Staff ML Systems Engineer - Media Intelligence
Tether · Remote · mid
salary undisclosed· posted 1mo ago
Tether · Remote · mid
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.
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 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.
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.
We are building a highly scalable media intelligence platform that processes, analyzes, and flags potentially problematic content across large volumes of video, audio, image, and text. The platform powers content safety workflows for Tether Data products, including Keet, and must operate reliably at scale across diverse languages, formats, and content types.
As a Staff ML Systems Engineer, you will own the core of this platform - from ingestion and async processing pipelines through AI/ML model integration, inference optimization, vector search, and structured report generation. This is not a research role and it is not a prompt-engineering role. It is a production engineering role where the models are one component of a larger system that you are responsible for making fast, reliable, cost-efficient, and maintainable.
You will be the senior technical owner of the media intelligence backend. That means you define the architecture, make the hard tradeoff calls, mentor other engineers, and carry responsibility for the system in production. You will work closely with engineering leadership and collaborate with ML researchers, data engineers, and product teams to deliver a platform that provides actionable, timestamped findings to human reviewers at scale.
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