…You'll partner closely with scientists developing and fine-tuning large language models, engineers building low-latency inference infrastructure, and product teams defining customer…

…Guide the work of at least two data scientists, raising the bar on technical quality, execution, and impact through candid, continuous feedback and coaching…

…Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring Data Scientist: Experience with the latest…

…ABOUT THE ROLE We're looking for the first dedicated Data Scientist to partner with the Identity organization. In this role, you will define…

…We're looking for a Data Scientist to join Discovery Mode within the Music Mission. Discovery Mode is a tool for artists and music…

…ML-for-systems community. And you will help shape the science roadmap for autonomous database operations while mentoring fellow scientists and engineers. About the…

…ROLE OVERVIEW As a Product Data Scientist, you will be a core member of Harvey's product development organization and one of the foundational…

…Partner closely with product managers, engineers, data scientists, and designers to define and execute experimentation strategies. Drive A/B testing, monitoring, model evaluation, and…

…We are looking for a Data Scientist to join our marketing org. As a Data Scientist you introduce greater scientific rigor into the marketing…

…Expertise in heterogeneous inference platforms supporting LLMs, SLMs, wide & deep models, ensembles, graph models, classical ML models, heuristics, and rules engines. Experience with entity…

…Inferentia, SageMaker, EKS, PCS, EC2) to shape product vision, prioritize features, and represent the voice of the customer - Work with account teams, research scientists…

…We are a team of interdisciplinary scientists who combine causal inference, economic modeling, and machine learning to drive measurable business impact. We are looking…

…Partner with Business Stakeholders, Product Engineering, and Data Scientists/Data Engineers to understand data needs and translate complex business requirements into technical data solutions…

…Partner closely with ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable…

…B testing, causal inference, and data-driven insights to continuously improve our systems. Key job responsibilities As a Data Scientist, you will be responsible…

…testing, causal inference, and data-driven insights to continuously improve our systems. Key job responsibilities Key job responsibilities As a Data Scientist on our…

…You will partner with Solution Architects and other Data Scientists in the field, providing guidance on their customer engagements, and you will develop white…

…guidance • Communicating effectively across multiple stakeholders; making strategic trade-offs balancing velocity with long-term system health • Partnering closely with Applied Scientists to translate…

…prompts, retrieval, evaluation, inference) and can discuss the engineering trade-offs involved. Demonstrated experience partnering with applied scientists, data scientists, or researchers — you can…

…quality datasets that support business analysis, customer reporting, and AI/ML feature engineering Partner with scientists and application engineers to ensure data infrastructure meets…

…Key job responsibilities * Improve the efficiency of LLM, VLM, and agent training and evaluation pipelines, including distributed training, inference serving, data loading, checkpointing, memory…

…As a Data Scientist within Data Insights, you will work on high-impact problems that influence product strategy, business performance, advertiser outcomes, and marketplace…

…team of outstanding machine learning scientists to co-develop methods of extracting insights from in-vitro microscopy datasets - Work closely with laboratory leadership to…

…can move adoption, and where support should focus. - Build, mentor, and lead a small team of data scientists and cross-functional analytics partners as…

…This includes training and optimizing deep learning models for visual recognition tasks, building data pipelines that continuously improve model performance, and designing inference systems…