if needed What You'll Bring Bachelor's or Master's degree in a relevant field such as artificial intelligence, machine learning, human-computer interaction (HCI), computational linguistics, computer science, cognitivescience, education, instructional design, learning science, or digital technology Minimum 3-5 years' experience in learning experience design, with a focus on applying AI to More ❯
as a tool to understand the human world. (Desirable) Experience or strong interest in multi-agent systems, agent-based modeling (ABM), or game theory. MS or PhD in Computer Science, Machine Learning, Computational Social Science, or a related quantitative field, or equivalent practical experience. (Desirable) Hands-on experience with advanced LLM application techniques like RAG, chain-of-thought … and agentic tool use. Deep experience in applying large language models (LLMs) to solve complex, open-ended problems. (Desirable) Experience designing and conducting experiments in a social science or human-computer interaction (HCI) context. Strong proficiency in Python and common ML libraries/frameworks (e.g., PyTorch, JAX, TensorFlow, Hugging Face). (Desirable) A track record of publications in relevant … reliable and scalable systems to test complex hypotheses. (Desirable) Experience deploying ML-driven applications into production environments. A keen interest and/or background in principles of human behavior, cognitivescience, psychology, or social dynamics. Excellent communication skills, with the ability to articulate complex technical and experimental concepts clearly. What the job involves As a Research Engineer at More ❯
goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance). About the team The … for Alexa, in order to provide the best-possible customer experience for our customers. BASIC QUALIFICATIONS PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitivescience 10+ years of combined academic and research experience with a strong publication record in top-tier journals and conferences. Functional thought leader, sought after for key tech … leader for machine learning will be an independent thinker who can make convincing, information-based arguments. With a strong bias for action, this individual will work equally well with science, engineering, economics and business teams. This person will have very sound judgment and be able to recruit and groom high caliber talent. Amazon is an equal opportunities employer. We More ❯
to educational experiences on par with Oxford, Cambridge, CalTech, et cetera. We believe that this can be achieved with a new class of learning tools, which combine advances in cognitivescience, language models, and datasets. We are building these tools in England. Our first product, Grasp Concepts , enables students to disambiguate and learn concepts through great online explanations … Infra: GCP, k8s 3-5 years programming and software engineering in industry , working with Python. 2+ years researching and developing AI based features. Bachelors degree or higher in Computer Science, Physics, Mathematics, Electronic Engineering, or similar. Reasonable London salary Employee options scheme (EMI) Office-based team Access to all Grasps learning tools for your personal self-study Dinner/ More ❯
to educational experiences on par with Oxford, Cambridge, CalTech, et cetera. We believe that this can be achieved with a new class of learning tools, which combine advances in cognitivescience, language models, and datasets. We are building these tools in England. Our first product, Grasp Concepts , enables students to disambiguate and learn concepts through great online explanations … built (as an individual contributor) systems involving LLM pipelines as components. Ability to translate high-level strategic objectives into technical roadmap with regular milestones. An advanced degree in Computer Science, Physics, Applied Mathematics, Electronic Engineering, or similar. Reasonable London salary Employee options scheme (EMI) Office-based team Access to all Grasps learning tools for your personal self-study Dinner More ❯
