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AI Startup Jobs
AI startups are building the next generation of intelligent systems - from large language models and generative AI tools to computer vision, autonomous systems, and AI-native applications. These roles offer the chance to work at the frontier of machine learning research and applied AI, shipping products that redefine what software can do.
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Browse all jobsFrequently asked questions
ML engineers, research scientists, data engineers, full-stack engineers (AI-native products), MLOps/platform engineers, and product managers with AI domain expertise. Many startups also hire applied scientists who bridge research and production.
AI startup salaries are among the highest in tech - ML engineers earn $140k–$300k+, research scientists $160k–$350k+, and AI product managers $130k–$220k. Well-funded startups compete with Big Tech on cash and offer significant equity upside.
Python, PyTorch/TensorFlow, and strong math fundamentals (linear algebra, probability, optimization) are table stakes. Experience with LLMs, transformer architectures, RAG pipelines, or reinforcement learning is increasingly in demand. Production ML skills (model serving, evaluation, monitoring) are critical.
Yes - AI startup funding has surged, with generative AI alone attracting tens of billions in investment. Demand for ML engineers and AI-focused product builders far exceeds supply, making this one of the most competitive hiring markets in tech.
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