Job Details

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 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.

We're looking for excellent English communication skills and a readiness to contribute to the most innovative platform on the planet.

About The Job
The AI & Optimization Lead — Bitcoin Mining Operations will play a crucial role in defining and executing the AI vision for MOS (Mining Operating System) and MDK (Mining Development Kit) — the core FOSS platforms powering Tether's Bitcoin‑mining operations worldwide.

This role is responsible for designing the data foundation and AI models that drive real‑world operational efficiency across mining sites , with a focus on performance optimization, predictive insights, and intelligent automation. You will work closely with engineering, data, and operations teams to define a structured data baseline , ensure high‑quality data modelling, and develop AI‑driven solutions that are fully integrated into MOS/MDK.

Your mission is simple and ambitious: turn data into intelligence — and intelligence into site‑level efficiency.

A strong background in data architecture, modelling, ML/AI systems, and mathematical optimization is essential. Prior exposure to Bitcoin mining or industrial/IoT environments is highly valuable, but not mandatory.

Responsibilities

AI Vision & Strategy

Define and lead the AI strategy for MOS & MDK with a focus on operational efficiency and measurable business outcomes.

Translate operational challenges into data and optimization problems that AI models can solve.

Establish best‑practice frameworks for scalable, production‑ready AI systems.

Data Foundation & Modelling

Design a standardized data baseline / schema for all mining‑site telemetry and events.

Ensure data is structured, normalised, labelled and accessible for AI/ML use cases.

Work with backend engineers to evolve the data pipeline and integration standards.

Model Development & Optimization

Build and deploy ML/AI and optimisation models such as:

performance optimisation

anomaly detection

predictive failure & maintenance

energy‑efficiency insights

operational automation recommendations

Continuously evaluate and improve model performance in production.

Integration & Delivery

Work with MOS & MDK engineering teams to embed AI models into platform workflows and APIs.

Ensure models are efficient, reliable, explainable, and maintainable.

Cross‑Team Collaboration

Collaborate with site‑operations teams to validate results and gather feedback.

Align with leadership on AI roadmap, priorities, impact tracking, and KPIs.

Document systems, architecture, and modelling assumptions clearly.

Culture & Mindset

Promote a data‑driven, efficiency‑first culture within the Mining Software team.

Stay updated on AI, optimisation and industrial analytics trends.

Bachelor's or Master's degree in Computer Science, Data Science, Applied Mathematics, Engineering, Statistics, or similar.

3+ years' experience in AI/ML, data science, or applied optimisation roles.

Proven experience designing data models / schemas / baselines for large‑scale, time‑series‑heavy datasets.

Strong proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, Scikit‑Learn).

Strong JavaScript / TypeScript proficiency (Node.js ecosystem).

Familiarity with containerised workloads (Docker).

Experience developing and deploying time‑series, anomaly detection, classification, and predictive models for mechanical, electromechanical, or hardware‑intensive equipment/systems in production environments.

Solid understanding of signal processing and feature extraction for sensor data (e.g., electrical, thermal, vibration, or telemetry signals).

Solid understanding of optimisation techniques (linear/non‑linear programming, simulation, decision systems, etc.).

Experience deploying, monitoring, maintaining AI models into production systems including handling model drift and evolving operating conditions.

Excellent English communication skills and ability to collaborate in distributed teams.

Qualifications

Strong background in data architecture, modelling, ML/AI systems, and mathematical optimisation.

Prior exposure to Bitcoin mining or industrial/IoT environments is highly valuable (but not mandatory).

3+ years' experience in AI/ML, data science, or applied optimisation roles.

Proven experience in designing data models / schemas / baselines for large‑scale, time‑series‑heavy datasets.

Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, Scikit‑Learn).

Strong JavaScript / TypeScript proficiency (Node.js ecosystem).

Familiarity with containerised workloads (Docker).

Experience developing and deploying time‑series, anomaly detection, classification, and predictive models for mechanical, electromechanical, or hardware‑intensive equipment/systems in production environments.

Solid understanding of signal processing and feature extraction for sensor data (e.g., electrical, thermal, vibration, or telemetry signals).

Solid understanding of optimisation techniques (linear/non‑linear programming, simulation, decision systems, etc.).

Experience deploying, monitoring, maintaining AI models into production systems including handling model drift and evolving operating conditions.

Excellent English communication skills and ability to collaborate in distributed teams.

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