Machine Learning Research Engineer, Senior
Core
Senior Machine Learning Research Engineer driving systems innovations for model efficiency, fundamental research in deep learning (LLMs, generative models), and advanced platform research for edge-cloud and quantum paradigms.
Role type
Senior IC machine learning research engineer (deep learning & systems)
Builds
Production-ready ML models, efficient training pipelines, and ML compilers for hardware accelerators
Domain
Mobile, automotive, cloud, IoT, and edge computing
Deliverable
production ML models
Required skills
Deep learning fundamentals, Python, PyTorch, model compression, quantization, model sparsity, training pipeline design, debugging, analytical problem solving
Preferred skills
LLM/LVM/LMM experience, machine learning accelerators, heterogeneous computing, agentic systems, on-device AI production, first-author publications at NeurIPS/ICML/ICLR
Technologies
PyTorch, Python, transformers, state-space networks, diffusion networks, VAEs, federated learning, quantum machine learning
Responsibilities
Drive systems innovations for model efficiency on device and cloud; Conduct fundamental ML research for new models and training methods; Perform advanced platform research for new compute paradigms; Create new ML models for advanced use cases (CV, audio, NLP, video); Design and develop software for ML frameworks on edge devices; Research and implement ML compiler components for HW Accelerators
Seniority
Senior, hands-on IC
