What are the responsibilities and job description for the Knowledge Representation Specialist position at Deep Abacus?
Job Description
As a Principal AI Engineer at Deep Abacus, you will be responsible for designing, implementing, and deploying Knowledge Representation and Reasoning (KRR) systems for various applications. These systems will enable non-expert users to encode accounting knowledge, drive the development of core KRR components, and provide technical leadership to junior engineers.
Required Skills and Qualifications
- Extensive experience in developing and applying KRR to business applications.
- At least 3 years of hands-on experience with Deep Learning, along with proficiency in tools such as TensorFlow, PyTorch, or equivalent.
- A PhD in Knowledge Representation and Reasoning or relevant equivalent experience.
- Strong experience in building KRR infrastructure at scale, with expertise in techniques like Datalog and Answer Set Programming.
- A solid background in Natural Language Processing, and familiarity with integrating reasoning and machine learning.
- Experience using Large Language Models (LLMs) in the context of KRR systems.
- Experience with coding in Julia and Python, as well as familiarity with Docker and AWS.
Beyond Technical Expertise
- You will have the opportunity to shape the future of a fast-growing startup and contribute to a collaborative and transparent culture.
- Flexible remote and hybrid work options will allow you to balance your work and personal life effectively.
- Competitive salary and equity, generous time-off, and a comprehensive benefits package make this an attractive offer for any AI professional.
