Applied Staff Scientist

Who we are Tractable is an Artificial Intelligence company delivering the speed and insight of Applied AI to visual assessment. Our AI-powered solutions, trained on millions of data points, connect everyone involved in insurance, repairs, and sales of homes and cars – aiding in faster, smarter work and reducing friction and waste. Founded in 2014, Tractable is now the AI tool preferred by leading insurance and automotive companies globally. Our solutions unlock the potential of Applied AI to revolutionize the entire recovery ecosystem, from assessing damage and expediting claims and repairs to recycling parts, making the response up to ten times faster even after major disasters like floods and hurricanes. Tractable boasts a world-class culture backed by our team, establishing us as a top international employer. Our diverse team consists of individuals from over 40 different nationalities and varied backgrounds, incorporating machine learning researchers and motor engineers who collaborate on a daily basis. Each team member is empowered to make meaningful contributions and broaden their responsibilities as we continuously build a culture around collaboration, transparency, autonomy, and lifelong learning. Research @ Tractable Our team helps shape the technical foundations utilized across all Tractable products, with a current focus on auto insurance and natural disaster recovery. Our mission is to harness the latest Machine Learning research to tackle challenging scientific problems essential for transforming the insurance industry (& more). We concentrate on developing mission-critical AI systems to solve some of the most complex problems in computer vision. Our innovation has already positively impacted hundreds of thousands of lives. We're an ambitious and fun team, eager to welcome someone onboard our exciting journey! Auto organization – Who we are & What we do Our organization develops products for the automotive industry and has already launched two globally sold products (Estimating, Review) to insurers. Our long-term vision is to build a platform ecosystem that enables the effortless creation of new products and use cases. W are currently working towards the creation of a reliable and safe "virtual" motor appraiser/expert as a service, which will solve numerous use cases across the automotive industry. This is being achieved by building top-quality input capture mechanisms for our users, creating a state-of-the-art damage assessment stack for auto damages, or establishing explainable and human-centric decision-making engines. We collaborate closely with engineering teams to convert our R&D prototypes into mission-critical systems. What you will do As an Applied Scientist, you will contribute to the design, development, and enhancement of AI/ML models and systems. Your responsibilities will include: - Collaborating with applied scientists, data scientists, software engineers, and product partners to develop and deliver AI/ML solutions in a production environment at scale. - Designing and developing AI/ML models, workflows, and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensuring the quality of our ML models and systems' architecture and design. - Delivering customer-facing and/or underlying AI/ML solutions that empower our platform to provide the best possible customer experience. What you need to be successful Basic qualifications - A Master's degree in Computer Science, Machine Learning, or a related quantitative field. A PhD in Computer Science or related fields with a focus on Machine Learning is highly desirable. - Extensive knowledge and practical experience in several of the following areas: machine vision (classical methods and deep learning) and information retrieval. Natural language processing is a plus. - Proven experience in building scalable AI/ML models and systems and delivering end-to-end solutions in a production environment. - Experience in programming in Python, C++, or related languages. Preferred qualifications - Publications in top-tier peer-reviewed conferences or journals or a demonstrated track record of industry 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 the end-to-end software development and lifecycle of machine learning solutions. - Excellent verbal and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization. What’s in it for you Financial benefits - Twice a year compensation reviews - Generous equity package - 5% employer match on pension Time off and flexible working - 25 days paid annual leave + bank holidays - Ability to work from abroad for up to 6 weeks/year - Competitive maternity + paternity leave - Flexible hours and hybrid working - Additional leave to support you when you need it, including sick pay, compassionate leave, or paid time-off to recharge after an intense work period. Health and wellbeing benefits - Highest tier of private health coverage through Bupa - Access to a virtual GP through Babylon - Mental health and career coaching through Sanctus - Free annual Headspace subscription Extra perks - L&D budget to use on Learnerbly (our learning platform) - Cycle to Work scheme Diversity commitment At Tractable, we are committed to fostering a diverse team and inclusive workplace where people’s varied backgrounds and experiences are valued and recognized. We encourage applications from candidates of all backgrounds and offer equal opportunities without discrimination.