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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Applied Scientist, Conversational Assistant Modeling and Learning”. A match may be a passing mention rather than the job itself. Titles only.
107 roles across 111 listings · show every listing · page 4 of 5
…We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a…
…into high-quality learning targets, and deploy models that remain robust under delayed conversions and shifting marketplace dynamics. Engineers and scientists on the team…
…We are seeking an Applied Scientist to join our newly expanding team in India focused on Alexa Agentic/Conversational Ads and Personalization. In this…
…What You'll Do Design, build, and ship machine learning models that optimize messaging across push, email, and in-app channels Plan and run…
…scientists, clinicians) to integrate medical insights into AI models. - Write, review, and optimize prompts to improve AI model performance in clinical contexts. - Build and…
…compelling new conversational features for Siri interactions. Build end-to-end model training and evaluation pipelines. Deploy machine-learned, on-device models that are…
…extraction, recommender systems or conversational AI and dialogue systems 10+ years of experience in applied science or machine learning, with at least 3 years…
…This includes applying ML, AI-assisted workflows, and GenAI where appropriate to improve metadata quality, merchant tooling, and operational efficiency. You’ll partner closely…
…Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep. Collaborate actively with engineers to apply ML / AI…
…You will collaborate with product managers, data scientists, and platform engineers to implement end-to-end AI pipelines, including model development, deployment, and optimization…
…Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing…
…Establishes repeatable approaches for assessing and improving data usability for modeling, experimentation, and operationalization. Drives conversations with customers and internal stakeholders on data integrity…
…and applied science to ensure the team can move quickly and confidently from raw data to credible insight. You will partner with research scientists…
…If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting…
…Relocation assistance is available for candidates willing to move to New York City. We value people who want to learn new things, and we…
…Knowledge of machine learning concepts and their application to reasoning and problem-solving - Experience in a ML or data scientist role with a large…
…Practical modeling skill, especially as applied to marketing and growth: cohorting, forecasting, LTV estimation, saturation and diminishing returns, MMM concepts, calibration and monitoring. - Track…
…We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a…
…As an Engineering Manager I in Applied AI, you will lead a team of engineers and applied scientists working on one of these challenges…
…world application: - Push the boundaries of reinforcement learning and post-training methodologies for large language models specialized in code intelligence - Invent and implement state…
…channel performance, creative learning, funnel conversion, landing experiences, and attribution. - Incrementally and causal measurement: designing tests and analyses that distinguish correlation from true impact…
…Your contributions will span model architecture, data curation, training and inference infrastructures, evaluation protocols, alignment and reinforcement learning from human feedback (RLHF), and many…
…Your contributions will span model architecture, data curation, training and inference infrastructure, evaluation protocols, alignment and reinforcement learning from human feedback (RLHF), and many…
…with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple’s…
…Design and implement AI agent architectures leveraging state-of-the-art language models and associated technologies. Collaborate with research scientists on scalable experiments and…