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Chief AI Scientist - AI for Mining Startup

Deep Optica

London Area, United Kingdom (Hybrid) · മുഴുവൻ സമയവും

അപേക്ഷിക്കുന്ന ആദ്യയാളാകൂ

അനുഭവം
ഏതെങ്കിലും
ശമ്പളം
ഓപ്പണിംഗുകൾ
1
പോസ്റ്റ് ചെയ്തു
10 മണിക്കൂർ മുമ്പ്
പ്രവർത്തന രീതി
ഹൈബ്രിഡ്
വിദ്യാഭ്യാസം
PhD or equivalent
പുനരാരംഭിക്കുക
അപേക്ഷിക്കാൻ നിർബന്ധം

ജോലി വിവരണം

About Deep Optica

Deep Optica is a cutting-edge AI4Science company focused on constructing a comprehensive Mining World Model. This model integrates various datasets, including geological, geophysical, geochemical, remote sensing, and drilling data, into probabilistic representations of subsurface structures. The company's data infrastructure includes over 200,000 engineered drillholes and 1,500 block models. Deep Optica delivers expert-driven exploration services alongside agent-based software, supporting miners and investors in assessing assets during early-stage exploration and transactional processes. The organization aims to demonstrate the possibilities of an AI-native mining company.

Role Overview

This full-time position is based in London and/or Shanghai with a hybrid working arrangement. The chosen candidate will join as a founding executive, shaping the scientific framework and AI research strategy of the Mining World Model. This role involves directing the AI research agenda in collaboration with co-founders and an expert scientific team comprised of PhDs and specialists from fields such as mathematics, AI, data science, and geology. The mission is to merge advanced AI techniques with in-depth domain knowledge.

Key Responsibilities

  • Monitor and assess the latest trends in AI research covering foundation models, agentic systems, probabilistic and physics-informed methods, as well as spatial and multi-modal learning, determining their applicability to the Mining World Model.
  • Design the AI architecture underpinning the World Model, focusing on transforming multi-modal geoscience data into probabilistic subsurface models while effectively quantifying and communicating uncertainties.
  • Lead the AI research team and collaborate closely with the CTO to drive research, development, and product deployment from conception through to delivery.
  • Establish scientific standards for AI operations including reproducibility, validation against empirical data, and transparent modeling of limitations.
  • Act as the technical spokesperson for Deep Optica with clients, investors, and collaborators, influencing product roadmaps and company strategy.
  • Grow and mentor a top-tier AI research division in alignment with company expansion.

Candidate Profile

  • Possess a PhD or equivalent advanced research experience in machine learning, applied mathematics, statistics, physics, or a related quantitative discipline.
  • Exhibit a profound understanding of current AI developments, capable of critically evaluating, reproducing, and distinguishing impactful innovations from hype.
  • Proven success in transitioning machine learning research projects to operational systems, preferably involving scientific, geospatial, or physical data domains.
  • Expertise in probabilistic techniques and uncertainty quantification, integral to the role.
  • Experience with at least one of the following: 3D or spatial deep learning, graph neural networks, physics-informed machine learning, foundation models, or large-scale Bayesian inference.
  • Proficient in contemporary machine learning engineering practices.
  • Demonstrated leadership capability to guide research teams and define technical roadmaps.
  • Keen interest in the physical sciences, a desire to ground models in geology, and an eagerness to collaborate with domain specialists.
  • Strong communication skills to explain model mechanics, assumptions, and uncertainties effectively to diverse audiences including non-technical stakeholders.
  • Comfortable working within multicultural and global teams.
  • Experience or exposure to mining or geosciences is advantageous but not mandatory.

Additional Information

This role offers founding executive status, granting substantial influence over setting the company's AI standards. It comes with senior executive responsibilities and includes significant equity participation. The company benefits from backing by prominent venture investors and operates across Asia, Europe, and North America.

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