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What We Are Building
Mimica's mission is to empower enterprises, teams, and individuals to reclaim their most precious resource — time and work more efficiently, with greater purpose and impact.
What We Are Building
Mimica's mission is to empower enterprises, teams, and individuals to reclaim their most precious resource — time and work more efficiently, with greater purpose and impact.
Our AI-powered task mining observes employee actions across the desktop and categorizes them into detailed process maps. Mimica’s process intelligence highlights inefficiencies, prioritizes improvements based on ROI, recommends the optimal technology for automation (RPA, intelligent document processing, GenAI), and provides a blueprint for building new automations and transforming work.
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 own
In this role, you will support the backend of a new Product - the Mimica Maker. This will be a product that allows users to build and orchestrate bots from the data we record.
You will build pipelines and core components of our ML systems, deliver new AI features and drive improvements to our infrastructure and services.
As an early member of the MLOps Chapter, and a founding member of the Maker Team, you‘ll have the opportunity to shape our technical direction, processes and culture.
Part of your day-to-day
- Writing algorithms to process complex data structures
- Developing data and ML training pipelines (dataset creation, model training, and evaluation)
- Working closely with Data Scientists and ML Engineers to design the architecture of our next generation of models, deploy them into production and optimize their performance.
- Monitoring model deployments to anticipate and mitigate system performance issues (disk utilization, memory and CPU usage)
- Build and enhance tools for monitoring and measuring model accuracy, performance, and data quality
- 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.
Requirements
- Background in solving complex technical challenges at the intersection of Software Development and Data/ML Engineering
- Proficiency with Python and databases in high-scale environments.
- Hands-on experience with message queues like RabbitMQ, NATS, gRPC, REST or others.
- Familiarity with cloud infrastructure, ops and containerised tools like K8s, Docker or others.
- Experience in designing, building, and maintaining data collection tools, caching/storage systems, queues and pipelines
- Knowledge of best practices for performance optimisation, memory management, model and data scalability, as well as data storage and quality tuning
- Strong analytical and troubleshooting skills – methodically decomposing systems to identify bottlenecks, determine root causes, and implement effective solutions
- Drive to continually develop your skills, improve team processes and reduce technical debt.
- Fluency in English and ability to effectively communicate abstract ideas, complex concepts and trade-offs
Nice to have:
- Rust
- Experience owning projects from start to finish, including specing, architecture, development, testing, deployment, release and monitoring
- Experience working within a fast-growing Scale-up environment – delivering value quickly and iteratively
- Having been a founding/early member of an Engineering team
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.
What we offer
Generous compensation + stock options — aligned with our internal framework, market data, and individual skills.
Distributed work: Work from anywhere — fully remote, in our hubs, or a mix.
Laptop, remote setup stipend, and co-working budget
Flexible schedules and location
️ Ample paid time off, in addition to local public holidays
Enhanced parental leave
️ Health and retirement benefits
Annual L&D budget
Annual workaways and regular virtual & in-person socials
Opportunity to contribute to groundbreaking projects that shape the future of work
Note: Some benefits may vary depending on location
Seniority level
- Seniority levelMid-Senior level
Employment type
Job function
- Job functionEngineering and Information Technology
- IndustriesSoftware Development
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