…models including classification models, predictive models, and recommendation systems to identify patterns in financial transactions, credit bureau data, and operational data. Research and evaluate…

…Senior Principal Applied Scientist, you will provide technical leadership for complex, high-impact initiatives. You will establish scientific and technical direction, lead research and…

…We are a close-knit team of highly accomplished, deeply technical research scientists and machine learning engineers passionate about delivering innovative technologies that benefit…

…Mentor senior engineers and applied scientists on building reliable, scalable, and reusable evaluation infrastructure. Stay current with LLM evaluation methods, agentic systems, RAG evaluation…

…You can engage deeply with scientists on evaluation methodology, data quality, and model behavior, and equally deeply with engineers on architecture, inference latency, and…

…collaboration with researchers, engineers, and scientists across the organization Develop a working understanding of the ML experiments being supported, including model objectives, data requirements…

…Evaluate, integrate, and iterate on AI systems — assess new AI/ML tools, frameworks, and third-party models for applicability to seller intelligence use cases…

…models, and reinforcement learning, you will collaborate with a team of scientists to invent novel, generative AI-powered experiences. This role involves defining research…

…initiatives, balancing frontier research with production delivery requirements and customer timelines Lead rigorous model development processes including algorithm selection, offline evaluation, A/B testing…

…senior scientists on novel problem spaces. • Contribute to GenAI and Agentic AI solutions that automate supply chain workflows; implement model components, pipelines, and evaluation…

…As a Senior Applied Scientist , you will lead the development of state-of-the-art AI solutions spanning recommendation systems, forecasting, anomaly detection, insight…

…research, security operations, insider risk, identity and access management, or privacy-preserving security analytics. - Familiarity with AI agents, large language models, model evaluations, automated…

…the organization. Evaluate tradeoffs between user experience, engagement, and monetization to support long-term business growth. Communicate insights clearly to senior stakeholders and influence…

…multimodal modeling, agentic systems and tool use, computer vision, speech, or foundation model post-training and evaluation. Publication and research record commensurate with seniority…

…Key job responsibilities Model Architecture & Inference Co-Design • Partner with research scientists to make model architectures servable from inception — surfacing the latency, memory, and…

…Research, design, implement, and evaluate analytical approaches and models, including GenAI-based methods. Perform exploratory statistics and data mining tasks on diverse datasets. Communicate…

…As a Senior Applied Scientist on our team, you will advance auction mechanism design by extending proven approaches to new markets and developing new…

…Data Scientist to join our data science team. In this role, you will leverage your deep expertise in machine learning, statistical modeling, and data…

…We are seeking an exceptional Senior Lead Data Scientist to lead large-scale, cross-functional initiatives that are critical to Compass. In this role…

…chunking strategies, embedding model selection, retrieval optimisation, and quality evaluation. - Own the full AI-product lifecycle: prompt design, context and state management, agentic loops…

…This data scientist will perform careful hypothesis generation, causal inference framework development, and model development/evaluation to ideate and drive payment strategies on our…

…senior scientists to deliver machine learning and generative AI products that carry real degrees of ambiguity, scale, and complexity. - Design, build, and evaluate agentic…

…replacing manual security operations with software, building the evaluation and backtesting infrastructure that proves a model or detection is correct before it is trusted…

…You will set the bar on model alignment, evaluation, and the interaction patterns that make automated decisions trustworthy at scale, and you will identify…

…run experiments to validate ranking models and summary quality, and partner closely with Data Scientists on model evaluation — including LLM-as-a-Judge quality…