Ultralytics LLM Engineer

[glenn-jocher]

Ultralytics LLM Engineer

🔥 Who We Are

At Ultralytics, we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to democratize the power of AI and make it accessible and available to all. We do this by building cutting edge computer vision AI models based on the YOLO framework and a no-code cloud based training and deployment platform.

🚀 What You'll Do

As an Ultralytics LLM Engineer, you will play a pivotal role in advancing our LLM capabilities. Your responsibilities will include:

• Researching, fine-tuning, and deploying state-of-the-art LLMs
• Developing APIs and tools to enable seamless integration of LLM functionalities
• Optimizing model performance for scalability and efficiency
• Collaborating with the team to create innovative AI-driven solutions
• Implementing automated checks for data quality and pipeline reliability
• Supporting the integration of LLMs with Ultralytics solutions and workflows
• Building internal company tools leveraging LLM capabilities
• Designing and deploying Retrieval-Augmented Generation (RAG) applications
• Enhancing query enrichment, reranking, and search relevance systems
• Ensuring compliance with SOC 2 and ISO standards
• Engaging with the open-source community to promote adoption and gather feedback
• Writing and maintaining technical documentation and guides
• Staying at the forefront of LLM advancements and sharing insights with the team

🛠️ Skills and Experience

• 5+ years of experience with Python and AI/ML frameworks
• Extensive experience working with LLMs and transformer architectures
• Strong understanding of NLP concepts, tokenization, embeddings, and fine-tuning
• Proven experience deploying LLMs in production environments
• Expertise with APIs from Anthropic, OpenAI, Voyage, DeepSeek, and Gemini
• Experience with building internal tools leveraging LLM functionalities
• Hands-on experience designing and implementing RAG applications
• Proficiency in query enrichment and reranking methodologies
• Familiarity with SOC 2 and ISO compliance requirements
• Strong debugging and optimization skills
• Excellent written communication and documentation abilities
• Familiarity with open-source AI tools and communities
• Experience with Docker and cloud-based deployment (AWS, GCP, or Azure)

🌟 Cultural Fit

WARNING: At Ultralytics, the pace is relentless and the expectations high. Our environment demands dedication beyond typical work hours, with nights and weekends a common part of our rigorous schedule. We prioritize candidates who possess a deep-rooted commitment to AI innovation, a strong proficiency with LLMs, and an unwavering resolve to thrive under pressure. This role is tailored for the extraordinary—those prepared to invest the utmost effort to propel our ambitious startup. If you're seeking a comfortable routine, look elsewhere. If you're seeking to be at the forefront of AI advancement and ready for the intensity it demands, let's talk.

💶 Compensation and Benefits

• Salary: Competitive to market, depending on experience and qualifications.
• Time Off: 24 days paid vacation, your birthday off, plus local holidays.
• Remote Option: We are a remote first company, with budget and measures to bring the entire team together on an occasional basis.
• Flexibility: Flexible working hours.

Come join us in our mission to drive AI innovation! Apply at ultralytics.com/careers.

[UltralyticsAssistant]

👋 Hello @glenn-jocher, thank you for sharing your enthusiasm for Ultralytics 🚀! It’s great to see such detailed information about the LLM Engineer role you're presenting. An Ultralytics engineer will look into your post soon to offer any additional guidance or support.

If this is related to a broader query or actionable item, feel free to let us know more details or adjust your discussion accordingly. For any technical issues encountered in the repository, providing a more focused and detailed context (if applicable) always helps clarify the request, especially for bugs or feature contributions.

Thanks again for your contribution! 😊