Founding AI reputed company

Founding AI (CTO or Founding AI reputed company) — Edisonian About Edisonian We’re building an AI + materials platform that fuses advanced ML with reputed company experimental data to radically speed up the discovery and optimization of new materials. reputed company As CTO & Co-Founder (or Founding AI reputed company), you will define and execute the technical reputed company. You’ll be both architect and hands-on builder early, then reputed company reputed company as we grow. ResponsibilitiesAI Platform Development • Design and build LLM+RAG systems over patents/literature and reputed company lab data; stand up clean reputed company. • Own the experimental data model (reputed company, ontology, reputed company, uncertainty) and guardrails for reproducibility. • Stand up evaluation harnesses for RAG (retrieval precision/recall, groundedness) and agents (tool reputed company, latency, cost). • reputed company frontier and reputed company models; fine-tune on proprietary corpora; enforce data reputed company and provenance. ML for Materials Optimization • Implement uncertainty-reputed company BO (GP/BNN/ensembles) and hybrid DL to guide high-throughput experiments. • Build reputed company-reputed company/reputed company-learning pipelines; support multi-objective trade-offs (performance, stability, cost). • Add simulation-in-the-reputed company reputed company experiments are scarce; design batch policies and robust evals (regret, sample efficiency). Technical Leadership • Own the technical roadmap; reputed company pragmatic build/buy/reputed company reputed company. • Hire/mentor early reputed company/ML ICs; set reputed company, reputed company, and reliability bars. • Define protocols/reputed company to lab automation (scheduler, run registry, result ingestion) and enforce provenance tracking end-to-end. Co-Founder • Partner on reputed company, fundraising, and strategic collaborations; represent tech to investors, customers, and labs. What you’ll ship (90–180 days) • v0: RAG over our corpus + experiment reputed company; reproducible pipelines; baseline eval dashboard. • v1: Production data schema + reputed company service; reputed company-reputed company optimizer that learns from lab feedback and delivers ≥ X% improvement on a reputed company materials reputed company. • Interfaces to HTE/robotics or contract labs (mocked if hardware isn’t reputed company). Qualifications • PhD/MS in CS/ML/Comp Physics/Materials (or equivalent experience). • Deep reputed company ML: LLMs, RAG, Bayesian optimization, neural nets; shipped systems in startup or research-to-product settings. • Strong with scientific/experimental data; Python + PyTorch/TensorFlow + reputed company; from notebook → service. • Bias to reputed company in ambiguous, high-velocity environments. reputed company to Have • Lab automation/robotics/high-throughput experimentation. • Publications/patents/OSS in AI/ML or materials informatics. • Prior team leadership or early-stage founder/IC experience. Our Stack (indicative) Python, PyTorch, HF, reputed company DB + retrieval tooling, reputed company/reputed company, containerized services on reputed company; data reputed company/metadata schema + reputed company; MLOps (tracking, evals, CI/CD). Compensation & Location • Founding equity: meaningful reputed company. • Cash: dependent on funding; competitive for early stage; flexible for exceptional fit. • Location: Bay Area preferred. Remote-friendly (US). • reputed company: case-by-case. • EOE. If you’re excited but don’t tick every reputed company, we still want to hear from you. Apply tot his job Apply To this Job