At a Glance
- Tasks: Build cutting-edge AI solutions for diverse applications and edge devices.
- Company: Join Tether, a leader in accessible AI technology.
- Benefits: 100% remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborate globally with talented individuals in a fast-paced environment.
- Why this job: Be part of a dynamic team driving innovation in AI and making it accessible.
- Qualifications: Strong programming skills in Python and C/C++, with experience in AI frameworks.
The predicted salary is between 60000 - 80000 € per year.
About the job
At Tether, we’re committed to making advanced AI technologies more accessible. Thanks to its investment in AI infrastructure, starting from Northern Data, Tether is now in a prime position to tackle ambitious AI projects. Our goal is to build the next generation of AI models, leading innovation in AI, through an accessible, transparent and privacy preserving approach. The role involves building AI solutions across the spectrum from large-scale models designed for advanced applications to smaller, highly performant models tailored for efficiency on edge devices such as mobile phones and laptops. Our dynamic team operates entirely remotely, uniting talent from every corner of the globe. 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 frameworks such as Llama.cpp, ONNX, TVM, MLC LLM, and IREE (MLIR).
- 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.
Qualifications
- Excellent programming skills in Python, and a solid understanding of C/C++.
- Experience with platforms such as Llama.cpp, ONNX, TVM, MLC LLM, and IREE (MLIR), which facilitate the deployment of models to specific GPU architectures.
- Experience in NLP, transformers, fine-tuning, computer vision, TensorFlow, PyTorch, JAX and CUDA toolkit.
- Experience working with LLMs, fine tuning, RAG, transformers is a plus.
- 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.
Senior AI Inference Engineer 100% Remote United Kingdom employer: Framework Ventures
At Tether, we pride ourselves on fostering a collaborative and innovative work culture that empowers our remote team to excel in the rapidly evolving field of AI. With a strong commitment to employee growth, we offer access to cutting-edge resources and opportunities for professional development, ensuring that our engineers can thrive while contributing to groundbreaking projects. Join us in a flexible work environment that values transparency and creativity, as we strive to make advanced AI technologies accessible to all.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Inference Engineer 100% Remote United Kingdom
✨Tip Number 1
Network like a pro! Reach out to folks in the AI field on LinkedIn or join relevant online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI models and deployment. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior AI Inference Engineer 100% Remote United Kingdom
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior AI Inference Engineer role. Highlight your programming prowess in Python and C/C++, and don’t forget to mention any experience with the frameworks listed in the job description.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for Tether. Be sure to mention specific projects or experiences that relate to deploying models on edge devices.
Showcase Your Projects:If you’ve worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. This could be anything from deploying machine learning models to integrating AI features into products. Real-world examples can really set you apart!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re serious about joining our dynamic remote team at Tether!
How to prepare for a job interview at Framework Ventures
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, C/C++, and frameworks such as Llama.cpp and ONNX. Brush up on your knowledge of deploying models to edge devices, as this will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've deployed machine learning models or worked with AI technologies. Highlight your role in these projects, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Collaborative Mindset
Since the role involves working closely with researchers, be ready to talk about your collaborative experiences. Share examples of how you’ve successfully worked in teams, especially in remote settings, and how you communicate complex ideas effectively.
✨Stay Updated on AI Trends
Familiarise yourself with the latest advancements in AI and machine learning. Being able to discuss current trends or recent breakthroughs can show your passion for the field and your commitment to continuous learning, which is crucial for a role focused on innovation.
