Applied Research Scientist

Alinia AI; Almería; A distancia; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

A tech-driven AI company is seeking an Applied Research Scientist to innovate in LLM evaluation and alignment. The ideal candidate will possess a Master's in a related field, proven experience in AI, and strong programming skills in Python. This remote position offers a competitive salary and equity in a high-impact role, ideal for those looking to contribute to cutting-edge AI technologies.

Servicios

Competitive compensation

Equity options

High-impact role

Formación

• Demonstrated research capability with publications in reputable AI, ethics, or machine learning conferences and journals.
• Experience with synthetic data augmentation methods to enhance LLM evaluation.
• Ability to align LLMs through supervised fine-tuning and preference optimization.

Responsabilidades

• Innovate evaluation methods to assess LLMs along multiple alignment dimensions.
• Document research and share findings with the team.
• Work closely with the product development team to implement AI strategies.

Conocimientos

Proven experience in LLMs, ML, or NLP

Strong programming skills in Python

Understanding of alignment and evaluation methodologies

Educación

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

Herramientas

TensorFlow

PyTorch

JAX

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