Applied Research Scientist

Alinia AI; Santander; A distancia; EUR 76.000 - 112.000; Jornada completa

Descripción de la vacante

A tech-focused company is seeking an Applied Research Scientist to enhance AI systems with a remote, full-time role. Responsibilities include innovating evaluation methods for LLMs and collaborating with product teams to implement research insights. Candidates should have an MSc in a relevant field, proven experience in LLMs, and strong programming skills. This role offers competitive compensation and equity in a high-impact environment.

Servicios

Competitive compensation

Equity opportunities

High-impact work

Formación

• Proven experience in LLMs, ML, or NLP.
• Demonstrated research capability with publications in reputable AI, ethics, or machine learning conferences.
• Contributions to open-source projects or public datasets in the field of AI.

Responsabilidades

• Innovate and refine evaluation methods for LLMs.
• Develop techniques for synthetic data augmentation.
• Collaborate with product development to turn research insights into actionable strategies.

Conocimientos

Understanding of LLMs

Strong programming skills in Python

Experience with ML frameworks (TensorFlow, PyTorch, JAX)

Educación

MSc in Computer Science, AI, Linguistics, or a related field

PhD in Computer Science, AI, Linguistics, or a 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 Scientist 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.

Responsibilities

• 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