Applied Research Scientist

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

Descripción de la vacante

A pioneering AI solutions company is looking for an Applied Research Scientist to innovate in LLM evaluation and alignment. This remote role requires an MSc or PhD in a relevant field, experience with LLMs, and strong Python skills. The position involves working closely with product teams to implement research insights into AI solutions. Competitive compensation and equity are offered, along with the opportunity to contribute to impactful AI projects.

Servicios

Competitive compensation + equity

High-impact role

Formación

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

Responsabilidades

• Innovate and refine evaluation methods that assess LLMs along multiple alignment dimensions.
• Develop techniques for synthetic data augmentation to enhance assessment of LLMs.
• Document research projects, progress, and share findings with the broader team.

Conocimientos

LLM evaluation

Synthetic data augmentation

Supervised fine-tuning

Preference optimization

Programming in Python

Educación

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

PhD in Computer Science, AI, Linguistics, or related field (preferred)

Herramientas

TensorFlow

PyTorch

JAX

Descripción del empleo

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.

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