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 in London employer: Framework Ventures
At Tether, we pride ourselves on fostering a collaborative and innovative remote work culture that empowers our employees to excel in their roles. With a strong focus on professional development and cutting-edge AI projects, we offer unique opportunities for growth and the chance to contribute to meaningful advancements in technology. Join us in a dynamic environment where your skills will not only be valued but also play a crucial role in shaping the future of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Inference Engineer 100% Remote United Kingdom in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those who work at Tether or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, C/C++, and AI frameworks. This is your chance to demonstrate what you can do beyond the CV.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with deploying models and integrating AI features into products—this is your moment to shine!
✨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 take that extra step to connect directly with us.
We think you need these skills to ace Senior AI Inference Engineer 100% Remote United Kingdom in London
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 we use like Llama.cpp and ONNX.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to our mission at Tether. Be specific about your past projects and how they relate to the responsibilities of this role.
Showcase Relevant Projects:If you've worked on any AI models or machine learning projects, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they involve deploying models to edge devices!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our remote team!
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 and any challenges you overcame. 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’ve contributed to transitioning models from research to production.
✨Stay Updated on AI Trends
Familiarise yourself with the latest advancements in AI and machine learning. Being able to discuss current trends or breakthroughs in the field can set you apart and show your passion for the industry. It’s a great way to engage with your interviewers and demonstrate your commitment to continuous learning.
