Founding AI Engineer - San Francisco, California

MissionHires is hiring a Founding AI Engineer to own end-to-end ML research and productionization for cutting‑edge Computer Vision and Document AI. You’ll design and deploy state‑of‑the‑art models for parsing unstructured enterprise data, build scalable data/evaluation pipelines, lead architectural improvements (including VLMs and 3B–7B models), and partner directly with the founders on product and technical strategy. This is an in‑person role in San Francisco with high ownership, fast iteration, and meaningful equity. Responsibilities Own the full ML research lifecycle: problem formulation, experimentation, model training, evaluation, optimization, and deployment Design and improve state‑of‑the‑art Computer Vision and Document AI models for unstructured enterprise data Lead architectural improvements to vision models and VLM‑based document understanding systems Build scalable data pipelines and evaluation frameworks to continuously measure and improve performance Transition research prototypes into reliable, production‑grade systems in collaboration with engineering Establish best practices for experimentation, reproducibility, benchmarking, and iteration Work directly with founders to shape product direction and long‑term technical strategy Contribute to research credibility through publications, benchmarks, or open‑source contributions when appropriate Requirements Master’s or PhD in Computer Science, Computer Vision, Document AI, or closely related field (top‑tier institution preferred) Strong academic research background; multiple relevant publications preferred Up to 6 years post–Master’s/PhD experience with end‑to‑end ML research ownership Experience in 0‑to‑1 startup environments with high ambiguity and rapid iteration Background at a leading research lab (e.g., DeepMind, FAIR, Microsoft Research, OpenAI, Anthropic) strongly preferred Deep expertise in Computer Vision, Document AI, multimodal learning, or related domains Proven experience building or significantly improving model architectures (beyond fine‑tuning) Experience with smaller foundation models (approximately 3B–7B parameters) Strong Python proficiency and familiarity with modern ML frameworks Experience training and deploying models for parsing and understanding unstructured data Hands‑on experience building evaluation pipelines and integrating models into production systems Comfort moving between theory, experimentation, and production deployment Strong product intuition with ability to prioritize research for business impact High ownership mindset and bias toward action Willingness to work in person and commit to an early‑stage company’s intensity Benefits Competitive base salary: $200K–$300K Meaningful equity ownership: 0.1%–1% Visa sponsorship available for exceptional candidates (including new H1B applications) Opportunity to shape the technical foundation of a high‑growth AI company. #J-18808-Ljbffr