R&D Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a R&D Engineer based in United States.

This is a hands-on R&D role focused on designing the neural network architectures that power next-generation YOLO-based computer vision models. You will work at the intersection of cutting-edge research and production engineering, transforming ideas from research papers into efficient, high-performing architectures. Your work will influence models used by developers, researchers, and organizations worldwide across detection, segmentation, pose estimation, and emerging vision applications. The role combines first-principles research, rapid experimentation, rigorous benchmarking, and practical model development. You will collaborate closely with multidisciplinary R&D and engineering teams while taking significant ownership of technical initiatives. This is an opportunity to contribute original research and help advance the state of the art in vision AI.

Accountabilities:

• Research, design, and develop novel neural network architectures for next-generation YOLO models.
• Build and improve core model components, including backbones, necks, heads, attention mechanisms, and efficient architectural building blocks.
• Read, reproduce, adapt, and extend cutting-edge research papers into working architectures from scratch.
• Design and execute rigorous ablation studies and large-scale experiments using relevant computer vision benchmarks.
• Improve model accuracy, latency, and scalability through techniques such as knowledge distillation, pruning, and quantization-aware design.
• Develop training strategies and evaluation pipelines for detection, segmentation, pose estimation, and emerging vision tasks.
• Work closely with R&D and engineering teams to transform research concepts into production-ready open-source models.
• Contribute to foundational model initiatives and future computer vision systems while taking ownership of assigned R&D challenges and delivering solutions efficiently.

Requirements:

• 5+ years of hands-on experience in computer vision and deep learning, with strong expertise in neural network architecture design.
• Demonstrated ability to build deep learning models from the ground up rather than primarily fine-tuning pretrained checkpoints.
• Expert-level Python skills and deep proficiency with PyTorch, including custom layers, modules, and training loops.
• Strong understanding of convolutions, attention mechanisms, normalization, optimization, and loss-function fundamentals.
• Ability to read research papers and implement proposed methods accurately and efficiently from scratch.
• Experience with model-efficiency techniques such as quantization, pruning, knowledge distillation, or neural architecture search.
• Strong research portfolio demonstrated through papers, preprints, open-source contributions, or original model development.
• High ownership, adaptability, and comfort working in a fast-paced, research-driven environment.
• Published research at conferences such as CVPR, ICCV, ECCV, NeurIPS, or ICLR is a plus.
• Experience with distributed training, mixed-precision training, CUDA profiling, or deployment constraints is advantageous.
• Active open-source involvement, particularly with architecture-focused projects and meaningful community adoption, is a plus.
• Experience taking original research from an initial prototype through to models that are adopted and used in practice is highly valued.

Benefits:

• Competitive salary based on experience and contribution.
• Equity package designed to share in the organization's success.
• Fully remote working environment with flexible working hours.
• 24 vacation days, an additional day off for your birthday, and local public holidays.
• Opportunity to work on cutting-edge AI and computer vision technology with broad real-world impact.
• Brand-new Apple MacBook Air or MacBook Pro, Apple Studio Display, and AirPods Pro 3.
• Dedicated budget for personal and professional learning and development.
• Collaboration with a global team of AI researchers, engineers, and builders.
• Opportunity to contribute to technology used across millions of devices and applications.
• A high-impact environment focused on innovation, technical excellence, ownership, and continuous improvement.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.