to finish – architecture, development, testing, deployment, release
Advocacy of engineering or data science best practices with a focus on scalability, reliability, reproducibility, and maintainability
Fluency in English and excellent communication skills, including the ability to articulate complex technical concepts to diverse audiences
Bonus
Advanced degree or research background in CS, Engineering, Machine Learning, Applied Sciences, or related fields
Familiarity with relational and NoSQL databases, including MongoDB and MySQL
Working knowledge of building data pipelines and orchestration workflows
Experience leading engineering teams
Comfortable working within a high-growth startup environment – delivering value quickly and iteratively
We’d love to hear from you even if you don’t have expert-level knowledge of the technologies we use!
Benefits
We provide very generous compensation, at the top 25th percentile of London tech startups. We take a structured approach to determining salaries and take into consideration our salary framework, market data, and candidates’ skills.
In addition to salary, we offer stock options, pension contributions, and ample paid time off. We also offer a range of non-tangible benefits like flexible schedules and location, start-to-finish project ownership, and building products that will change the future of work.
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