Top Tech Jobs & Startup Jobs

Drive research and engineering for LLM and multi-modal pre-training at scale. Design and prototype architectures, build data pipelines, run large distributed training on multi-node GPU clusters, debug optimization/bottlenecks, and improve cross-modal alignment and efficiency through experiments and system scalability improvements.

Drive architecture development and large-scale pre-training for LLMs and multi-modal models. Design cross-modal alignment layers, curate massive datasets, run distributed training on multi-node GPU clusters, execute experiments, debug efficiency bottlenecks, and scale training systems for optimal performance.

Drive research and engineering for large-scale LLM and multi-modal pre-training: design architectures, curate massive datasets, run distributed training on multi-node GPU clusters, optimize model efficiency and alignment, debug long training runs, and scale distributed training systems to improve cross-modal performance.

Drive research and engineering for large-scale LLM and multi-modal pre-training: design architectures and tokenizers, curate massive datasets, run distributed training on multi-node GPU clusters, optimize efficiency, debug training bottlenecks, and advance cross-modal alignment and scalability.

Lead pre-training and research for LLM and multi-modal models at large scale: design architectures, curate datasets, run distributed training on multi-node GPU clusters, optimize performance, debug bottlenecks, and advance cross-modal alignment and token efficiency.

Drive research and engineering for large-scale LLM and multi-modal pre-training: design architectures, curate massive datasets, run distributed training on multi-node GPU clusters, optimize performance, and advance cross-modal alignment and efficiency.

Drive research and engineering for large-scale LLM and multi-modal pre-training: design architectures and alignment layers, curate massive datasets, run and optimize distributed training on multi-node GPU clusters, debug performance bottlenecks, and scale training systems for efficiency and cross-modal capabilities.

Lead regulatory and licensing strategy for Francophone Africa: monitor regulatory developments, engage regulators and policymakers, prepare policy submissions, manage licensing applications, advise internal teams on regulatory risk, coordinate responses to supervisory reviews, and represent the company in industry consultations to enable market expansion and product launches across CEMAC and UEMOA/WAEMU jurisdictions.

Lead end-to-end program management for mining initiatives in Central America, coordinating multidisciplinary teams, permits, budgets, and stakeholder engagement. Define scope, milestones, governance, and KPIs; manage risks, budgets, vendors, compliance, and executive reporting to deliver exploration-to-operations projects.

Perform technical and commercial due diligence on mining assets, build and maintain financial models (DCF, NAV, comps), analyze resource/reserve statements, evaluate project economics and structured financing, prepare investment memoranda and pitch materials, monitor commodity and M&A trends, support deal execution, and assess geopolitical, permitting, environmental and ESG risks.