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AI Research Engineer (Model Compression & Quantization)

Develop compressed multimodal AI models for efficient deployment

As an AI Research Engineer at Tether, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational costs while maintaining performance for real-world applications in digital finance and AI-powered services.

Why This Role?

Collaborate with a global team pushing boundaries in AI and digital finance innovation

Key Responsibilities

  • Research and implement model compression techniques for LLMs and VLMs
  • Optimize AI models for reduced footprint and faster deployment
  • Experiment with quantization methods to improve inference efficiency
  • Evaluate trade-offs between model size, speed, and accuracy
  • Deploy compressed models in production-like environments for testing
  • Stay updated on advancements in efficient AI and publish findings internally

Requirements

  • Strong background in machine learning and deep learning
  • Experience with model compression, pruning, or quantization techniques
  • Proficiency in Python and AI frameworks like PyTorch or TensorFlow
  • Understanding of LLMs and vision-language model architectures
  • Ability to conduct experiments and analyze performance metrics
  • Excellent English communication skills for collaboration

Required Skills

aimachine-learningmodel-compressionpythoncommunicationmodel compressionquantizationLLMsvision-language modelsAI optimization

Indonesia Context

Working Hours Overlap:
Flexible — work your own hours
See remote (USD) vs local pay →
View Original Description from ArbeitnowShow more

Original description from Arbeitnow

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. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using 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 , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing 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 pushing the boundaries of what is possible, crafting 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 grown 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 As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Break down the key responsibilities in bullet points. It’s helpful to make them actionable and measurable. This could also be grouped into categories for more complex roles. Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and

Salary Context

Similar Engineering roles on LokerDollar pay around $170k/yr (range $1k–1000k/yr, n=830 active listings).

Hiring at Tether Operations Limited

Tether Operations Limited has 15 other active roles on LokerDollar and has been hiring here since May 8, 2026 — across Engineering.

View all Tether Operations Limited openings →

Market context

  • ESTIMATEEstimated pay is 6% above the role median of $170,000/year (n=830 pay-disclosing listings).
  • VERIFIEDTether Operations Limited: 19 postings in the last 3 months, 49 all-time on LokerDollar.
  • VERIFIEDCompany first seen May 8, 2026.
  • VERIFIEDThis listing first seen Sep 22, 2026.
  • VERIFIEDLast verified live Sep 22, 2026.

This listing is sourced from Arbeitnow, with the company profile and full details on this page. The one thing we can't auto-confirm is whether this specific apply link opens cleanly — it usually does, so go ahead and try it. Check back later if it doesn't load.

Openness not stated by employer — check the listing

Source
Estimated salary
$160k–200k/yr
Based on similar roles — not stated by the employer
Job Type
full time
Location
Remote · Countries not stated
Category
Seniority
mid
PostedFresh
Sep 22, 2026

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Frequently asked questions

Is AI Research Engineer (Model Compression & Quantization) at Tether Operations Limited a remote job?
Yes, AI Research Engineer (Model Compression & Quantization) at Tether Operations Limited is remote, but the employer did not state which countries can apply. Check the listing before applying.
What type of employment is AI Research Engineer (Model Compression & Quantization) at Tether Operations Limited?
This is a full time position.
How do I apply?
Click the "Apply" button on this page to go to the official application at Tether Operations Limited.

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