Top AI & Machine Learning Jobs

Join as a new-grad software engineer to build scalable full-stack applications using React, TypeScript, Node.js, and Python. Work on LLMs and AI agents for sales automation, deliver features end-to-end, collaborate with product and design, and improve performance, reliability, and engineering culture.

Open call for expressions of interest across research, operations, engineering, data, and communications. Epoch AI is fully remote, hires in many countries, prefers full-time, and may require meetings during UTC-8 to UTC+1. Submit interest to be contacted for suitable openings.

Design, build, and scale ML infrastructure: ingest vehicle sensor data, create batch pipelines for dataset curation, run distributed GPU training, and ensure performance, observability, efficiency, and security across the ML pipeline while partnering with ML teams.

Build and maintain data-heavy web applications, APIs, and LLM integrations. Design and implement multi-step agentic workflows, optimize data storage and processing on PostgreSQL/AWS, develop tooling for resilient workflows, and collaborate with the CTO to launch data-driven products.

Hands-on intern building automations (Zapier/Power Automate/Make), GPT-based internal assistants, and a light RAG knowledge search. Deliver 3–5 live tools, clean documentation/SOPs, before/after time-saved metrics, and an end-of-summer demo. Onsite in Addison, IL for 10–12 weeks.

Train, fine-tune, and deploy vision-language-action and robot manipulation models across the full pipeline. Handle data curation, pre-training and fine-tuning, sim-to-real distillation, debugging, evaluation, and iterative autonomous improvement on physical robots.

Design and build the LLM orchestration layer and multi-agent workflows that enable streaming chat, tool use, memory, function-calling, and autonomous reasoning; prototype agent behaviors; integrate LLMs with frontend/backend systems; evaluate frameworks for performance, safety, and extensibility.

Lead design, development, and production deployment of ML models and GenAI/LLM solutions to optimize clinical trial workflows. Build scalable pipelines, monitoring, and CI/CD for robust production use. Collaborate cross-functionally, mentor junior engineers, and communicate technical results to technical and non-technical stakeholders.

Own and deliver end-to-end production solutions: gather requirements, design architecture, implement frontend/backend/data, orchestrate LLMs/agents, perform production cutover, and define metrics. Interface with business stakeholders and operate in ambiguous, time-sensitive field contexts.

Lead hands-on ownership of mission-critical production systems across frontend, backend, infra, and LLM tooling. Ship high-impact features, ensure scalability, reliability, and operational excellence, design and operate LLM validation loops, and raise engineering quality through durable technical decisions without people management responsibilities.