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- Tasks: Lead the development of advanced language models and integrate them with computer vision technologies.
- Company: Ultralytics is a pioneering AI company focused on innovative YOLO models and Vision AI.
- Benefits: Enjoy competitive salary, hybrid work flexibility, generous time off, and cutting-edge tech gear.
- Why this job: Join a dynamic team making a global impact in AI and contribute to exciting open-source projects.
- Qualifications: 5+ years in software engineering with expertise in AI, Python, and deep learning frameworks.
- Other info: This role is fully remote with a requirement for UK work authorization.
The predicted salary is between 36000 - 60000 £ per year.
Who We Are At Ultralytics, we relentlessly drive innovation in AI, building the world's leading YOLO models. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI.
This full-time LLM Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship.
As an LLM Engineer at Ultralytics, you will spearhead the development and integration of advanced language model capabilities across our ecosystem. You will work on cutting-edge projects that merge the power of Large Language Models (LLMs) with our state-of-the-art computer vision technologies. Your responsibilities will include:
- Building sophisticated Retrieval-Augmented Generation (RAG) systems, leveraging advanced techniques like embeddings with Voyage AI, rerankers, and query enrichment.
- Designing and maintaining efficient data pipelines and vector storage solutions using MongoDB Atlas Vector Search.
- Fine-tuning LLMs on custom datasets to enhance performance for specialized tasks related to our documentation and user support.
- Automating deployment and testing processes using CI/CD pipelines with GitHub Actions.
Your work will directly enhance the Ultralytics HUB platform and empower our global community of developers and researchers.
Requirements:
- 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML).
- Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch.
- Proven experience building and deploying applications with LLM APIs such as OpenAI, Anthropic, Gemini, and DeepSeek.
- Hands-on experience with the full RAG pipeline, including vector embeddings, rerankers, and data indexing in databases like MongoDB.
- Practical knowledge of LLM fine-tuning, prompt engineering, and performance optimization.
- A strong interest in computer vision and an understanding of object detection models like Ultralytics YOLO11 is a significant plus.
Compensation and Benefits:
- Competitive Salary: Highly competitive based on experience.
- Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote.
- Generous Time Off: 24 days vacation, your birthday off, plus local holidays.
- Flexible Hours: Tailor your working hours to suit your productivity.
- Tech: Engage with cutting-edge AI projects and contribute to leading open-source software.
- Gear: Brand-new Apple MacBook and Apple Display provided.
If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity.
AWS Engineer - Fully Remote employer: Ultralytics
Contact Detail:
Ultralytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Engineer - Fully Remote
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, particularly in large language models and computer vision. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the AI and machine learning community. Attend relevant meetups, webinars, or conferences to connect with others in the field. This can lead to valuable insights and potential referrals for the position.
✨Tip Number 3
Showcase your hands-on experience with tools and technologies mentioned in the job description, such as MongoDB, PyTorch, and CI/CD pipelines. Consider contributing to open-source projects or creating personal projects that demonstrate your skills in these areas.
✨Tip Number 4
Prepare to discuss specific examples of how you've applied your expertise in LLMs and AI in previous roles. Be ready to explain your thought process and the impact of your work, as this will highlight your problem-solving abilities and technical knowledge.
We think you need these skills to ace AWS Engineer - Fully Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering, AI, and machine learning. Emphasise your proficiency in Python and any relevant frameworks like PyTorch, as well as your hands-on experience with LLM APIs.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of Ultralytics' mission. Mention specific projects or technologies you’ve worked on that align with the job description, particularly around LLMs and computer vision.
Showcase Relevant Projects: Include a portfolio or links to projects that demonstrate your skills in building and deploying applications with LLM APIs, as well as any experience with RAG systems and MongoDB. This will give the hiring team tangible evidence of your capabilities.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in a high-energy environment like Ultralytics.
How to prepare for a job interview at Ultralytics
✨Showcase Your AI Passion
Make sure to express your enthusiasm for AI and machine learning during the interview. Discuss any personal projects or experiences that highlight your passion and how they relate to the role at Ultralytics.
✨Demonstrate Technical Expertise
Be prepared to discuss your experience with Python, deep learning frameworks like PyTorch, and LLM APIs. Bring examples of past projects where you successfully implemented these technologies, especially in relation to RAG systems.
✨Understand the Company’s Vision
Research Ultralytics and their YOLO models before the interview. Understanding their products and vision will allow you to tailor your responses and show how you can contribute to their goals.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills. Practice explaining your thought process clearly, especially when discussing complex topics like fine-tuning LLMs or designing data pipelines.
