Computer Vision Engineer (VIO)

Harmattan AI

ABOUT US Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. ABOUT THE ROLE We are looking for a Computer Vision Engineer to join our Machine Learning and Computer Vision team. This role is crucial for developing core technical components across various robotics/aerospace projects. RESPONSIBILITIES * Research & Data Preparation: * Conduct research on state-of-the-art Computer Vision methodologies. Participate in the creation and curation of training and validation datasets. * Perform statistical analyses and develop visualization tools to ensure data quality. * Algorithm Development & Optimization: * Build and refine training pipelines and metrics to enhance model performance. * Develop and optimize Computer Vision algorithms for multiple robotics/aerospace projects. * Deployment & Integration: Implement ML/CV models into production-ready environments. Ensure seamless integration with Harmattan AI’s systems and conduct rigorous code reviews. * Validation & Monitoring: Test algorithms in real-world environments and develop monitoring tools. Track model performance and continuously improve deployed solutions. * Cross-Team Collaboration: Work closely with software and simulation teams to align development with system requirements. Communicate findings effectively to stakeholders. CANDIDATE REQUIREMENTS * Educational Background: A degree from a top-tier engineering school or university (Master’s degree in Computer Science or related field, PhD is a plus) * Technical Expertise: Strong mathematical foundations, coding skills (Python, C++ is a plus) and hands-on ML/CV project experience. Experience in top AI companies is a huge plus. * Passion for ML: Enthusiasm for Machine Learning and Computer Vision. * Strong Communication & Teamwork: Ability to collaborate effectively with diverse teams * Commitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence. We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

Harmattan AI

ABOUT US Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. ABOUT THE ROLE As a Machine Learning Engineer on our Foundational team in Paris, you will build the "brain" of our tactical robots. You will design and scale large-scale, multi-modal foundational models that learn robust representations of the battlefield using Self-Supervised Learning (SSL) from massive amounts of unlabelled Electro-Optical (EO) and Infrared (IR) data. Your work provides the critical foundational weights that our Edge AI team distills into hyper-accurate models running on tactical hardware.   RESPONSIBILITIES * Multi-Modal SSL Architecture Design: Design neural network architectures (Vision Transformers) and loss functions (Masked Autoencoders, Contrastive Learning) to jointly learn from paired and unpaired EO and IR data. * Distributed Training Infrastructure: Manage and optimise training pipelines across multi-node GPU clusters, handling mixed-precision training and data loading. * Representation Evaluation: Develop metrics and linear-probing benchmarks to prove the latent space captures useful semantic features before distillation. * Data Strategy: Audit existing EO/IR data lakes and implement cross-attention mechanisms to fuse diverse sensor features. * Cross-Functional Collaboration: Sync with Data Engineers on ingestion pipelines and collaborate with the Edge AI team to ensure high-performance model handoffs. Candidate Requirements * Educational Background: A PhD or a highly research-focused MS in Computer Science, Machine Learning, Computer Vision, or Applied Mathematics. * Proven Experience: Minimum of 5-6 years of experience for senior levels. Experience training and scaling deep learning vision models (ViTs, CNNs) from scratch in multi-GPU/multi-node environments. Successful application of novel SSL or multi-modal architectures (e.g., CLIP, MAE, DINO) to real-world, non-standard imaging data (IR, SAR, or hyperspectral). * Technical Proficiency: Hardcore PyTorch engineering skills combined with deep mathematical intuition for representation learning. Knowledge of system-level languages (C++, Rust, or Go) and resource optimisation for edge computing. * Complexity & Leadership: Ability to architect state machines for fault-tolerant data pipelines and mediate technical trade-offs between hardware and algorithm teams. * Commitment & Mindset: 100% dedication to Harmattan AI’s mission of providing an ethical defence edge to allied countries. A hybrid researcher-engineer mindset that treats data quality as seriously as algorithm design We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

Sereact

WHO WE ARE: We are a rapidly growing embodied AI company revolutionizing human labor. Leveraging cutting-edge robotics and advanced artificial intelligence, we develop transformative technologies that redefine how work is done across multiple industries—empowering businesses to streamline operations, boost productivity, and unlock new possibilities. OVERVIEW: We are looking for a world-class Researcher to join our R&D hub in the Zurich area. In this role, you will be at the forefront of developing Vision-Language-Action (VLA) models that enable robots to understand and interact with the world with unprecedented generalization. You will work on the intersection of large-scale foundation models and real-world robotic execution, bridging the gap between state-of-the-art research and deployed embodied intelligence. YOUR RESPONSIBILITIES: Research & Development: * Design, implement, and scale VLA models and foundation architectures for robotic manipulation and navigation. Scaling Laws & Data: * Develop strategies for multi-modal data collection, synthetic data generation, and efficient fine-tuning of large-scale models. Algorithm Optimization: * Optimize model inference for real-time robotic applications without compromising reasoning capabilities. Publication & Visibility: * Contribute to the global research community by publishing high-impact papers at top-tier conferences (NeurIPS, CVPR, ICRA, CoRL, etc.). Collaboration: * Work closely with the Core Robotics and Hardware teams to integrate AI models into our physical platforms. QUALIFICATIONS: Academic Excellence: * PhD or Master’s degree in Computer Science, Machine Learning, Robotics, or a related field, with a focus on Deep Learning and Computer Vision. Proven Research Track Record: * Significant publications and citations at major conferences such as NeurIPS, CVPR, ICCV, ICRA, IROS, or CoRL. Professional Background: * Experience working in leading AI research environments Technical Mastery: * Deep expertise in PyTorch or JAX, experience with Transformers, Diffusion Models, and Large Language Models (LLMs). Domain Knowledge: * Strong understanding of Vision-Language models and their application to Action/Control loops in robotics. LOCATION: Zurich Area, Switzerland: * This role is based in our Zurich office, offering a vibrant ecosystem for robotics and AI. WHAT WE OFFER: * Wellpass (gym membership). * Free meals at the workplace. * Flexible working hours and the option to work from home when needed. * Direct collaboration with founders and world-leading AI experts. * Access to large-scale compute clusters and proprietary robotic datasets. * A key role in shaping the future of embodied AI. * Competitive compensation and a relocation package for the Zurich area