Design, implement, and evaluate applied research projects to improve alignment, safety, and evaluation of LLM-based guardrails. Work on experiments (e.g., synthetic data quality metrics, explanations for blocked content), deliver results with mentor guidance, and present findings to the team to shape product capabilities.
About Alinia
Role Overview
Minimum Qualifications
Preferred Qualifications
Why Join Alinia?
We are an early-stage AI startup on a mission to enable 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 envision a future where compliance is encoded in any autonomous system, steered by human experts. The goal is to augment 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 Hugging Face.
At Alinia, our Applied AI Research Interns play a pivotal role in exploring new possibilities and capabilities for Alinia's Alignment Platform. This role demands a scientific mindset, 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 provide guidance, planning, and support. Interns will also be expected to participate in weekly meetings where they will share progress and present results. This role is designed for students who are ready to apply their expertise actively and decisively within a dynamic development environment.
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 complex task with applied research at the center.
As an Applied AI Research Intern at Alinia, you will experimentally design, develop, 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 provide post-hoc rationales for why content was blocked.
- Pruning and quantization of LLMs without sacrificing out-of-distribution performance.
We strive to create intern projects that provide the right mix of problem solving, learning, and real-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 make direct contributions to a real-world product. Your work will directly shape the art of the possible for our customers and their clients.
- MS student in Computer Science, AI, Linguistics, or a related 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).
- PhD student 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.
- Experience with synthetic data generation, LLM as a judge frameworks, LLM post-training.
- Experience with explainable AI (XAI).
- 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, experienced, mission-driven team
- Impact: Directly shape the technical foundation of an AI governance platform adopted by enterprises
Similar Jobs
Artificial Intelligence • Big Data • Cloud • Information Technology • Machine Learning • Software
Leads Nexthink’s global indirect procurement strategy, category management, sourcing, supplier negotiations, governance, and Procure-to-Pay capabilities. Builds and develops a high-performing Category Management team, partners with executives across business functions, drives savings and cost avoidance, strengthens supplier performance and risk management, and establishes procurement KPIs and reporting. The role is based in Madrid with global responsibility across technology, SaaS, cloud, professional services, marketing, HR, and workplace categories.
Top Skills:
Erp SystemsNetSuiteProcurement Systems
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Lead enterprise Dynatrace programs for Fortune 100 clients by planning and accelerating software deployments, coordinating consultants, architects, partners, and client stakeholders, and driving adoption and operational strategy. Manage engagement goals, meetings, resources, service delivery, workshops, and digital transformation initiatives. Guide teams through people and process changes, track value and ROI, and identify expansion opportunities while ensuring successful enterprise observability rollouts.
Top Skills:
Application SecurityAWSDevOpsDynatraceGCPItsmMicrosoftObservabilityPmiSaaS
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Lead enterprise-scale Dynatrace architecture engagements, assessing customer environments, designing observability and cloud solutions, guiding implementations, troubleshooting performance issues, and leading customer engineering teams. Collaborate with product engineering to address functional gaps, develop automation and deployment processes, contribute hands-on code, and share architecture best practices across consulting teams. The role requires expertise in cloud, networking, containers, monitoring, infrastructure, application performance, and enterprise technology consulting.
Top Skills:
AngularAnsibleArgocdAWSAws LambdaAzureBackstageC#DockerDocker SwarmDynatraceEcsFargateGCPJavaJavaScriptKubernetesNode.jsOpenshiftPuppetReactSQLTerraformTfs
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
