Senior Research Engineer, Model Training / Pretraining
hace 1 día
Little Rock
Senior Research Engineer Seattle, Washington | Hybrid The position is a Senior Research Engineer on the model scaling team, reporting to a Director of AI Research. The work covers model training and the supporting infrastructure. Training runs use approximately 600 B300 and 1,000 H100 GPUs. Responsibilities • Build and maintain the training stack for distributed model training across GPU clusters., • Run scaling experiments covering model architecture, data, and optimisation., • Work in one specialist area: GPU kernel development (CUDA), Mixture-of-Experts architectures, or reinforcement-learning post-training (GRPO, PPO, RLVR)., • Release models, code, and associated research publicly. Requirements • 6+ years of software engineering experience., • 4+ years of machine-learning infrastructure experience., • Python and PyTorch., • Experience training models from scratch (pretraining). Experience limited to retrieval-augmented generation or application-level fine-tuning does not meet this requirement., • Depth in at least one of: CUDA kernels, Mixture-of-Experts, or reinforcement learning (GRPO, PPO, RLVR). Also considered • JAX., • Open-source contributions., • Published research., • Experience with GPU clusters at the scale described above. Interview process • Hiring-manager screen — 25 minutes., • Recruiter screen — 15 minutes., • Machine-learning coding interviews — two sessions, 45 minutes each., • Machine-learning system-design interview — 45 minutes., • Technical deep-dive with the Director of AI Research — 60 minutes., • Final interview — 30 minutes., • Offer., • Base salary: $147,000–$220,000 + strong bonus programmes in addition to base salary., • Hybrid in Seattle, Washington. On-site presence is required. Fully remote is not available., • Visa sponsorship is available. Application This search is managed by Intelix.AI. Contact: Hasan Mohammad — .