R&D Engineer

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Ultralytics

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2022

💼 Conseil

🏭 Fabrication

📦 Logistique

Consulting • Manufacturing • Logistics

Ultralytics est une entreprise axée sur l'intelligence artificielle qui propose une plateforme intuitive, Ultralytics HUB, pour créer, former et déployer des modèles d'apprentissage automatique. Grâce à ses fonctionnalités conviviales, elle permet aux professionnels de divers secteurs, tels que l'agriculture, la santé et la fabrication, de développer facilement et efficacement des solutions alimentées par l'IA. En utilisant le cadre Ultralytics YOLO, la plateforme améliore les capacités en vision par ordinateur, permettant aux utilisateurs d'optimiser les processus et de résoudre des défis complexes dans différentes 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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.