Data Scientist

Job title – Applied Scientist / Data ScientistWho are we?We are an Artificial Intelligence company bringing the speed and insight of Applied AI tovisual assessment. Trained on millions of data points, our AI-powered solutions connecteveryone involved in insurance, repairs, and sales of homes and cars – helping people workfaster and smarter, while reducing friction and waste.Founded in 2014, We are now the AI tool of choice for world-leading insurance andautomotive companies. Our solutions unlock the potential of Applied AI to transform thewhole recovery ecosystem, from assessing damage and accelerating claims and repairs torecycling parts. They help make response to recovery up to ten times faster – even afterfull-scale disasters like floods and hurricanes.it has a world-class culture, backed up by our team, making us a global employer ofchoiceWe're a diverse team, uniting individuals of over 40 different nationalities and from variedbackgrounds, with machine learning researchers and motor engineers collaborating togetheron a daily basis. We empower each team member to have tangible impact and grow theirown scope by intentionally building a culture centred around collaboration, transparency,autonomy and continuous learning.Our team shapes the technical foundations used across all products, currentlyfocused on auto insurance and natural disaster recovery. Our mission is to leverage thelatest ML research to solve hard science problems necessary to transform the insuranceindustry (& more). We focus on creating mission-critical AI systems solving some of thetrickiest problems in computer vision, and our innovation has already improved the lives of100,000s of people so far (really). We’re a fun and ambitious team, and looking for someoneto join us on our exciting journeyAuto organization – Who we are & What we doOur organization is responsible for building products for the automotive industry. We havealready built 2 products (Estimating, Review) sold globally to insurers.Our long-term vision is to build a platform ecosystem that we can leverage to effortlesslybuild new products and use cases. Our current mission is to create a reliable and safe“virtual” motor appraiser/expert as a service, we can leverage to solve many use casesacross the automotive industry. We are doing so, by building high-quality input capturemechanisms for our users, creating a state-of-the-art damage assessment stack for autodamage, or delivering explainable and human-centric decision-making engines.We are working hand-in-hand with engineering teams to turn our R&D prototypes intomission-critical systems.What will you be doing?As an Applied scientist, you will contribute to the design, development, and improvement ofAI/ML models and systems. You will be expected to:- Work with applied scientists, data scientist, software engineers and product partners todesign and deliver AI/ML solutions in production at scale.- Design and develop AI/ML models, workflows and end-to-end pipelines for datapreparation, training, deployment, monitoring, etc., and ensure the quality of architecture anddesign of our ML models and systems.- Deliver customer-facing and/or underlying AI/ML solutions that empower our platform toprovide the best experience for our customers.What we’re looking for...BASIC QUALIFICATIONS- Master's in Computer Science, Machine Learning, or related quantitative field. A PhD inComputer Science or related fields with a focus on Machine Learning is a strong plus.- Extensive knowledge and practical experience in several of the following areas: machinevision (classical methods and deep learning) and information retrieval. Natural languageprocessing is a plus.- Demonstrated experience in building scalable AI/ML models and systems and deliveringend-to-end solutions in a production environment.- Experience programming in Python, C++, or related languagesPREFERRED QUALIFICATIONS- Publications at top-tier peer-reviewed conferences or journals or a proven track record ofindustry innovation in creating novel solutions and advancing the state of the art.- Experience with machine learning libraries and deep learning frameworks (TensorFlow,PyTorch, etc.)- Experience with end-to-end software development and life cycle of machine learningsolutions.- Excellent verbal and written communication skills, with the ability to communicate complextechnical concepts and solutions to all levels of the organization