Agentic AI Machine Learning Engineer
ScienceLogic- Full Time
- Expert & Leadership (9+ years)
Candidates should possess a PhD in Computer Science, Machine Learning, or a related field, with a proven track record of publications in top-tier academic conferences such as NeurIPS, ICML, ICLR, ACL, or EMNLP. Strong expertise in code LLMs, agents, and related research areas is essential, along with experience in designing and implementing scalable training strategies and agent frameworks. Familiarity with frontier LLMs and state-of-the-art compute infrastructure is also required.
As the Lead for the Agent Code Teams, you will stay current with the latest research, design and implement scalable strategies for training code models and deploying agent frameworks, conduct experiments on compute infrastructure, collaborate with cross-functional teams to integrate agent systems, and mentor team members while fostering a culture of innovation and continuous learning.
Provides NLP tools and LLMs via API
Cohere provides advanced Natural Language Processing (NLP) tools and Large Language Models (LLMs) through a user-friendly API. Their services cater to a wide range of clients, including businesses that want to improve their content generation, summarization, and search functions. Cohere's business model focuses on offering scalable and affordable generative AI tools, generating revenue by granting API access to pre-trained models that can handle tasks like text classification, sentiment analysis, and semantic search in multiple languages. The platform is customizable, enabling businesses to create smarter and faster solutions. With multilingual support, Cohere effectively addresses language barriers, making it suitable for international use.