Senior/Lead ML Engineer (AI-Powered Platform) – REMOTE UK/Europe/Americas

Job title:

Senior/Lead ML Engineer (AI-Powered Platform) – REMOTE UK/Europe/Americas

Company

Mimica Automation

Job description

What we are buildingMimica’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 ownIn 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

Requirements

• A background in solving complex technical challenges at the intersection of Machine Learning and Software Development, from exploratory analysis to shipping production code
• 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 don’t have expert-level knowledge of the technologies we use!LocationThis 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.BenefitsWe provide generous compensation and our goal is to always pay at the top of the local market. We take a structured approach to determining salaries and take into consideration our salary framework, market data, and candidates’ skills.We also offer health benefits and ample paid time off, as well as a range of non-tangible benefits like flexible schedules and location, start-to-finish project ownership, and the opportunity to contribute to projects that will change the future of work.

Expected salary

Location

London

Job date

Thu, 18 Jul 2024 22:47:35 GMT

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