AI Research Scientist
Opportunity: AI Research Scientist
Our client is an
- stage AI startup developing
- edge technology to bring responsible AI into the legal sector. With a strong focus on safety, transparency, and verifiability, they're building
- generation retrieval systems to support legal professionals in their daily workflows. They're now looking for a researcher to help advance trustworthy AI in a
- impact,
- stakes domain.
Responsibilities:
- Develop novel retrieval techniques to provide users with
- quality, explainable, and verifiable information from large knowledge bases. - Explore advanced embedding and attention mechanisms to improve interpretability and alignment with user intent.
- Investigate reinforcement learning and other approaches to train retrieval systems with a focus on safety, transparency, and reliability.
- Collaborate with our internal research team and research partners on multiple ongoing projects.
- Produce
- quality scientific papers for
- tier NLP and AI conferences and journals.
Profile sought:
You're a highly motivated and curious researcher with a strong NLP, Deep Learning, and Information Retrieval background. You’re driven by impact, love complex challenges, and care about building technology responsibly - especially in
- stakes domains like law.
Education:
A Master’s degree in Ms
C in Computer Science, Mathematics, or related field.
Experience:
- Hands-on experience developing and training NLP and Deep Learning models.
- Familiarity with LLMs and retrieval systems.
- Research experience with publications in
- tier conferences/journals is a plus.
Nice to have:
- Proficient in deep learning frameworks such as Py
Torch, Jax, or Tensor
Flow. - Strong knowledge of NLP techniques and recent advances in LLMs.
- Bonus: experience with reinforcement learning and attention mechanisms.
Benefits & Culture:
- A commitment to diversity and equal opportunity.
- A vibrant, inclusive environment that fosters innovation and continuous learning.
- Opportunities for professional growth and skill development.
Department: Tech
Location: Lisbon, hybrid model
Starting date: ASAP
#J-18808-Ljbffr- Informações detalhadas sobre a oferta de emprego
Empresa: login.works Localização: Lisboa
Lisboa, Lisboa, PortugalPublicado: 23. 5. 2025
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