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Senior/Lead ML Engineer (AI-Powered Platform) - REMOTE UK/EUROPE/AMER
Mimica AutomationIrelandRemotefull_timeVerifiedPosted 12 Jan 2025
About the role
<h3>What we are building</h3><p>Mimica's mission is to accelerate the discovery and deployment of automation with AI. </p><p>Our first product, <strong>Mapper</strong>, 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, <strong>Miner</strong>, which helps enterprises identify and prioritize automation opportunities.</p><p></p><h3>Our approach to engineering</h3><ul> <li>We prioritize customer needs first</li> <li>We work in small, project-based teams</li> <li>We have flexibility in terms of the problems we work on</li> <li>We own the full lifecycle of our projects</li> <li>We avoid silos and encourage taking up tasks in new areas</li> <li>We balance quality and velocity</li> <li>We have a shared responsibility for our production code</li> <li>We each set our own routine to maximize our productivity</li> </ul><p></p><h3>What you will own</h3><p>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.</p><p></p><h3><strong>Part of your day-to-day</strong></h3><ul> <li>Handling various data types, including clickstream text data and images, using NLP and Computer Vision techniques</li> <li>Developing and deploying new models into production environments</li> <li>Creating tools to measure and enhance model accuracy and performance</li> <li>Documenting procedures and guides to facilitate knowledge sharing and helping other engineers to level up through pairing and mentoring</li> <li>Participating in hiring and onboarding new team members; taking on end-to-end project management responsibilities as we grow</li> </ul><p><strong>Requirements</strong></p><ul> <li>A background in solving complex technical challenges at the intersection of Machine Learning and Software Development, from exploratory analysis to shipping production code</li> <li>Experience delivering generalized solutions that are adaptable to different data scales</li> <li>Proficiency in Python, with expertise in developing algorithms for processing complex data structures</li> <li>A solid understanding of traditional NLP approaches, such as classification and named-entity recognition</li> <li>Working knowledge of Deep Learning techniques, including embeddings or transformers.</li> <li>Experience owning projects from start to finish, including specification, architecture, development, testing, deployment and monitoring</li> <li>A drive to continually develop your skills, improve team processes, and reduce technical debt</li> <li>Fluency in English, with the ability to effectively communicate abstract ideas, complex concepts, and trade-offs</li> </ul><p></p><h3>Bonus</h3><ul> <li>Familiarity with image processing and Computer Vision</li> <li>Experience designing, building and maintaining data pipelines</li> <li>Experience working in a high-impact, high-ambiguity startup environment, delivering value quickly and iteratively</li> </ul><p></p><p><strong>We’d love to hear from you even if you don’t have expert-level knowledge of the technologies we use!</strong></p><p></p><h3>Location</h3><p>This is a fully remote position. You can be based anywhere in the UK, Europe, or the Americas <strong>within a UTC-7 to UTC+3 timezone.</strong></p><p><strong>Benefits</strong></p><p>We 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.</p><p>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.</p>
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