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Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Applied Scientist, Conversational AI ModEling and Learning”. A match may be a passing mention rather than the job itself. Titles only.
61 roles across 67 listings · show every listing · page 1 of 3
Conversational AI ModEling and Learning (CAMEL) team is part of Amazon Devices organization where our mission is to build a best-in-class Conversational…
…Experience in building Conversational AI applications and in orchestrating AI/ML services for building a complete solution. Demonstrated initiative in learning and applying AI…
…scientists — academic labs, industry R&D teams, and research institutes — during key conversations, translating what you learn into engineering priorities Partner with product and…
…You Will Model price elasticity and willingness-to-pay across segments, geographies, and payment methods, and quantify the trade-off between margin, conversion, and…
…Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models…
…Payer Platform, claims/clinical data integration) - You understand foundation AI models and their application in healthcare LOCATION & TRAVEL This is a remote, US-based…
…Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing…
…We are seeking an Applied Scientist to help enhance and scale our support agent capabilities. You will build and improve models that power advertiser…
ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest…
…that models improve continuously based on real-world behavior. - Mentor other engineers and data scientists, share best practices in applied AI/ML, and help…
…mitigate, appeal and reversal rates, and verification step-up conversion. - Build reliable datasets and dbt models that connect product events, account and identity signals…
…and deploying AI/ML models and systems. 1+ years of experience in developing Generative AI (LLM) applications using techniques like prompt engineering, RAG, and…
…As a Principal Technical Project Manager, you’ll lead the development and delivery of planning capabilities within Ads Agent—an AI-powered conversational platform…
…Methodology and Infrastructure Predictive Modeling with Signal Loss Advanced proficiency in statistical programming (Python or R) and SQL. Experience with machine learning or optimization…
…Quantify how signal quality, match rates, identity resolution, modeled conversions, and privacy changes affect bidding efficiency, CPA, ROAS, and advertiser outcomes. Partner with modeling…
…provides services for broad range of applications including compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), security…
…About the Role As a founding Data Scientist for Pricing, you will design the analyses, models, experiments, and decision frameworks that guide pricing strategy…
…8+ years of experience leading large-scale engineering and machine learning organizations delivering AI-powered products in production. Deep experience building conversational AI, search…
…We are seeking an Applied Scientist to join our newly expanding team in India focused on Alexa Agentic/Conversational Ads and Personalization. In this…
…deploying and managing AI products at scale - Experience with end-to-end ownership of major project deliverables - Experience building machine learning models or developing…
…You'll lead and grow a team spanning Applied Scientists and Analytics/Data Engineers, set the technical vision and roadmap for the group, and…
…Collaborate with AI engineers and data scientists to understand model capabilities, limitations, and optimal UX patterns and translate that understanding into clear interaction models…
…and growing technical teams, ideally with a research background in applied ML or AI - Technical depth in applied AI systems design and model post…
…and apply graph neural networks (GNNs), foundation models, transformer architectures, and other advanced AI techniques to network telemetry, configuration, and operational data. • Drive AI…
…optimized for machine learning workflows, including feature stores, model training pipelines, and real-time inference capabilities - Partner with applied scientists and ML engineers to…