Top AI & Machine Learning Jobs

The AI Automation Senior Lead will build AI infrastructure, evaluate AI tools, redefine workflows, and maximize efficiency across teams at Taskrabbit.

The Sr. Data Scientist will utilize statistical and machine learning techniques to solve healthcare-related problems and enhance predictive modeling across products, collaborating closely with various teams.

Design and implement multi-step agentic AI workflows (orchestration, retrieval, tool use, state management) using frameworks like LangGraph/LangChain. Build retrieval pipelines over proprietary CRE data, evaluate and monitor model quality with human-in-the-loop processes, integrate Anthropic models on AWS Bedrock, implement guardrails and observability, and rapidly prototype features with Product and Design to deliver trustworthy, source-linked AI capabilities that perform real business actions.

Build a zero-to-one AI-native go-to-market platform embedded with revenue teams. Define architecture, ship prototypes to production, iterate on LLM-driven agentic orchestration and automation, and measure success by business outcomes while ensuring security and supportability.

Lead AI product strategy and roadmap for Spectrum News. Translate editorial and business needs into product requirements, collaborate across teams, guide development of personalization, recommendations, discovery, and newsroom productivity AI features, ensure responsible AI governance, measure impact with analytics, and communicate vision to stakeholders.

Own the generation side of Document Intelligence by designing prompts, schemas, validators, multimodal context assembly, and model-selection strategies. Build evaluation datasets and rubrics, monitor factuality and quality, identify regressions, and ship reliable LLM features into production. Work with video, PDF, audio, and image inputs to generate validated maintenance entities while balancing quality, cost, and latency.

Design, implement, and maintain production LLM agent pipelines, MCP integrations, and RAG systems using Python (FastAPI, LangChain) and TypeScript/React. Use AI-assisted tools (Claude Code) daily, participate in code reviews, write unit/integration tests, diagnose and fix production issues, translate requirements into production-ready code, document architecture and APIs, and contribute to planning and system design improvements.

Design and build scalable, high-performance conversational search features using React and Java integrated with LLMs. Lead multi-person projects, balance infrastructure and pragmatic solutions, mentor engineers, evaluate AI tools/models, collaborate with product/design, and participate in on-call rotation to ensure reliability and performance.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, including LLM inference infrastructure, RAG, AI agents, and evaluation/observability. Design and run experiments (A/B tests), optimize systems for production performance and reliability, and iterate rapidly with product and design partners.

Early-career software engineer building AI-native, agentic systems. Design, implement, test, deploy production solutions using AI-assisted tools. Contribute reusable foundations, participate in design/code reviews, and iterate on systems with attention to observability, state management, and inference cost.