5 days ago
πΊπΈ United States β Remote
π΅ $153k - $185k / year
β° Full Time
π‘ Mid-level
π Senior
π§βπ» Full-stack Engineer
β’ Work with groups of Research Scientists, Engineers, and Data Scientists in the AI Platform organization and beyond, to deploy, build, adapt, optimize, and deploy LLM models in production at very large scale β’ Design and implement API services, libraries, and containers to support our LLMOps lifecycle β’ Optimize Deep Learning models including LLMs in training and for production (including use of specialized hardware), maximizing execution speed, while minimizing compute cost β’ Work directly on all aspects of science problems with other teams: from inception, brainstorming, and reading of scientific literature, to data exploration and implementation of methods created in-house, and productization of these methods
β’ M.S. in Computer science β’ Ph.D. studies in any field is a plus β’ 5+ years of experience as a Research or Machine Learning Engineer β’ MLOps/LLMOps Experience: building, optimizing, deploying and operating Deep Learning models using PyTorch, including Transformers and LLMs, not just using APIs β’ Experience working with Research Scientists, reading technical research papers, and implementing state-of-the-art methods in Natural Language Processing, Computer Vision, Knowledge Representation and Management, Vector Databases and Generative AI β’ Expertise in Python β’ Experience with Kubernetes, AWS, Databricks, Containers, FaaS
β’ Comprehensive medical, dental and vision insurance plan options for employees, domestic partners and their dependents β’ Generous PTO, flexible sick days and remote working options β’ Paid parental leave and family forming benefits β’ Mental health benefits and support β’ Company equity (RSUs)
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