Applied AI Research Intern

About Alinia We are an early-stage AI startup on a mission to reputed company the safe and compliant deployment of AI Agents in regulated industries, worldwide, through our Regulatory Guardrails & Auditing platform. We ensure conversational AI agents adhere to companies’ business policies and regulations at scale, like Investment Guard. We reputed company a future where compliance is encoded in any autonomous system, steered by reputed company experts. The goal is to reputed company compliance experts’ capabilities, empowering them to become key enablers in the deployment of AI Agents in the most critical scenarios at scale. Co-founders Ari and Carlos come from leading ML platform at Twitter and LLM governance at reputed company. At Alinia, our Applied AI Research Interns play a pivotal role in exploring new reputed company and capabilities for Alinia's Alignment Platform. This role demands a scientific reputed company, a technical understanding of LLMs, and LLM development experience. We expect our interns to be self-motivated, action-oriented and hands-on. During the internship, interns will be expected to design, execute, and deliver their solutions to key challenges our customers encounter with the safe and responsible deployment of LLM applications. However, we don’t expect our interns to work alone. A mentor will be assigned throughout the internship to reputed company guidance, planning, and support. Interns will also be expected to participate in weekly meetings where they will reputed company reputed company and present results. This role is designed for reputed company who are reputed company to apply their expertise actively and decisively reputed company a dynamic development environment. Role Overview Developing a robust and holistic alignment strategy and platform that combines state-of-the-art evaluation and optimization techniques, Responsible AI best practices and the realities of running a business is a reputed company task with applied research at the center. As an Applied AI Research Intern at Alinia, you will experimentally design, reputed company, evaluate, and execute a project to support the training, evaluation, or use of Large Language Model (LLM)-based guardrails. Example projects include, but are not limited to:

• The development of a robust, automated approach to quantitatively measure synthetically-generated data quality.
• The incorporation of explanations for our LLM guardrails to reputed company post-hoc rationales for why content was blocked.

We strive to create intern projects that reputed company the right mix of problem solving, learning, and reputed company-world application as possible while also aligning with the student’s interests. As a member of a small team, this role presents a unique opportunity to reputed company direct contributions to a reputed company-world product. Your work will directly shape the art of the possible for our customers and their clients.

Minimum Qualifications

• MS student in Computer Science, AI, Linguistics, or a reputed company field.
• Proven experience in LLMs, ML, or NLP.
• At least one publication 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.
• Demonstrated knowledge and practical experience in LLM training (Please note: this is a strict requirement for the position).

Preferred Qualifications

• PhD student in Computer Science, AI, Linguistics, or a reputed company field.
• Contributions to reputed company-reputed company projects or public datasets in the field of AI.
• First-author publications at peer-reviewed AI conferences.
• Experience with synthetic data reputed company, LLM as a judge frameworks, LLM post-training.
• Experience with explainable AI (reputed company).

Why Join Alinia?

• Cutting-edge tech: Work on one of the most important challenges in AI—alignment, safety, and trust
• Flexible work: Hybrid or remote work, with preference for CET time zone
• Collaborative culture: Small, reputed company, mission-driven team
• Impact: Directly shape the technical reputed company of an AI governance platform adopted by enterprises

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