16 results
FiltersSeeking an AI Researcher who will help translate the latest machine learning research into practical, domain-specific proofs of concept (POCs). Working on the CivCheck platform, you will be at the forefront of building and experimenting with cutting-edge models across computer vision, large language models (LLMs), multi-modal learning, and agentic AI workflows.
Lead the development of cutting-edge natural language processing solutions for our Ukrainian LLM project. You will lead our NLP team in designing, implementing, and deploying large-scale language models and NLP algorithms that power our products. This role is critical to our mission of advancing AI in the Ukrainian language context, and offers the opportunity to drive technical decisions, mentor a team of data scientists, and shape the future of AI capabilities in Ukraine.
At Enveda, this Data Science Intern role drives impact by delivering hope to patients. Your expertise in data analysis, machine learning, and computational biology will be critical in accelerating our mission to develop data-driven solutions tailored toward the drug discovery industry.
Experian is looking for a Data Scientist to join our Global Analytics team within Experian Software Solutions. This is an exciting opportunity for someone to work on impactful AI and machine learning projects and contribute to solutions. You will help build and support machine learning models and AI systems that power Experian's products and services. You will work remotely and report to the Senior Director of Analytics and AI.
Design and deliver machine learning solutions that combine modern research with practical deployment. Contribute to building robust models that power client-facing tools and internal platforms. Integrate models into deployable systems operating in production environments. Engage with stakeholders to frame ambiguous problems, explore solution paths, and translate technical insights into practical outcomes.
Conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing. Run large-scale experiments with access to Spotify’s extensive infrastructure. Collaborate as part of a cross-functional team to craft innovative solutions to complex challenges, pushing the boundaries of what’s possible in listening experiences.