At a Glance
- Tasks: Build and deploy AI models across various devices using cutting-edge technologies.
- Company: Join Tether, a leader in digital finance revolutionising how we transact globally.
- Benefits: Enjoy remote work flexibility and be part of an innovative, global team.
- Why this job: Contribute to groundbreaking AI advancements while shaping the future of fintech.
- Qualifications: Proficient in Python, C, C++, with experience in AI and machine learning frameworks.
- Other info: Ideal for tech enthusiasts eager to learn and innovate in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
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:
The role is all about building powerful AI models that run everywhere-from lightweight, high-performance models on edge devices like phones and laptops to large-scale models powering advanced applications. Using GGML as a versatile multiplatform inference backend, you\’ll help bring intelligent capabilities to devices both big and small.
Our dynamic team operates entirely remotely, uniting talent from every corner of the globe. Our journey has been marked by rapid growth and efficient operations, firmly establishing us as pioneers within the industry. Join us in building AI models and solutions that not only compete with but exceed the capabilities of current leaders, driving both technological advancement and broad accessibility.
Responsibilities :
- Work on deploying machine learning models to edge devices using the frameworks:llama.cpp, ggml, onnx.
- 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.
- Excellent programming skills in Python, C and C++.
- Strong experience with Llama.cpp and ggml inference engines, which facilitates the deployment of models to specific GPU architectures.
- Good understanding of deep learning concepts and model architectures.
- Experience with transformers and LLMs.
- 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.
#J-18808-Ljbffr
Senior AI Engineer (ggml/llama.cpp Specialist) employer: Tether Operations Limited
Contact Detail:
Tether Operations Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer (ggml/llama.cpp Specialist)
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, particularly focusing on GGML and llama.cpp. This will not only help you understand the technologies better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the fintech and AI sectors. Attend relevant webinars, workshops, or meetups to connect with like-minded individuals and industry leaders who can provide insights or even referrals for the position at Tether.
✨Tip Number 3
Showcase your practical experience by working on personal projects or contributing to open-source initiatives that utilise GGML and llama.cpp. This hands-on experience can be a great talking point in interviews and demonstrate your commitment to the field.
✨Tip Number 4
Prepare to discuss how you can integrate AI features into existing products. Think of specific examples where you've successfully implemented AI solutions in past roles, as this will highlight your ability to contribute to Tether's innovative platform.
We think you need these skills to ace Senior AI Engineer (ggml/llama.cpp Specialist)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, C, and C++, as well as your familiarity with Llama.cpp and ggml. Use specific examples of projects where you've deployed machine learning models or worked with AI technologies.
Craft a Compelling Cover Letter: In your cover letter, express your passion for fintech innovation and how your skills align with Tether's mission. Mention any relevant experience in AI R&D and your ability to learn new technologies quickly.
Showcase Relevant Projects: If you have worked on projects involving edge devices or large-scale applications, be sure to include these in your application. Describe your role and the impact of your contributions, especially in relation to AI model deployment.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Tether Operations Limited
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python, C, and C++. Highlight specific projects where you've used llama.cpp and ggml, especially in GPU deployment. This will demonstrate your hands-on experience and understanding of the technologies relevant to the role.
✨Understand the Company’s Vision
Familiarise yourself with Tether's mission and product suite. Understanding how their solutions integrate into the broader financial ecosystem will help you articulate how your skills can contribute to their goals during the interview.
✨Prepare for Technical Questions
Expect questions on deep learning concepts, architectures, and transformers. Brush up on these topics and be ready to explain complex ideas clearly, as this will showcase your expertise and ability to communicate effectively.
✨Demonstrate Your Collaborative Spirit
Since the role involves collaboration with researchers, share examples of past teamwork experiences. Highlight how you’ve successfully worked in remote teams and contributed to projects, as this aligns with Tether's global team culture.