Research Engineer, Knowledge Team
Anthropic- Full Time
- Junior (1 to 2 years)
Candidates must possess a BS or MS in Computer Science, Mathematics, or a related technical field, or equivalent industry experience. Strong programming skills in Python and experience in software development and testing are required. Familiarity with deep learning frameworks such as PyTorch and a solid understanding of mathematical concepts, including algebra, geometry, and analysis, are essential. Preferred qualifications include a PhD in a relevant field and experience applying AI to practical problems in formal methods.
The Research Engineer will conduct high-quality research at the intersection of reinforcement learning and formal methods, focusing on mathematical theorem proving. They will develop and implement novel reinforcement learning algorithms and models, collaborate with a multidisciplinary team to integrate these techniques with formal methods, and stay updated on the latest developments in the field.
Data platform for business intelligence
Harmonic.ai provides a platform that offers detailed information on over 20 million companies and 160 million individuals, primarily serving clients in the business intelligence sector such as investment firms and venture capitalists. Users can access a vast and constantly updated database through a subscription service, which includes features like hyper-specific searches, alerts for actionable companies, and team network utilization. The platform also supports integration with users' systems via a Chrome extension and an API, enhancing workflow efficiency. A notable feature is the bulk import option, allowing clients to manage large data volumes effectively. Harmonic.ai aims to empower businesses and investors to make informed decisions by leveraging comprehensive data and advanced search capabilities.