The Data Science Intern role bridges the gap between data science and software development, offering an opportunity to contribute to the design, training, and deployment of advanced deep learning models. The team’s primary focus is on data classification: categorizing the contents of diverse data sources, including database tables, semi-structured data, and text, to detect data with special security and privacy requirements. The successful applicant will contribute to a central feature of a new workflow automation platform with applications in healthcare, higher education, and beyond. This is a remote position, with occasional in-person meetings.
Understand business requirements and identify opportunities for AI integration in generative chatbot solutions. Analyze large datasets to extract meaningful insights, patterns, and trends relevant to the development and improvement of generative AI chatbots. Continuously monitor and evaluate the performance of generative AI chatbots, making data-driven decisions to optimize and enhance their capabilities.
Lead and scale the data science function, building a high-impact team that drives data-driven decision-making, AI-powered optimization, and business intelligence across the company. Work cross-functionally with Product, Engineering, and Business teams to develop models that enhance pricing, personalization, fraud detection, and operational efficiency. Define and execute the vision and roadmap for Data Science at Engine.
Shape the digital workplace of the future for our customers as an AI Developer. You will solve complex data challenges and develop innovative solutions in the Google Cloud Platform (GCP). Enjoy a wide range of exciting projects from chatbots to complex quality assurance systems in manufacturing, and collaborate with an experienced and dynamic team.
Develop state-of-the-art models for information retrieval as part of our Search team. Focus on advancing semantic search techniques to improve accuracy and efficiency, involving working with a wide range of novel technologies. Collaborate with other teams to integrate your work into our search infrastructure. Engage in research collaborations and publish your work in top-tier conferences and journals.
Leverage advanced machine learning techniques to deliver cutting-edge solutions that directly impact our global platform and user experience. Work with large-scale data to solve complex problems, from improving search relevance to personalizing recommendations, and create a powerful, seamless experience for our users. Contribute to the innovation at the world’s largest work marketplace.
This is a unique opportunity to help develop and shape Spotify recommendations. You’ll grow your skills in engineering at scale, work with a cross-functional team of Machine Learning Engineers, Backend Engineers, Data Engineers, and researchers, and join a super motivated and supportive team. You'll work with large-scale data pipelines and develop new data pipelines to meet emerging needs. You will also collaborate with other engineers to develop monitoring tools.
As a Senior Data Scientist at ShiftKey, you’ll play a key role in shaping the future of our data science function and driving innovative solutions across both our Marketplace and SaaS products within the Healthcare space. You will lead the development and deployment of advanced machine learning models, delivering actionable insights that fuel growth and operational efficiency.
Join the AI research team at Truveta and contribute to innovative projects in Deep Learning using Structured and Unstructured data that demand cutting edge use of encoding and Transformer based modeling including LLMs. Collaborate with researchers and engineers to design, develop, and refine deep learning models using Structured, Unstructured, and multi-modal data for various applications. Implement, train, and fine-tune deep learning models on large-scale datasets.
Looking to build a future where open source AI is the de facto standard? Spend some time at Mozilla.ai, working with our team of mission-driven ML and engineering experts on creating that future. We’re looking for practical, application-driven researchers to join our team for a fixed period of time. This role is best suited to a PhD student seeking an internship/project; a recent PhD graduate or an Applied Scientist working in tech companies interested in a short-term project.