France Job Openings
DiliTrust
Research Scientist Intern
Puteaux
September 13, 2024
As the leading Saa S publisher in Europe, Dilitrust is transforming legal departments worldwide with cutting-edge technology.
Our Impact: From General Meeting reports to AI-assisted contract life management, our teams across France, Spain, Italy, Canada, Mexico, and MEA are the driving force behind our global success. We are pleased to provide daily support to 2,400 customers in 64 countries, with a 80% of them being Cac 40 companies.
Our Ambition: To be the first French legal tech to achieve Unicorn status, with a valuation surpassing €1 billion.
Our Recognition: Dilitrust has been recognized for offering a positive and stimulating work environment. We are proud to have been awarded the "Happy at Work" and “Tech at Work” label since 2019.
What will you find at Dili Trust?
Innovation: Be at the forefront of legal tech advancements.
Global Impact: Collaborate with diverse teams in an international and multicultural context.
Career growth: Grow and develop within the future unicorn of legal tech.
Stimulating workplace
Ready to be part of the Legal Tech revolution?
As the leading Saa S publisher in Europe, Dilitrust is transforming legal departments worldwide with cutting-edge technology.
Our Impact: From General Meeting reports to AI-assisted contract life management, our teams across France, Spain, Italy, Canada, Mexico, and MEA are the driving force behind our global success. We are pleased to provide daily support to 2,400 customers in 64 countries, with a 80% of them being Cac 40 companies.
Our Ambition: To be the first French legal tech to achieve Unicorn status, with a valuation surpassing €1 billion.
Our Recognition: Dilitrust has been recognized for offering a positive and stimulating work environment. We are proud to have been awarded the "Happy at Work" and “Tech at Work” label since 2019.
What will you find at Dili Trust?
Innovation: Be at the forefront of legal tech advancements.
Global Impact: Collaborate with diverse teams in an international and multicultural context.
Career growth: Grow and develop within the future unicorn of legal tech.
Stimulating workplace: Experience the positive "Happy at Work" environment.
Your tasks :
- Review the state-of-the-art on your topic and propose a way to improve it or adapt it to our needs
- Implement these new models and evaluate your ideas on our dataset
- Push your work from idea to production and monitor how it impacts customers
- Share your work with the community by publishing a research paper and presenting at technical gatherings
You can also check our tech blog -> https://research.dilitrust.com/
We are offering a technical internship opportunity focused on training a large language model (LLM) on legal data and constructing a legal instruction-based dataset. This internship is designed for individuals who are enthusiastic about natural language processing (NLP), machine learning, and the legal domain. During this internship you will be an integral part of our research team, contributing to the development of cutting-edge AI models that enhance the legal industry.
Responsibilities:
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Dataset Construction:
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Collaborate with our team to identify and gather available open-source legal datasets.
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Curate a comprehensive and diverse dataset that covers various legal domains, including contracts, case law, statutes, and regulations.
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Implement data preprocessing techniques to ensure data consistency, uniformity, and quality.
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Construct a legal instruction-based dataset by extracting key legal queries, questions, or prompts from the collected data. This dataset will be used for fine-tuning the language model.
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Collaborate with our team to identify and gather available open-source legal datasets.
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Model Selection:
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Investigate state-of-the-art large language models (LLMs) with a focus on those that have demonstrated competence in handling legal text and tasks.
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Compare different pre-trained models on benchmark legal NLP tasks and determine their suitability for the legal domain.
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Investigate state-of-the-art large language models (LLMs) with a focus on those that have demonstrated competence in handling legal text and tasks.
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Model Fine-tuning:
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Fine-tune the selected LLM on the legal instruction-based dataset to adapt it to legal text understanding and generation.
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Implement strategies to avoid potential biases and ethical concerns during fine-tuning.
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Fine-tune the selected LLM on the legal instruction-based dataset to adapt it to legal text understanding and generation.
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Evaluation and Optimization:
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Develop evaluation metrics and methodologies to measure the performance of the fine-tuned legal domain model.
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Conduct rigorous testing and validation to ensure the model’s effectiveness in legal text comprehension, summarization, contract analysis, and related tasks.
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Iterate on the fine-tuning process by fine-tuning hyper-parameters and architecture choices to improve model performance.
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Develop evaluation metrics and methodologies to measure the performance of the fine-tuned legal domain model.
- Student from a major engineering school or equivalent master's degree
- You have advanced technical skills in Applied Mathematics (Machine Learning / Optimization)
- Your have a solid knowledge of Python and can write quality code
- Your have a good knowledge of Deep Learning frameworks (Preferably pytorch and transformers)
- You have a previous experience in Machine Learning (personal/school project or a previous internship)
- Previous knowledge of Natural Language Processing is a big plus
- You like reading research papers and implement state-of-the-art models and like sharing your research findings with fellow team members
- You like writing scientific papers/blog posts and contribute to the community
- Recruitment process :
What we offer:
- Join a fast-growing company in a friendly, international environment (offices in France, Italy, Spain, Canada as well as Dubai and Mexico);
- Our "Telework Charter" guarantees that you can find the right balance between "Onsite" and "Remote";
- Last but not least, all the day-to-day benefits of the CSE, luncheon vouchers, profit-sharing bonuses, etc.
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