Jobs at Tether.io

Drive end-to-end research and engineering on vision-language and multimodal models: data curation, training pipelines, post-training workflows (fine-tuning, distillation, RLHF), efficiency and deployment optimizations, distributed GPU training, evaluation frameworks, and publishing research.

Conduct end-to-end research and engineering on multimodal vision-language models: data curation, post-training workflows (fine-tuning, distillation, RLHF), evaluation, efficiency optimization, and distributed GPU training to deliver deployable, benchmark-leading systems and publish findings.

Research and engineer vision-language multimodal models end-to-end: data curation, training pipelines, post-training workflows (SFT, distillation, RLHF), efficiency and compression for deployability, distributed GPU training, evaluation frameworks, and publishing research.

Research and engineering of vision-language multimodal models across the full lifecycle: data curation, training, fine-tuning (including RLHF and distillation), evaluation, efficiency optimization, distributed GPU training, and publishing research. Drive deployable, resource‑efficient models and production-ready training workflows.

Lead end-to-end program management for mining initiatives in Central America, integrating exploration, technical studies, permitting, and operations readiness. Define scope, budgets, milestones, and governance; coordinate multidisciplinary teams and external consultants; manage government, regulator, and community relations; drive ESG-aligned stakeholder engagement; monitor risks and budgets; and produce executive reporting while ensuring regulatory and HSE compliance.

Lead end-to-end program management for mining initiatives in Central America, coordinating exploration, permitting, technical studies, operations readiness, stakeholders, and regulators. Define scope, budgets, milestones, and governance; manage multidisciplinary teams and external consultants; oversee budgets, CAPEX tracking, vendor management, HSE compliance, risk mitigation, KPI reporting, and executive updates.

Lead end-to-end program management for mining initiatives in Central America, coordinating multidisciplinary teams, permitting, stakeholder and government engagement, budgets, risk mitigation, governance, KPIs, and ensuring regulatory, HSE, and ESG compliance across multiple interrelated exploration and development projects.

Lead end-to-end program management for mining initiatives in Central America, coordinating exploration, permitting, technical studies, and operational readiness. Define scope, budgets, milestones and KPIs; manage multidisciplinary teams, vendors, and government/community relationships; monitor risks and compliance with regulations, HSE and international mining standards; produce executive reporting and drive program delivery.

Lead end-to-end program management for mining initiatives in Central America, coordinating multidisciplinary teams, permits, budgets, and stakeholder/community engagement. Define scope, track risks, establish governance and KPIs, ensure regulatory and HSE compliance, and deliver executive reporting for multiple interrelated exploration, development, and operations-readiness projects.

The Financial Analyst manages vendor payments, tracks expenses, oversees receivables, performs reconciliations, prepares financial reports, and implements process improvements.

As an AI Research Engineer, you will focus on model compression techniques to enhance performance of AI systems, ensuring efficient deployment on edge devices while maintaining accuracy.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.

As an AI Research Engineer, you will optimize AI model serving and inference architectures, enhancing performance across various environments, focusing on efficiency and scalability.

Drive innovation in model compression and efficient deployment for multimodal AI systems. Focus on reducing model footprint and enhancing performance on resource-constrained edge devices.

The AI Research Engineer will innovate in model compression for multimodal AI systems, focusing on reducing model size and computational cost while ensuring high performance across edge devices.

As an AI Research Engineer, you'll optimize model deployment and inference architectures for AI systems, enhancing performance across various applications, especially on resource-constrained devices. Responsibilities include designing efficient serving architectures, conducting inference tests, and collaborating with teams to integrate solutions.

As an AI Research Engineer, you will innovate in model compression techniques for large multimodal AI systems, focusing on efficiency and model deployment.

Join Tether as an AI Research Engineer focusing on model compression and quantization for AI systems. You'll innovate in reducing model footprint for multimodal architectures while applying advanced compression techniques, ensuring high performance on edge devices.

As an AI Research Engineer, you will advance model compression techniques for multimodal AI systems, focusing on efficient deployment and reducing computational costs while maintaining accuracy. Responsibilities include applying low-bit quantization, knowledge distillation, and pruning for model efficiency, analyzing trade-offs, and documenting methodologies for research publication.

As an AI Research Engineer, you will develop multi-modal reinforcement learning systems, focusing on optimization across data modalities, conducting research on algorithms, and building infrastructure for scalable training and evaluation.