Overview

Head of AI (R&D) - (100% remote) role at Tether.io

About The Job

As Head of AI (R&D), you will lead cross-functional teams to drive innovation in training multimodal large language models (LLMs), video foundation models, and other advanced AI systems. These models will be optimized for both cloud-based deployments and edge computing environments, ensuring scalability, efficiency, and real-world applicability. You will report directly to senior leadership and play a pivotal role in shaping the company's AI strategy, from research breakthroughs to production-ready solutions.

Key Responsibilities

• Lead and mentor interdisciplinary teams of researchers, engineers, and data scientists to pioneer cutting-edge AI research and development.
• Innovate on model architectures, training methodologies, and optimization techniques for multimodal LLMs (integrating text, image, audio, and video) and specialized video foundation models.
• Scale the R&D team by recruiting top talent, fostering a collaborative culture, and implementing processes for efficient growth and knowledge sharing.
• Oversee scalable training pipelines, including data curation, distributed computing strategies (e.g., using HPC clusters or cloud resources), and hyperparameter optimization to handle massive datasets.
• Deliver high-quality, general-purpose models tailored to specific applications and use cases, ensuring they meet performance benchmarks for accuracy, latency, and resource efficiency on cloud and edge devices.
• Collaborate with product, engineering, and deployment teams to transition research prototypes into production systems.
• Stay abreast of industry trends, publish research findings, and represent the company at conferences or in partnerships.
• Manage budgets, timelines, and resources for R&D projects, ensuring alignment with business objectives and pragmatic AI practices.
• Proven experience leading AI R&D teams (5+ years in a leadership role) with a track record of delivering production-grade models from concept to deployment.
• PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Deep expertise in training foundation models, including multimodal LLMs and video models, with hands-on experience in frameworks like PyTorch, TensorFlow, or JAX.
• Strong understanding of scalable training techniques, such as data parallelism, model parallelism, and efficient inference on edge devices (e.g., mobile, IoT).
• Demonstrated ability to scale teams and projects in fast-paced environments.

Preferred

• Publications in top-tier conferences/journals (e.g., NeurIPS, CVPR, ICML) on relevant topics.
• Experience with real-world deployments of AI models in datacenter and edge settings.
• Familiarity with ethical AI, bias mitigation, and regulatory compliance in model development.
• Strong programming skills in Python and experience with distributed systems (e.g., Kubernetes, Ray).

Important information for candidates

• Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
• Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io
• We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

Details

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Finance