…an Applied Scientist to build Alexa+, Amazon's LLM-powered conversational assistant. You will work on key initiatives spanning large language model fine-tuning…

…to-end, from modeling and retrieval to evaluation and launch, working alongside applied scientists, data engineers, and the Seller Assistant platform team to put…

…You’ll help deliver intraday transaction insights, anomaly detection, forecasting, and conversational analytics supported by a governed metrics foundation. As a Data Scientist Senior…

…and onboard new data scientists, and invest in the tooling and automation that let the team scale beyond headcount alone Guide career growth conversations…

…Design the workflows, tooling, and model-assisted steps that make it count. - Make representative benchmarking possible. Build the curated datasets and methodology that let…

…application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance…

…B tests) to validate impact and measure outcomes Partner with data scientists and machine learning engineers across the model lifecycle from problem framing through…

…HINGE HEALTH HYBRID MODEL We believe that remote work and in-person work have their own advantages and disadvantages, and we want to be…

…and scientists to build scalable solutions for our conversational assistant. You'll dive into data analysis, experiment with novel algorithms, and iterate on models…

…Learning GTM decision systems spanning Sales and Marketing. • Develop pipeline forecasting methods that model stage progression, conversion, deal timing • Build account, lead, opportunity, and…

…We are an interdisciplinary team of engineers and scientists, learning from each other and collaborating to create the best models. We are looking for…

…We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. To succeed in…

…Apply advanced ML techniques (e.g., embedding-based clustering, representation learning, perturbation analysis) to systematically map error taxonomies and latent failure manifolds in model…

…Driving algorithmic and modeling improvements to the system using primarily deep learning techniques from NLP and computer vision, including the latest LLM models. Deploying…

…Pushing the boundaries of applied NLP and LLMs to understand deep customer dynamics, foresee market trends, and transform raw, noisy conversations into structured, actionable…

…Lead and grow a team of Applied Scientists researching, prototyping, and industrializing AI/ML capabilities across the suite Define the technical vision and roadmap…

…experiences, conversational shopping, and AI-assisted commerce scenarios. Drive measurable improvements in customer satisfaction, engagement, relevance quality, and business outcomes. Mentor scientists and engineers…

…applied research, strong modeling expertise, good software engineering skills and a desire to get things done. Masters or PhD in Computer Science, Machine Learning…

…and refine NLU models and LLMs based on conversational design principles and industry best practices. Work closely with cross-functional teams, including data scientists…

…As a regional leader and peer to Scale’s existing Forward Deployed leadership, you will manage and grow multidisciplinary teams of applied scientists and…

…If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting…

…If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting…

…Experience partnering with Applied Scientists or Machine Learning engineers to bring ML capabilities into production. Familiarity with evaluation frameworks, experimentation, and quality frameworks for…

…Amazon offices. - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research…

…conversational assistant. Our team works at the intersection of large language models, reinforcement learning from human feedback and verifiable rewards, agentic architectures, and multilingual…