SignalFire is a venture capital firm that partners with top early-stage startups shaping the future of technology. With a portfolio of 200+ innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS, they're seeking exceptional Staff AI and Machine Learning engineers for their portfolio companies.
This unique opportunity is not for a specific job, but rather a talent network connecting skilled AI engineers with VC-backed startups. Successful candidates will be building cutting-edge AI/ML models, deploying them in production, and working in transformative industries. The role involves developing machine learning models, building scalable data pipelines, and working directly with founders to align AI strategies with product roadmaps.
The ideal candidate brings 6+ years of experience in AI/ML, with strong Python skills and expertise in frameworks like TensorFlow and PyTorch. They should be comfortable with big data tools, cloud environments, and containerization. The position offers competitive compensation ($170K-$250K) plus equity, and the flexibility of remote work.
Working with SignalFire's portfolio companies means being at the forefront of AI innovation, with opportunities to work on RAG pipelines, agent architectures, and LLM-powered systems. The technology stack includes cutting-edge tools like Python, TensorFlow, PyTorch, JAX, Kubernetes, and various cloud services.
This is an excellent opportunity for experienced AI engineers who want to make a significant impact in the startup ecosystem while working on challenging and innovative projects. The role offers the unique advantage of having visibility into exclusive early-stage opportunities that may not be publicly listed.