PJoin to apply for the strongSenior Engineer – AI Model Compression Research /strong role at strongAxelera AI /strong /p p2 weeks ago Be among the first 25 applicants /p pJoin to apply for the strongSenior Engineer – AI Model Compression Research /strong role at strongAxelera AI /strong /p pstrongCompany Overview /strongbr/Axelera is a European, high-growth Series B startup revolutionizing the AI landscape with our in-memory computing platform. We specialize in creating AI hardware and software optimized for high-performance inference across high-end edge computing, embodied AI, and server-side AI deployments. We are seeking passionate, innovative research engineers to join our team and help shape the future of AI. /p pstrongRole Overview /strongbr/We are looking for an AI Research Engineer with a strong focus on strongmodel compression /strong. This role involves developing cutting-edge techniques to make Generative AI models more efficient for real-time inference, from high-end edge systems to large-scale server deployments. You will ensure our models are optimized for memory, computational efficiency, and performance, without sacrificing accuracy. /p pThis position offers an exciting opportunity to work at the intersection of advanced machine learning, in-memory computing, and high-performance AI inference on state-of-the-art hardware architectures. /p pstrongResponsibilities /strong:br/ /p ol libModel Compression: /b Design and implement advanced techniques such as pruning, quantization, weight sharing, and knowledge distillation to improve memory efficiency and computational performance. /li libPerformance Tuning: /b Optimize compressed models for high-throughput, low-latency inference tailored to our in-memory platform. /li libCollaboration: /b Work with AI researchers, software, and hardware engineers to integrate model optimizations into our AI platform, ensuring effectiveness across deployments. /li libInnovation: /b Keep abreast of latest developments in AI and model compression research, pushing the boundaries of model size reduction without performance loss. /li libDeployment Testing: /b Implement best practices for model testing, deployment, and continuous improvement to ensure scalable production models. /li /ol pstrongRequirements /strong:br/ /p ol liProven experience in model compression techniques like pruning, quantization, low-rank factorization, and knowledge distillation. /li libTechnical Skills: /b Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX; experience optimizing models for resource-constrained environments; familiarity with distributed systems, in-memory computing, or high-performance environments; solid understanding of deep learning algorithms and trade-offs in model compression. /li liStrong knowledge of the latest AI/ML advancements, especially in compression and distillation of generative models (transformers, diffusion models). /li liExcellent collaboration and communication skills, capable of working in a fast-paced startup environment and explaining complex technical concepts clearly. /li /ol pstrongPreferred Qualifications /strong:br/ /p ol liPhD or higher in Computer Science, Machine Learning, AI, or related fields. /li li5+ years of relevant post-graduate work experience. /li liResearch experience in model compression, efficient inference, or deploying AI models on resource-limited devices. /li liFamiliarity with deployment frameworks like TensorRT, ONNX, etc. /li liPassion for solving real-world AI challenges in dynamic, high-performance environments. /li /ol pstrongLocation /strong:br/This role is based in Italy, with relocation support to Bologna, Florence, or Milan for international candidates. /p pstrongWhy Join Us? /strong:br/ /p ul libImpact: /b Contribute to groundbreaking AI technology powering future applications. /li libCulture: /b Join a diverse, innovative, collaborative team focused on learning and growth. /li libGrowth: /b Significant opportunities to influence product and AI strategy as a Series B startup. /li libCompensation: /b Competitive salary, equity options, and benefits. /li /ul pstrongHow to Apply? /strong:br/Send your resume and a brief cover letter explaining your enthusiasm and how your experience aligns with our goals in model compression. /p pAt Axelera AI, we value diversity and are committed to creating an inclusive environment for all applicants. /p #J-18808-Ljbffr