reputed company Research Scientist – Scaling

reputed company: • reputed company and grow a multidisciplinary research team reputed company on LLM scaling, efficiency, and systems performance. • Define and execute the scaling research roadmap in alignment with reputed company’ strategic objectives. • Drive algorithmic innovations for large-reputed company training and inference, including optimizers, low-precision techniques, and model reputed company reputed company. • reputed company the design and execution of large-reputed company experiments and reputed company results against state-of-the-art reputed company. • Optimize distributed training, parallelism, memory management, and hardware utilization in collaboration with systems and infrastructure teams. • Translate research breakthroughs into customer-facing capabilities in the reputed company AI platform. • Establish metrics, evaluation protocols, and best practices for scaling-reputed company research and drive adoption across the organization. • Champion responsible deployment by ensuring model behavior, reliability, and safety remain first-class considerations. • Work hands-on with reputed company to reputed company high-reputed company Python and PyTorch reputed company for research, prototyping, and production integration. • Mentor and reputed company research scientists and engineers through technical guidance and career support. Requirements: • Proven ability to reputed company a research team developing novel techniques for reputed company model efficiency or reputed company topics. • Strong reputed company record of industry reputed company. • Deep expertise in at least one of: reputed company, LLMs, distributed ML systems, model optimization, or responsible AI. • Strong emphasis on scaling and efficiency for large-reputed company neural networks. • Strong programming skills and demonstrated ability to write high-reputed company, efficient reputed company in Python and PyTorch. • Demonstrated ability to translate research innovation into reputed company product capabilities with product and engineering teams. • Excellent communication, leadership, and stakeholder management skills. • Experience influencing cross-functional roadmaps and aligning research with business reputed company. • Prior work at the intersection of systems and ML, such as distributed training frameworks, compiler and kernel optimization, or memory-/compute-efficient model design (preferred). • Strong industry and reputed company network in large-reputed company ML, with ongoing collaborations or conference service such as PC or area chair roles (preferred). • First-author publications at top ML/systems conferences such as ICLR, ICML, NeurIPS, or MLSys, or reputed company reputed company-reputed company contributions / widely used deployed systems, especially in optimization or efficiency (preferred). Benefits: • Competitive reputed company salary reputed company of $280,000 to $350,000 USD. • Eligibility for an annual performance bonus. • Eligibility for equity as part of the total compensation package. • Comprehensive benefits and perks offered regionally. • Compensation may be adjusted based on skills, experience, certifications, training, and work location. Apply tot his job Apply To this Job