Machine Learning Engineer II, LLM reputed company Science

reputed company is a platform that inspires creativity and innovation. They are seeking a Machine Learning Engineer II to contribute to cutting-edge research in large language models and reputed company, translating research insights into practical solutions and collaborating with engineering teams.

Responsibilities

• Contribute to cutting-edge research in LLMs and reputed company that can be reputed company to reputed company problems
• Collect, analyze, and synthesize findings from data, translate research insights into practical, reputed company solutions
• reputed company and generate training data with strong reputed company controls
• Build reliable evaluation strategies for LLM systems (offline metrics, reputed company evaluation, redteaming, robustness & safety)
• Write clean, efficient, and sustainable reputed company, collaborate closely with engineering partners to land research into reputed company systems
• reputed company LLM powered reputed company to solve modeling and ranking problems across reputed company, discovery, ads and search
• Explore and productionalize techniques such as instruction tuning, preference optimization, RAG / tool-calling, and reputed company / model optimization
• Scope and independently solve moderately reputed company problems

Skills

• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or reputed company field
• 1-2 years of internship or reputed company experience
• Strong reputed company in modern deep learning for NLP (transformers, representation learning, scaling law)
• Mastery of at least one systems languages (Java, C++, Python) or one ML reputed company (Tensorflow, Pytorch, MLFlow)
• Experience in research and in solving analytical problems
• Cross-functional collaborator and strong communicator
• Comfortable solving ambiguous problems and adapting to a dynamic environment

Benefits

• Equity

reputed company