Description:

Mimica is building an AI-powered platform to accelerate automation discovery and deployment.
Their first product, Mapper, learns patterns from employee clicks and keystrokes to generate blueprints for automation.
They have a technology that translates low-level computer actions into a human-readable representation.
They have launched a companion tool, Miner, to help enterprises identify and prioritize automation opportunities.
The engineering approach includes prioritizing customer needs, working in small project-based teams, owning the full project lifecycle, and balancing quality and velocity.
The Senior ML Engineer will own components of the Machine Learning pipeline, including data analysis, preprocessing, model implementation, and deployment.
Responsibilities include designing and productionizing ML models, working with various data types, creating tools to measure model accuracy, collaborating with frontend engineers, participating in architectural decisions, documenting procedures, and mentoring team members.

Requirements:

Background in solving technical challenges at the intersection of Data Science and Software Development.
Proficiency in Python for writing production-grade code and willingness to learn technologies like MongoDB and Node.js.
Strong understanding of ML packages and libraries, as well as NLP approaches like classification and word embeddings.
Advocate of engineering best practices focusing on code quality, continuous delivery, automated testing, and maintainability.
Drive to continuously develop skills, improve team processes, and reduce technical debt.
Fluency in English with effective communication skills for abstract ideas and complex concepts.

Generous compensation with salaries at the top of the local market.
Structured approach to determining salaries based on salary framework, market data, and candidate skills.
Health benefits and ample paid time off.
Non-tangible benefits like flexible schedules and location, start-to-finish project ownership, and the opportunity to contribute to projects shaping the future of work.