Assent
501-1000 employees
About Assent
Assent is a leading provider of supply chain data management and compliance software solutions designed to help companies manage complex regulatory requirements and improve supply chain transparency. Founded in 2010, Assent's platform enables organizations to collect, validate, and analyze supplier data to ensure compliance with global regulations such as conflict minerals, environmental standards, and product safety. The company serves a wide range of industries including manufacturing, electronics, and automotive, helping clients reduce risk, improve sustainability, and drive operational efficiency. With a strong focus on innovation and customer success, Assent has established itself as a trusted partner for enterprises seeking to enhance supply chain integrity and corporate responsibility.
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Description
- Assent is seeking a PhD-level AI Research Intern to work part time for an 8-month period within their AI & Innovation team.
- The role involves researching and prototyping LLM-based agent architectures, exploring task decomposition, reasoning, and collaboration between agents to solve complex enterprise problems.
- The intern will develop scalable experiment pipelines, build and optimize Python-based backend components, and integrate prototypes with internal data systems and APIs.
- The position offers mentorship from senior AI and MLOps engineers, exposure to AI deployment challenges, and the opportunity to shape AI features that impact global supply chain sustainability.
- The role requires current pursuit of a PhD in Computer Science, Machine Learning, AI, or related fields, with strong Python skills and familiarity with ML frameworks like PyTorch or TensorFlow, LLM frameworks such as LangChain or AutoGen, vector databases, and cloud-based development (AWS).
- Responsibilities include designing experiments, evaluating models, and documenting findings.
- The company emphasizes diversity, inclusion, flexible work arrangements, and professional development.
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Requirements
- Currently pursuing a PhD (3+ years completed) in Computer Science, Machine Learning, AI, or a related discipline, available to work 20 hours per week.
- Strong coding and prototyping skills in Python, including familiarity with PyTorch, TensorFlow, or similar ML frameworks.
- Experience with LLM agent frameworks such as LangChain, LlamaIndex, DSPy, AutoGen, or Semantic Kernel.
- Knowledge of vector databases like FAISS, Chroma, Pinecone, or Milvus.
- Experience with RAG and retrieval systems using embeddings and knowledge graphs.
- Deep understanding of LLM internals, including prompting strategies, fine-tuning, and model evaluation.
- Experience with cloud-based development (AWS) and modern MLOps or LLMOps workflows is an asset.
- Strong experimental design, data analysis, and communication skills.
- Ability to list coursework related to LLMs, deep learning, reinforcement learning, information retrieval, or multi-agent systems.
- Describe significant projects involving LLMs or agentic AI systems, including models, frameworks, and contributions.
- Share experience building retrieval or RAG-based systems, including embedding models and knowledge graphs.
- Describe research experiments designed and executed, including evaluation methodologies and insights.
- Summarize hands-on experience building AI prototypes, including backend components, prompt pipelines, and data system integration.
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Benefits
- Vacation time that increases with tenure
- Comprehensive benefits packages (varies by country)
- Life leave days
- Competitive base salary
- Corporate bonus program
- Retirement savings options
- Flexible work options
- Volunteer days and corporate giving initiatives
- Professional development days from start
- Diversity, equity, and inclusion initiatives
- Support for accommodations during interview and selection process