R&D Engineer

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Ultralytics

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

🤖 Artificial Intelligence

🌾 Agriculture

Artificial Intelligence • Healthcare • Agriculture

Ultralytics is an AI-focused company that provides an intuitive platform known as Ultralytics HUB for creating, training, and deploying machine learning models. With user-friendly capabilities, it allows individuals from various sectors, including agriculture, healthcare, and manufacturing, to develop AI-powered solutions easily and efficiently. By utilizing the Ultralytics YOLO framework, the platform enhances capabilities in computer vision, enabling users to optimize processes and solve complex challenges across industries.

📋 Description

• 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. • 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. • 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.

🎯 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-tuning 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.

🏖️ Benefits

• 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.