Ultralytics
About Ultralytics At Ultralytics, we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models. If you're obsessed with AI, eager to make an impact on the world and thrive in dynamic, high intensity environments, we invite you to apply for a position on our team. Location and Legalities 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. What You'll Do 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. Key responsibilities include: Developing and scaling robust LLM powered applications using a variety of APIs, including OpenAI, Anthropic, and Gemini. Implementing and managing multi API workflows using tools like LiteLLM to ensure flexibility and resilience. 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. Collaborating with our YOLO development team to explore and build innovative multi modal solutions. 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. Skills and Experience 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. Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions. A strong interest in computer vision and an understanding of object detection models like Ultralytics YOLO11 is a significant plus. Excellent problem solving skills and the ability to perform in a fast paced, high intensity environment. Cultural Fit - Intensity Required Ultralytics is a high performance environment for world class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. Compensation and Benefits Competitive Salary: Highly competitive based on experience. Startup Equity: Participate directly in our company's growth and success. 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. Team: Become part of a supportive and passionate team environment. What we offer Cutting Edge next generation AI computer vision technology: contribute to building cutting edge computer vision AI models based on the YOLO framework. Impactful Work: Shape the future of AI powered solutions that transform industries. Collaborative Culture: Join a talented and passionate team that values open communication and innovation. Equal Opportunity & Diversity Statement Ultralytics is an equal opportunity employer and is committed to building an inclusive workplace. We believe that everyone should be able to bring their whole selves to work, and we do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
About Ultralytics At Ultralytics, we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models. If you're obsessed with AI, eager to make an impact on the world and thrive in dynamic, high intensity environments, we invite you to apply for a position on our team. Location and Legalities 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. What You'll Do 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. Key responsibilities include: Developing and scaling robust LLM powered applications using a variety of APIs, including OpenAI, Anthropic, and Gemini. Implementing and managing multi API workflows using tools like LiteLLM to ensure flexibility and resilience. 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. Collaborating with our YOLO development team to explore and build innovative multi modal solutions. 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. Skills and Experience 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. Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions. A strong interest in computer vision and an understanding of object detection models like Ultralytics YOLO11 is a significant plus. Excellent problem solving skills and the ability to perform in a fast paced, high intensity environment. Cultural Fit - Intensity Required Ultralytics is a high performance environment for world class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. Compensation and Benefits Competitive Salary: Highly competitive based on experience. Startup Equity: Participate directly in our company's growth and success. 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. Team: Become part of a supportive and passionate team environment. What we offer Cutting Edge next generation AI computer vision technology: contribute to building cutting edge computer vision AI models based on the YOLO framework. Impactful Work: Shape the future of AI powered solutions that transform industries. Collaborative Culture: Join a talented and passionate team that values open communication and innovation. Equal Opportunity & Diversity Statement Ultralytics is an equal opportunity employer and is committed to building an inclusive workplace. We believe that everyone should be able to bring their whole selves to work, and we do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
Ultralytics
About Ultralytics At Ultralytics, we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models. If you're obsessed with AI, eager to make an impact on the world and thrive in dynamic, high-intensity environments, we invite you to apply for a position on our team. Who we are At Ultralytics, we're on a mission to simplify AI for everyone. As the creators of the world's leading open-source YOLO models and the popular Ultralytics GitHub repository, we empower millions of developers, researchers, and companies worldwide to build state-of-the-art computer vision applications. Following our $30M Series A round, we're expanding rapidly across our global hubs in London, Madrid, Shenzhen, and New York. This is an opportunity to join a fast-scaling, high-performance team that's redefining the future of vision AI - where ambition meets impact, and ideas become reality. We move fast. We build boldly. We execute with purpose. And we do it together. About the role As R&D Engineer - Research Role: Neural Network Architectures for YOLO, you'll design and develop the neural network architectures at the core of how YOLO is built. Your work will directly shape the open-source models used by millions of developers across detection, segmentation, pose, and emerging vision tasks. You'll operate at the intersection of research and production, turning ideas from papers into performant architectures, rigorous experiments, and production-ready model designs. Working closely with our cross disciplinary R&D team, you'll help define future releases across the Ultralytics ecosystem and contribute to the technical foundations documented in our docs and guides. This role is ideal for a hands on researcher who thrives on first principles thinking, rapid experimentation, and high ownership. You bring deep architectural intuition, strong PyTorch skills, and the drive to build original models that advance the state of the art. What you'll do Research & architecture design Research, design, and build novel neural network architectures for next generation YOLO models. Develop core components including backbones, necks, heads, attention modules, and efficient building blocks. Read, reproduce, and extend cutting edge papers into working model architectures from scratch. Experimentation & optimization Run rigorous ablation studies and large scale architecture experiments across standard benchmarks. Improve accuracy, latency, and scaling through distillation, pruning, and quantization aware design. Build training recipes and evaluation pipelines for detection, segmentation, pose, and new vision tasks. Collaboration & ownership Partner with R&D and engineering teams to turn research ideas into production ready open source models. Contribute to foundational model initiatives that support future YOLO and broader vision systems. Take ownership of assigned R&D tasks beyond architecture work and solve problems efficiently and correctly. Skills and experience Core requirements 5+ years of hands on experience in computer vision and deep learning with architecture design expertise. Proven success building models from the ground up, not just fine timing pretrained checkpoints. Expert level Python and deep proficiency in PyTorch, including custom layers, modules, and training loops. Strong command of convolutions, attention, normalization, optimization, and loss design fundamentals. Ability to read a research paper and implement it faithfully and efficiently from scratch. Experience with efficiency research such as quantization, pruning, distillation, or neural architecture search. Strong portfolio of research contributions through papers, preprints, open source code, or original model work. High ownership, adaptability, and comfort operating in a fast moving research environment. Nice to have Published research at venues such as CVPR, ICCV, ECCV, NeurIPS, or ICLR. Experience with distributed training, mixed precision, CUDA profiling, or model deployment constraints. Active open source presence with architecture focused repositories and meaningful community adoption. Familiarity with the Ultralytics Python package, documentation, or community forum. History of taking original research from prototype to models others actually use. Cultural fit At Ultralytics, we set bold goals and execute with speed, precision, and teamwork. We're driven by hard work, ambition, and resilience - building fast, learning constantly, and delivering measurable impact. You'll thrive here if you: Take ownership and deliver results with focus and accountability. Combine deep technical thinking with hands on execution. Value excellence, grit, and creativity in equal measure. See collaboration as the foundation for meaningful progress. Our culture is built around our core values: Relentless progress: Constant evolution and improvement. Strive for excellence: Perseverance and attention to detail. Actions, not words: Focus on delivering meaningful results. Act with urgency: Seize fleeting opportunities. Open access to all: Transparent communication and collaboration. Learn more in our Ultralytics Handbook and Mission & Values. Compensation and benefits We reward excellence and impact - not just tenure or title. Competitive salary: Reflecting your experience and contribution. Equity packages: We want our success to be yours too. On site collaboration: Work with passionate builders in one of our global hubs. Flexible working hours: We value results over routines. Generous time off: 24 vacation days, your birthday off, plus local holidays. Tech & tools: Work on cutting edge AI projects that power millions of devices. Gear: Brand new Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3. Learning & development: Dedicated budget for personal and professional growth. High impact: Your work will shape the future of vision AI. What we offer: Cutting edge next generation AI computer vision technology: contribute to building cutting edge computer vision AI models based on the YOLO framework. Impactful work: Shape the future of AI powered solutions that transform industries. Collaborative culture: Join a talented and passionate team that values open communication and innovation. Ultralytics Handbook Comprehensive guide to our company's mission, vision, values, and operational practices. This handbook is designed to provide key insights and resources for our future team members, collaborators, and community to align with Ultralytics core principles. Link: Ultralytics is an equal opportunity employer and are committed to building an inclusive workplace. We believe that everyone should be able to bring their whole selves to work, and we do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
About Ultralytics At Ultralytics, we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models. If you're obsessed with AI, eager to make an impact on the world and thrive in dynamic, high-intensity environments, we invite you to apply for a position on our team. Who we are At Ultralytics, we're on a mission to simplify AI for everyone. As the creators of the world's leading open-source YOLO models and the popular Ultralytics GitHub repository, we empower millions of developers, researchers, and companies worldwide to build state-of-the-art computer vision applications. Following our $30M Series A round, we're expanding rapidly across our global hubs in London, Madrid, Shenzhen, and New York. This is an opportunity to join a fast-scaling, high-performance team that's redefining the future of vision AI - where ambition meets impact, and ideas become reality. We move fast. We build boldly. We execute with purpose. And we do it together. About the role As R&D Engineer - Research Role: Neural Network Architectures for YOLO, you'll design and develop the neural network architectures at the core of how YOLO is built. Your work will directly shape the open-source models used by millions of developers across detection, segmentation, pose, and emerging vision tasks. You'll operate at the intersection of research and production, turning ideas from papers into performant architectures, rigorous experiments, and production-ready model designs. Working closely with our cross disciplinary R&D team, you'll help define future releases across the Ultralytics ecosystem and contribute to the technical foundations documented in our docs and guides. This role is ideal for a hands on researcher who thrives on first principles thinking, rapid experimentation, and high ownership. You bring deep architectural intuition, strong PyTorch skills, and the drive to build original models that advance the state of the art. What you'll do Research & architecture design Research, design, and build novel neural network architectures for next generation YOLO models. Develop core components including backbones, necks, heads, attention modules, and efficient building blocks. Read, reproduce, and extend cutting edge papers into working model architectures from scratch. Experimentation & optimization Run rigorous ablation studies and large scale architecture experiments across standard benchmarks. Improve accuracy, latency, and scaling through distillation, pruning, and quantization aware design. Build training recipes and evaluation pipelines for detection, segmentation, pose, and new vision tasks. Collaboration & ownership Partner with R&D and engineering teams to turn research ideas into production ready open source models. Contribute to foundational model initiatives that support future YOLO and broader vision systems. Take ownership of assigned R&D tasks beyond architecture work and solve problems efficiently and correctly. Skills and experience Core requirements 5+ years of hands on experience in computer vision and deep learning with architecture design expertise. Proven success building models from the ground up, not just fine timing pretrained checkpoints. Expert level Python and deep proficiency in PyTorch, including custom layers, modules, and training loops. Strong command of convolutions, attention, normalization, optimization, and loss design fundamentals. Ability to read a research paper and implement it faithfully and efficiently from scratch. Experience with efficiency research such as quantization, pruning, distillation, or neural architecture search. Strong portfolio of research contributions through papers, preprints, open source code, or original model work. High ownership, adaptability, and comfort operating in a fast moving research environment. Nice to have Published research at venues such as CVPR, ICCV, ECCV, NeurIPS, or ICLR. Experience with distributed training, mixed precision, CUDA profiling, or model deployment constraints. Active open source presence with architecture focused repositories and meaningful community adoption. Familiarity with the Ultralytics Python package, documentation, or community forum. History of taking original research from prototype to models others actually use. Cultural fit At Ultralytics, we set bold goals and execute with speed, precision, and teamwork. We're driven by hard work, ambition, and resilience - building fast, learning constantly, and delivering measurable impact. You'll thrive here if you: Take ownership and deliver results with focus and accountability. Combine deep technical thinking with hands on execution. Value excellence, grit, and creativity in equal measure. See collaboration as the foundation for meaningful progress. Our culture is built around our core values: Relentless progress: Constant evolution and improvement. Strive for excellence: Perseverance and attention to detail. Actions, not words: Focus on delivering meaningful results. Act with urgency: Seize fleeting opportunities. Open access to all: Transparent communication and collaboration. Learn more in our Ultralytics Handbook and Mission & Values. Compensation and benefits We reward excellence and impact - not just tenure or title. Competitive salary: Reflecting your experience and contribution. Equity packages: We want our success to be yours too. On site collaboration: Work with passionate builders in one of our global hubs. Flexible working hours: We value results over routines. Generous time off: 24 vacation days, your birthday off, plus local holidays. Tech & tools: Work on cutting edge AI projects that power millions of devices. Gear: Brand new Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3. Learning & development: Dedicated budget for personal and professional growth. High impact: Your work will shape the future of vision AI. What we offer: Cutting edge next generation AI computer vision technology: contribute to building cutting edge computer vision AI models based on the YOLO framework. Impactful work: Shape the future of AI powered solutions that transform industries. Collaborative culture: Join a talented and passionate team that values open communication and innovation. Ultralytics Handbook Comprehensive guide to our company's mission, vision, values, and operational practices. This handbook is designed to provide key insights and resources for our future team members, collaborators, and community to align with Ultralytics core principles. Link: Ultralytics is an equal opportunity employer and are committed to building an inclusive workplace. We believe that everyone should be able to bring their whole selves to work, and we do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.