GenScript/ProBio
AI Researcher (AI-Oriented Knowledge Systems)
Piscataway, New Jersey, United States
Sponsorship not specified$85k-$145kDetected 28 days ago
PythonAlgorithmsVector DatabasesSparkNLPLLMsRAGResearchExperimental DesignCommunicationCollaboration
About the role
- Job Title: AI Researcher (AI-Oriented Knowledge Systems) Location: Piscataway, NJ The estimated salary range for this role is $85,000 - $145,000 depending on experience.
- GenScript USA Inc/ProBio Inc. is a proud equal opportunity/affirmative action employer committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce.
- Please note: Genscript USA Inc./ProBio Inc. will only contact candidates through verified application sources.
Responsibilities
- Research techniques for extracting structured knowledge from multi-source heterogeneous data (documents, web pages, databases, conversation logs)
- Design automated pipelines for entity recognition, relation extraction, and event detection
- Develop knowledge quality assessment and cleaning mechanisms to filter noise and conflicting information
- Research incremental knowledge extraction strategies to support continuous knowledge base updates and expansion
- Design knowledge graph schemas and ontologies to build structured frameworks for domain knowledge
- Develop multi-level knowledge representation systems supporting coarse-to-fine granularity knowledge navigation
- Optimize RAG (Retrieval-Augmented Generation) systems to improve retrieval accuracy and answer quality
- Develop retrieval re-ranking algorithms to enhance Top-K result relevance
- Design retrieval-generation collaborative optimization mechanisms to reduce hallucinations and erroneous citations
- Develop Complex QA systems supporting multi-condition and multi-step question answering
Requirements
- Master's degree or above in Computer Science, Artificial Intelligence, Information Management, or related fields
- 3+ years of AI-related research or development experience with hands-on experience in knowledge graphs, RAG, or QA systems
Nice to have
- Publications in top-tier conferences (ACL, EMNLP, SIGIR, WWW, NeurIPS, etc.) preferred
Skills
- Proficient in Python with expertise in data processing and large-scale text processing techniques
- Familiar with mainstream NLP frameworks (spaCy, NLTK, HuggingFace Transformers, etc.)
- Experience with graph databases (Neo4j, NebulaGraph, JanusGraph, etc.)
- Familiar with vector databases (Milvus, Chroma, Weaviate, FAISS, etc.)
- Familiar with the full lifecycle of knowledge graph construction and application
- Proficient in RAG technology stack with hands-on experience in retrieval optimization, re-ranking, and answer generation
- Familiar with multi-modal knowledge processing (text + image + table + structured data)
- Familiar with large-scale data processing technologies (Spark, Flink, Dask, etc.)
- Experience in data governance such as data cleaning, deduplication, and standardization preferred
- Familiar with common data formats and protocols (JSON, XML, RDF, OWL, etc.)
- Ability to conduct independent technical research, owning the full process from problem definition to solution deployment
- Strong literature review and summarization skills with ability to quickly absorb cutting-edge research findings
Compensation
- The estimated salary range for this role is $85,000 - $145,000 depending on experience.
Benefits
- include medical, dental, and vision insurance as well as a 401(k) retirement plan with a company match that vests fully on day one.
- We offer paid parental leave after just three (3) months of employment, and a paid time off policy that includes vacation time, personal time, sick time, floating holidays, and company holidays.
Equal opportunity
- equal opportunity/affirmative action employer committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce.
Visa & Work Authorization
- ity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protecte
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