Top AI & Machine Learning Jobs

Lead end-to-end data science and machine learning initiatives, from identifying business use cases and querying data through prototyping, evaluation, deployment, and monitoring. Partner with Product, Engineering, and Machine Learning Engineering teams across areas such as risk, insurance, and payments. Develop predictive models, statistical methods, deep learning, and LLM solutions while contributing reusable data assets, tooling, MLOps strategy, technical reviews, and data-informed business decisions.

Build and own production-grade AI systems for the People function, including agentic workflows, RAG pipelines, data integrations, evaluation frameworks, and privacy controls. Partner with People, data, governance, and engineering teams to transform operational workflows, ensure reliable use of sensitive workforce data, and promote responsible AI deployment. The role requires independently translating ambiguous business needs into scalable technical solutions and enabling sustainable AI ownership across the organization.

Build and own core components of an LLM-powered agent platform: orchestration, tool integrations, APIs, knowledge/memory infrastructure, trust & safety, and evaluation tooling. Partner with Operations to translate workflows into agent capabilities, mentor teammates, and ship production-ready, scalable AI-native systems.

Join a small cross-functional team to design, build, and operate an LLM-powered agent platform: orchestration, tool integrations, APIs, knowledge/memory infrastructure, trust & safety, evaluation/testing, and partner with Operations to translate workflows into automation. Mentor other engineers and deliver production-ready systems.

Build and own core components of an LLM-powered agent platform: orchestration, tool integrations, knowledge/memory infrastructure, trust and safety, evaluation frameworks, and APIs. Partner with Operations to translate workflows into agent capabilities, operate production backend services, and mentor other engineers on a small, autonomous team.

Build and own core components of an LLM-powered agent platform: orchestration, integrations, knowledge/memory infrastructure, trust and safety, evaluation/testing, and APIs. Partner with Operations to translate workflows into agent capabilities, mentor engineers, and ship production-grade backend systems.

Build and own core components of an LLM-powered agent platform: orchestration, integrations, knowledge/memory infrastructure, trust and safety, evaluation/testing, and partner with Operations to turn workflows into automated agent capabilities. Mentor engineers and ship production-ready AI-native backend systems.