Applied Researcher
hace 1 semana
At Alinia, our Applied Research Scientists 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. Applied Research Scientists are action-oriented and hands-on, tasked with developing practical AI tools that solve the main challenges our customers encounter with the safe and responsible deployment of LLM applications and that can be seamlessly integrated into our Platform. This role is designed for those ready to apply their expertise actively and decisively within a dynamic development environment.
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.
Requirements
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.
Nice to have:
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.
Why Join Alinia?
Cutting-edge tech: Work on one of the most important challenges in AI—alignment, safety, and trustHigh ownership & growth: Be a core part of the early engineering team with massive upsideFlexible work: Hybrid or remote work, with preference for CET time zoneCollaborative culture: Small, experienced, mission-driven teamImpact: Directly shape the technical foundation of an AI governance platform adopted by enterprises
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