Top AI & Machine Learning Jobs

Lead and grow an engineering team building agentic AI applications. Stay hands-on writing and reviewing code, define platform architecture and technical strategy, ensure AI evaluation/observability/guardrails, hire and coach engineers, partner with product and stakeholders, and shape AI-native engineering practices and delivery for a greenfield product.

Build and ship full‑stack, production AI-native features that use agentic LLMs to reason, plan, call tools, and act. Implement backend/frontend solutions, agent orchestration, RAG, observability, guardrails, and collaborate across distributed teams to deliver reliable, tested product functionality.

Build and scale agentic AI applications end-to-end: design, implement, deploy, and iterate full-stack features. Implement agent orchestration, tool calling, RAG workflows, observability, and guardrails. Partner with product, design, data, and business teams; contribute to architecture and mentor engineers. Support production reliability, including possible on-call rotation.

Develop scalable, high-quality conversational search experiences using React and Java, mentor engineers, and collaborate on significant projects in AI-driven home search.

Design, develop, and deploy machine learning platforms and services. Collaborate with data scientists, build model-hosting services, create data pipelines, run simulations, and monitor ML application performance.

Design, build, and operate an internal AI platform and developer tooling: maintain Spring-based microservices scaffolding, architect an AI gateway and plugin marketplace, enforce cost and security guardrails, integrate AI into developer workflows, and support engineering adoption and on-call production reliability.

The Data Scientist performs data analysis and modeling to derive actionable insights, develops predictive models, and collaborates on data management projects.

Lead and mentor a team of data scientists, applying machine learning and statistical analysis to solve complex business problems while aligning with organizational strategies.