Applied Research Scientist

Alinia AI; Tarragona; A distancia; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading AI solutions company is hiring an Applied Research Scientist to develop AI technologies and advance the Alignment Platform. The role involves innovating evaluation methods and aligning Large Language Models (LLMs). Candidates should have an MSc in a relevant field and proven experience in LLMs, ML, or NLP. Strong programming skills in Python are essential. Remote work with competitive salary and equity offered.

Servicios

Competitive compensation

Equity opportunities

High-impact role

Formación

• Demonstrated research capability with publications in reputable AI, ethics, or machine learning conferences.
• Experience in ML or NLP.
• Contributions to open-source projects or public datasets in AI.

Responsabilidades

• Innovate and refine evaluation methods that assess LLMs.
• Create robust techniques for synthetic data augmentation.
• Develop approaches for aligning LLMs through supervised fine-tuning.
• Document research projects and share findings with the team.

Conocimientos

Proven experience in LLMs

Strong programming skills in Python

Experience with ML frameworks (TensorFlow, PyTorch, JAX)

Educación

MSc in Computer Science, AI, Linguistics or related field

PhD in Computer Science, AI, Linguistics or related field

Descripción del empleo

Overview

Location : Remote (EU / US friendly time zones) | Full-time

At Alinia AI, we help enterprises in finance, insurance, and healthcare deploy generative AI safely and responsibly. Our platform provides alignment guardrails and compliance monitoring to ensure AI systems are trustworthy.

We are hiring an Applied Research Scientists to play a pivotal role in creating the AI intellectual property and technologies that drive the development of Alinia's Alignment Platform. This role demands a profound understanding of LLMs, their evaluation, and effective alignment with a given set of values and policies.

What you’ll do

• Innovate and refine evaluation methods that assess LLMs along multiple alignment dimensions.
• Create robust techniques for synthetic data augmentation to enhance the assessment of LLMs.
• Develop streamlined approaches for aligning LLMs through supervised fine-tuning and preference optimization.
• Document research projects, progress, and experimentation results and share findings with the broader team.
• Work closely with the product development team to transform research insights into actionable AI solutions and strategies for the Alinia Platform.
• Keep up-to-date with the latest trends and developments in LLM evaluation, alignment, optimization, and related technologies.

What we’re looking for

• MSc in Computer Science, AI, Linguistics, or a related field.
• Proven experience in LLMs, ML, or NLP.
• Demonstrated research capability with publications in reputable AI, ethics, or machine learning conferences and journals.
• Strong programming skills in Python.
• Experience with ML frameworks such as TensorFlow, PyTorch, or JAX.

Preferred qualifications

• PhD in Computer Science, AI, Linguistics, or a related field.
• Contributions to open-source projects or public datasets in the field of AI.
• First-author publications at peer-reviewed AI conferences.

Remote | Competitive comp + equity | High-impact role

To apply send your resume to [e-mail]