AI Research Engineer (Model Compression & Quantization)
AI research engineer at Tether (USDT stablecoin company) working on model compression—quantization, knowledge distillation, and pruning—for multimodal AI systems (LLMs, VLMs). Day to day: building compression pipelines, benchmarking size/latency/accuracy trade-offs, and deploying efficient models on edge devices like smartphones, with PyTorch and some C++.
- Compensation
- Not disclosed
- Location
- Bengaluru, India
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Must have
- Degree in Computer Science or related field
- Experience with PyTorch deep learning frameworks or equivalent
- Hands-on experience with model quantization, including Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ)
- Research and hands-on experience with knowledge distillation for compressing large models
- Research and hands-on experience with model pruning for compressing large models
- Solid understanding of neural network architectures and training processes, including transformers (LLMs, VLMs), backpropagation, optimization, and fine-tuning
- Excellent English communication skills
Nice to have
- PhD in NLP, Machine Learning, or related field with solid track record in AI R&D and publications in A* conferences
- Familiarity with C++, especially for low-level quantization kernels or inference optimizations
Full description
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 TetherTether 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.