Find Machine learning engineer Jobs in Clonee, Mh

AI Research Engineer (Pre-training - LLM & Multi-Modal)
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Lead Machine Learning Engineer
DocuSign —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
14d
Field Service - Early Career Engineers
Applied Materials —Leixlip, County Kildare
- €36,000–€49,500 a year
- Weekend availability
- Master's degree
- Bachelor's degree
- Hand tools
Lead Software Engineer - Workforce Experience Technology (Backend, AWS)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- System design
- Java
- AWS
10d
Responsible AI Senior Data Scientist
Workday —Dublin, County Dublin
- €80,200–€120,200 a year
- Full-time
- Azure
- Java
- Master's degree
EMEA Data & Digital Program Manager
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- SQL
6d
Principal Data Scientist
iCIMS Talent Acquisition —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
- Annual leave
- Life insurance
AI Research Engineer (Multi-Modal Reinforcement Learning) - 100% Remote Worldwide
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Senior Data Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- System design
AI Research Engineer (Multi-Modal & Vision) - 100% Remote Worldwide
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Senior Technical Solutions Consultant, Data Engineering
Google —Dublin, County Dublin
- €120,000–€123,000 a year
- Full-time
- Bachelor's degree
- No degree
11d
AI Research Engineer (Model Compression & Quantization) - 100% Remote Worldwide
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
AI Inference Engineer QVAC (100% remote Worldwide)
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Computer Science
- English
- Research
AI Research Engineer (Agentic Post-training) - 100% Remote Worldwide
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Head of Phenomics
Novartis —Dublin, County Dublin
- €102,200–€189,800 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
Platform Engineering Team Lead
EcoOnline —Dublin, County Dublin
- Hybrid work
- AWS
- Mentoring
- AI
- Annual leave
AI DevOps Engineer
Citco —Dublin, County Dublin
- Full-time
- Computer Science
- DevOps
- System design
AI Product Manager
iCIMS Talent Acquisition —DUBLIN 2, County Dublin
- Full-time
- Bachelor's degree
- No degree
- Product management
- Annual leave
- Life insurance
Associate Director, Digital Diagnostics & AI
AstraZeneca —Dublin, County Dublin
- Azure
- Doctoral degree
- Computer Science
5d
Senior Data Analytics Engineer
Spanish Point Technologies —Clontarf, County Dublin
- Spanish
- Azure
- Computer Science

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AI Research Engineer (Pre-training - LLM & Multi-Modal)

Tether Operations Limited
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

Law
Doctoral degree
Computer Science
English
Master's degree
Bachelor's degree
Communication skills
Debugging

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 job

As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.

You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.

Responsibilities

Large-Scale Pre-Training: Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
Architecture & Alignment Innovation: Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
Data Strategy: Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
Experimental Research: Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
Optimization & Debugging: Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
System Scalability: Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.

A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.

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 Research Engineer (Pre-training - LLM & Multi-Modal)

Lead Machine Learning Engineer

Field Service - Early Career Engineers

Lead Software Engineer - Workforce Experience Technology (Backend, AWS)

Responsible AI Senior Data Scientist

EMEA Data & Digital Program Manager

Principal Data Scientist

AI Research Engineer (Multi-Modal Reinforcement Learning) - 100% Remote Worldwide

Senior Data Engineer

AI Research Engineer (Multi-Modal & Vision) - 100% Remote Worldwide

Senior Technical Solutions Consultant, Data Engineering

AI Research Engineer (Model Compression & Quantization) - 100% Remote Worldwide

AI Inference Engineer QVAC (100% remote Worldwide)

AI Research Engineer (Agentic Post-training) - 100% Remote Worldwide

Head of Phenomics

Platform Engineering Team Lead

AI DevOps Engineer

AI Product Manager

Associate Director, Digital Diagnostics & AI

Senior Data Analytics Engineer

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