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- Tasks: Develop and deploy cutting-edge AI models for various applications.
- Company: Join Tether, a leader in digital finance and blockchain technology.
- Benefits: Enjoy 100% remote work, flexible hours, and a dynamic team culture.
- Why this job: Be part of a fintech revolution and innovate with advanced AI technologies.
- Qualifications: Strong programming skills in Python, C, C++, and relevant AI experience required.
- Other info: Collaborate with researchers and contribute to impactful projects in the digital economy.
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 solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, at a fraction of the cost. Transparency ensures trust in every transaction.
Innovate with Tether
- Tether Finance: Our product suite features the trusted stablecoin USDT and pioneering digital asset tokenization services.
- Tether Power: We optimize excess power for eco-friendly Bitcoin mining in geo-diverse facilities.
- Tether Data: We reduce infrastructure costs and enhance communications with solutions like KEET.
- Tether Education: We democratize digital learning, empowering individuals in the digital and gig economies.
- Tether Evolution: We push technological boundaries to merge innovation with human potential.
Why Join Us? Our global, remote team is passionate about fintech innovation. If you excel in English communication and want to contribute to a cutting-edge platform, Tether is your place.
About the job: We aim to make advanced AI technologies accessible, building the next generation of AI models that are transparent, privacy-preserving, and innovative. The role involves developing AI solutions from large-scale models for advanced applications to efficient models for edge devices like mobile phones.
Responsibilities:
- Deploy machine learning models to edge devices using frameworks such as TVM, MLC, and IREE (MLIR).
- Collaborate with researchers to code, train, and transition models from research to production.
- Integrate AI features into existing products with the latest machine learning advancements.
Requirements: Strong programming skills in Python, C, C++, experience with deployment platforms, and familiarity with NLP, computer vision, TensorFlow, PyTorch, JAX, CUDA, LLMs, and related technologies. A degree in a relevant field and a solid AI R&D track record are essential.
Senior AI Inference Engineer (100% Remote - United Kingdom) employer: Tether Operations Limited
Contact Detail:
Tether Operations Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Inference Engineer (100% Remote - United Kingdom)
✨Tip Number 1
Familiarise yourself with the specific frameworks mentioned in the job description, such as TVM, MLC, and IREE. Having hands-on experience or projects that demonstrate your ability to deploy machine learning models using these frameworks will set you apart from other candidates.
✨Tip Number 2
Engage with the AI and fintech communities online. Join forums, attend webinars, and participate in discussions related to AI deployment and edge devices. This not only helps you stay updated on industry trends but also allows you to network with professionals who might provide insights or referrals.
✨Tip Number 3
Showcase your collaborative skills by highlighting any past experiences where you've worked with researchers or cross-functional teams. Tether values collaboration, so demonstrating your ability to work well with others can make a strong impression during interviews.
✨Tip Number 4
Prepare to discuss your experience with AI technologies like NLP, computer vision, and various machine learning frameworks. Be ready to share specific examples of how you've applied these technologies in previous roles, as this will demonstrate your practical knowledge and problem-solving abilities.
We think you need these skills to ace Senior AI Inference Engineer (100% Remote - United Kingdom)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior AI Inference Engineer position at Tether. Tailor your application to highlight your relevant experience in deploying machine learning models and working with AI technologies.
Highlight Relevant Skills: In your CV and cover letter, emphasise your programming skills in Python, C, and C++. Mention any experience you have with deployment platforms and frameworks like TVM, MLC, and IREE, as well as your familiarity with NLP, computer vision, and machine learning libraries such as TensorFlow and PyTorch.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also your passion for fintech innovation and AI technology. Explain why you want to work at Tether and how you can contribute to their mission of making advanced AI technologies accessible.
Proofread Your Application: Before submitting your application, take the time to proofread your CV and cover letter. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. 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
Make sure to highlight your programming skills in Python, C, and C++. Be prepared to discuss your experience with deployment platforms and frameworks like TensorFlow, PyTorch, and JAX. Demonstrating your technical expertise will be crucial for this role.
✨Prepare for AI and ML Discussions
Since the role involves deploying machine learning models and integrating AI features, brush up on your knowledge of NLP, computer vision, and large language models (LLMs). Be ready to discuss how you've applied these technologies in past projects.
✨Emphasise Collaboration Experience
Tether values teamwork, so be prepared to share examples of how you've collaborated with researchers or cross-functional teams. Highlight any experiences where you transitioned models from research to production, as this will demonstrate your ability to work effectively in a team setting.
✨Demonstrate Passion for Fintech Innovation
Tether is looking for candidates who are passionate about fintech. Share your thoughts on the future of digital finance and how you see AI playing a role in it. This will show your enthusiasm for the industry and align with Tether's mission.
