Staff Machine Learning Engineer - VC Backed Startups

SignalFire is a leading venture capital firm that partners with innovative early-stage startups across various technology sectors including AI, cybersecurity, healthtech, fintech, and enterprise SaaS. With a portfolio of over 200 companies, SignalFire is creating a unique opportunity for Staff Machine Learning Engineers to join their talent network.

This position is designed for exceptional AI and Machine Learning engineers who are passionate about joining high-growth startups as founding or early team members. The role requires a strong technical background with at least 6 years of experience in AI/ML, deep learning, or applied AI. You'll be working on cutting-edge technologies, developing and deploying ML models, building scalable data pipelines, and implementing state-of-the-art AI methodologies.

The ideal candidate will have extensive experience with Python and modern ML frameworks, big data tools, and cloud environments. You'll have the opportunity to work directly with founders, shaping AI strategies and product roadmaps. The position offers competitive compensation ranging from $170K to $250K, plus equity, reflecting the senior level of the role.

By joining SignalFire's Talent Network, you'll gain exclusive access to opportunities within their portfolio companies. This is not a traditional job application, but rather a chance to be connected with innovative startups that are actively hiring AI/ML talent. The hybrid work environment in the Bay Area provides flexibility while maintaining collaborative opportunities.

This is an excellent opportunity for experienced ML engineers who are excited about the startup ecosystem and want to make a significant impact in transformative industries. Your expertise will be crucial in building next-generation AI systems, including RAG pipelines, agent architectures, and LLM-powered systems.