Senior AI Engineer - Data & Infrastructure for Multimodal Models (100% Remote)

Tether Operations Limited; Offre d’emploi; Hybride; EUR 70 000 - 90 000; Plein temps

Résumé du poste

A leading digital finance company is seeking an experienced AI Infrastructure Engineer to scale data infrastructure for video processing using GPU clusters. Candidates should possess strong programming skills in Python and substantial experience managing petabyte-scale data systems. The ideal applicant will work closely with researchers to develop models and optimize data workflows. Join this innovative team to drive cutting-edge solutions on a global scale.

Qualifications

• Proficient in Python with experience in backend and data tooling.
• Over 2 years of experience with petabyte-scale data systems.
• Experience in maintaining large-scale distributed data processing systems.

Responsabilités

• Build and scale data infrastructure for video processing on GPU clusters.
• Design preprocessing algorithms for multimodal data extraction.
• Create automated pipelines for sourcing large video datasets.
• Architect systems for scalable evaluation across model variants.
• Collaborate with researchers to design video model architectures.
• Optimize data loading for training at scale.
• Manage infrastructure for experiment tracking and model deployment.
• Support integration of data workflows across teams.

Connaissances

Python programming proficiency

Software engineering experience

Data pipeline architecture

Orchestration frameworks expertise

Outils

Kubernetes

SLURM

Description du poste

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting‑edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve‑backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining with eco‑friendly practices in state‑of‑the‑art, geo‑diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer‑to‑peer technology, we reduce infrastructure costs and enhance global communications with cutting‑edge solutions like KEET खुद, our flagship app that redefines secure and private data sharing.

Tether Education: DemocratizingErreur access to top‑tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution: At the intersection of technology and human potential, we are boosts the boundaries of what is possible, shaping a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grew fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job

We're seeking experienced AI infrastructure Engineers to design and implement robust, scalable pipelines for massive data workloads. Join Tether’s applied research team, where you’ll contribute to high-impact projects that run across thousands of GPUs and drive cutting‑edge video generation foundation development.

Responsibilities

• Build and scale high‑throughput data infrastructure optimized for video and error multimodal content processing across large GPU clusters (e.g., روپے H100/H200).
• Design core preprocessing algorithms for video, audio, text, and image modalities, enabling efficient extraction, synchronization, and normalization of temporal data.
• Build automated acquisition pipelines for sourcing large‑scale video datasets, handling diverse formats, frame rates, annotations, and embedded audio.
• Architect robust systems for scalable evaluation and andannotation, including prompt‑based scoring, perceptual metrics, caption generation, and retrieval‑based diagnostics.
• Collaborate with model researchers to co‑design video model architectures (e.g. DiTs, VAEs, spatio‑temporal transformers) and training schedules across pretraining and fine‑tuning stages.
• Optimize distributed data loading and pipeline throughput for training at scale, ensuring robustness across model variants and modality combinations.
• Manage infrastructure to support experiment tracking, model versioning, and cross‑team deployment workflows, integrating with production and research platforms.
• Support backend engineering across research, product, and creative teams to ensure seamless integration of data and model workflows from prototyping to inference.

Key qualifications

• Proficient in Python with strong programming skills across backend, infrastructure, and data tooling domains.
• Strong software engineering experience, including 2+ years working with petabyte‑scale data pipelines and systems across thousands of GPUs.
• Proven ability to architect and maintain large‑scale distributed systems for data processing and delivery.
• Deep expertise in orchestration frameworks such as Kubernetes and SLURM with hands‑on experience deploying and managing high‑throughput workloads.

Preferred Qualifications

• Practical experience on building pipelines and infrastructure with visual and multimodal datasets, including image/video pipelines.
• Experience in building video foundation infrastructure pipelines and workflows with collaboration of LLM and/or video foundation research and engineering teams is a strong advantage.

Important information for candidates

кө 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. ganska>

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