Research Engineer, Applied AI

kapa.ai; Italia; In loco; EUR 85.000 - 128.000; Tempo pieno

Descrizione del lavoro

A forward-thinking AI solutions company located in Italy is seeking a research engineer to enhance their AI's ability to address complex technical questions. Candidates should have a Master's or PhD in Computer Science or related fields and significant experience in machine learning and natural language processing. This is an exciting opportunity to work alongside the founding team and tackle innovative challenges in AI and retrieval systems.

Competenze

• Master's/PhD in relevant field required.
• In-depth understanding of machine learning and deep learning.
• Experience in deploying large language models.

Mansioni

• Work on improving Kapa’s ability to answer technical questions.
• Evaluate systems in production without labelled data.
• Design and run experiments on AI systems.

Conoscenze

Machine learning

Deep learning

Natural language processing

Training large language models

Information retrieval techniques

Formazione

Master's/PhD degree in Computer Science or related field

Descrizione del lavoro

100,000.00 USD/yr - 150,000.00 USD/yr

Kapa makes technical knowledge instantly accessible through AI assistants. As a research engineer, you will work on improving Kapa’s ability to answer harder technical questions. Check out Docker’s documentation (https://docs.docker.com) for a live example of what Kapa is (look for the “Ask AI” button).

The Following Challenges Should Excite You

• Evaluating a RAG system in production without labelled data.
• Creating your own benchmark from scratch.
• Building an agentic retrieval system that can judge when to be fast and when to take more time.
• Fine-tuning embeddings or re-rank models.

To Solve These Challenges You Will

• Work directly with the founding team and our software engineers.
• Keep up with the latest developments in the space and see how they can be applied.
• Design and run experiments.

You May Be a Good Fit If You Have

• A Master's/PhD degree in Computer Science, Machine Learning, Mathematics, Statistics, or a related field.
• A detailed understanding of machine learning, deep learning (including LLMs), and natural language processing.
• Hands-on experience in training, fine-tuning, and deploying large language models.
• Prior experience working with vector databases, search indices, or other data stores for search and retrieval use cases.
• Significant experience building evaluation systems for LLMs or search.
• Familiarity with various information retrieval techniques, such as lexical search and dense vector search.
• The ability to work effectively in a fast-paced environment where things are sometimes loosely defined.
• Want to learn more about machine learning research.
• This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to kapa.ai, please reach out.