Find Machine learning engineer Jobs in Clonee, Mh

AI Inference Engineer QVAC (100% remote Worldwide)
Tether Operations Limited —Dublin, County Dublin
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Sirius XM —Dublin, County Dublin
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Intercom —Dublin, County Dublin
- Hybrid work
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- Master's degree
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ElevenLabs —Dublin, County Dublin
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Equal1 —Dublin, County Dublin
- Full-time
- Doctoral degree
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Henry Schein Ireland —Dublin, County Dublin
- Full-time
- Azure
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Nory —Dublin, County Dublin
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Staff Product Engineer, AI
Intercom —Dublin, County Dublin
- Hybrid work
- Computer Science
- Bachelor's degree
- JavaScript
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Senior Data Analytics Engineer
Spanish Point Technologies —Clontarf, County Dublin
- Spanish
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Staff Machine Learning Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
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2d
EDA flow and Logic Synthesis Engineer (Senior Engineer)
Synopsys —Dublin, County Dublin
- Master's degree
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EMEA Data & Digital Program Manager
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
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Software Engineer – Cloud Platform
eBay Inc. —Dublin, County Dublin
- Full-time
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Defect equipment Systems Engineer
Intel —Leixlip, County Kildare
- €59,200–€111,300 a year
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Senior Applied Scientist, AWS Security
Amazon Development Centre Ireland Limited —Dublin, County Dublin
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AI Engineer
CR2 —Dublin, County Dublin
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Senior Software Engineer, Cloud Security
Iambic Therapeutics, Inc —Dublin, County Dublin
- Full-time
- Hybrid work
- Master's degree
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Capacity Planning Manager, CDP EMEA
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
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AI Inference Engineer QVAC (100% remote Worldwide)

Tether Operations Limited
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

Law
Computer Science
English
Research
Master's degree
C++
Bachelor's degree
JavaScript
Distributed systems
Recruiting
Communication skills

Full job 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 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 role:

You will own the inference backbone behind QVAC's local AI stack: the C++ systems layer that makes models run fast, reliably, and predictably on real user hardware. The role is centered on engineering quality at runtime level, including startup behavior, memory pressure, throughput/latency balance, and long-session stability. You will define and evolve the core abstractions that inference features depend on, so new capabilities can be added without sacrificing performance or maintainability. This is a role for someone who enjoys low-level problem solving, clear technical ownership, and building infrastructure that other teams trust in production. Your work directly enables private, on-device AI experiences and helps set the technical foundation for QVAC's next generation of peer-to-peer AI products.

About the job

You'll work on the C++ layer that powers local AI, porting and enhancing inference engines like llama.cpp or similar, to run efficiently on edge devices. Your focus is on the runtime: making models load faster, run leaner, and perform well across different hardware. You'll ensure that the inference layer is stable, optimized, and ready for integration with the rest of the stack.

This role is for engineers who want to work close to the metal, enabling private and fast on-device AI without relying on cloud infrastructure.

Responsibilities

Work on deploying machine learning models to edge devices using the frameworks: llama.cpp, ggml
Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments
Integrate AI features into existing products, enriching them with the latest advancements in machine learning

Strong programming skills in C++
Strong experience with Llama.cpp and ggml inference engines, which facilitates the deployment of models to specific GPU architectures
Experience with any GPU framework between Cuda, Vulkan, Metal, OpenCL
Good understanding of deep learning concepts and model architectures
Experience with transformers, LLMs, Diffusion models
Demonstrated ability to rapidly assimilate new technologies and techniques
A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&D

Bonus points if:

You know how to train/fine-tune a LLM
You have productionized models
You have research experience in new model architectures
You have experience with distributed systems
Javascript experience

Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

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.

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

Apply Now

Refine Your Search

machine learning engineer jobs in clonee, mh

AI Inference Engineer QVAC (100% remote Worldwide)

Senior Staff Machine Learning Scientist, Recommendations

EDA flow and Logic Synthesis Engineer (Staff Engineer)

Senior Staff Machine Learning Scientist, Recommendations

Senior Machine Learning Scientist

Infrastructure Security Engineer

VP of Quantum Software Engineering

Senior API Engineer

Senior Product Engineer - Insights

Staff Product Engineer, AI

Senior Data Analytics Engineer

Staff Machine Learning Engineer

EDA flow and Logic Synthesis Engineer (Senior Engineer)

EMEA Data & Digital Program Manager

Software Engineer – Cloud Platform

Defect equipment Systems Engineer

Senior Applied Scientist, AWS Security

AI Engineer

Senior Software Engineer, Cloud Security

Capacity Planning Manager, CDP EMEA

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