Jobs at Tether.io

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.

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.

As an AI Research Engineer, you'll optimize model serving and inference architectures for AI systems to enhance performance across diverse environments, ensuring efficiency and scalability in real-world applications.

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.

Build and maintain the Bare runtime and native modules across platforms. Write C native addons bridging platform APIs into JavaScript, maintain cross-platform build toolchains and CI, debug platform-specific issues, extend runtime core, and write tests. Collaborate with product teams and document work.

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.

Design, build, and scale backend services and APIs (Node.js) for blockchain and tokenization infrastructure. Integrate with Ethereum/EVM networks, improve system scalability, reliability, observability, and operational tooling, and collaborate with product and engineering teams to implement secure, high-availability financial systems.

Design, build, and scale backend systems and APIs for tokenization and financial infrastructure. Implement blockchain integrations, token transaction workflows, permissions frameworks, and operational tooling. Improve scalability, observability, deployment automation, and platform reliability. Collaborate cross-functionally to translate product requirements into secure, high-availability backend solutions and contribute to architecture and engineering best practices.

Design, build, and scale backend services and APIs in Node.js for high-availability financial and tokenization infrastructure. Work on blockchain integrations, token operations, permissions and transaction workflows, observability, deployment automation, and reliability improvements while collaborating cross-functionally to translate product requirements into secure, scalable systems.

Develop and maintain the Bare runtime and native modules by writing C native addons that bridge platform APIs into JavaScript, manage cross-platform build/CI pipelines (macOS, Linux, Android, iOS), debug across devices, write tests, and collaborate with product teams and the community.

Perform technical and commercial due diligence on mining assets and companies, build financial models (DCF, NAV, comparables), analyze resource/reserve statements, evaluate project economics and structured finance options, prepare investment memoranda and presentations, monitor market and M&A activity, assess ESG and permitting risks, and support deal execution with legal and technical teams.

Design, build, and scale backend Node.js services and APIs for high-availability fintech systems. Implement blockchain integrations, tokenization workflows, permissions and operational tooling. Improve scalability, observability, deployment automation, and collaborate with product and engineering teams to translate requirements into reliable infrastructure.

Conduct technical and commercial due diligence on mining assets, build financial models (DCF, NAV, comparables), evaluate resource statements and project economics, prepare investment memoranda and presentations, monitor commodity markets and M&A activity, support deal execution, and assess permitting, ESG, geopolitical, and structured financing risks and instruments.

Design, build, and scale backend services and APIs in Node.js for high-availability financial and tokenization infrastructure. Work on blockchain integrations, token workflows, permissions, observability, deployment automation, and platform reliability while collaborating with cross-functional teams to translate product requirements into robust technical solutions.

The Engagement Manager will lead AI implementations, coordinate stakeholders, manage client engagements, and oversee project delivery using QVAC technologies.