ML Research Intern in Agentic Runtime Systems

Constructor Knowledge Labs

Constructor Knowledge Labs (CKL), Bremen, Germany In collaboration with Constructor University and Constructor Technology Duration: Flexible ABOUT THE POSITION Constructor Knowledge Labs (CKL) invites applicants for a research internship in the area of knowledge discovery and representation, with a focus on transforming unstructured data into interpretable, navigable, and actionable cognitive structures. The internship is embedded in an active research direction jointly developed with Constructor University and Constructor Technology, exploring how modern AI systems (particularly large language models and graph-based methods) can be used to construct shared cognitive maps from heterogeneous knowledge sources such as scientific publications, educational materials, and digital artifacts. The intern will work closely with researchers and engineers on ongoing research activities, contributing to the design, implementation, and evaluation of methods for knowledge representation, semantic structuring, and adaptive reasoning. The position offers hands-on exposure to applied research at the intersection of AI, knowledge graphs, and human-centered knowledge systems. ---------------------------------------------------------------------------------------------------------------------------------- MAIN RESPONSIBILITIES: * Prepare and organize research data, including text collections, research publications, datasets, and related metadata, for use in analytical and modeling tasks. * Work with unstructured and semi-structured data, supporting its analysis and transformation into structured representations such as knowledge graphs, semantic annotations, or concept mappings. * Assist in selected research experiments and analytical tasks related to knowledge discovery, reasoning, or information extraction, under supervision. * Conduct literature review and support research documentation, with potential contribution to internal reports or academic publications. ---------------------------------------------------------------------------------------------------------------------------------- REQUIREMENTS: * Currently enrolled in a BSc or MSc program in Computer Science, Data Science, AI/ML, or a closely related field. * Solid programming skills, preferably in Python. * Basic familiarity with machine learning concepts and data processing workflows. * Strong analytical thinking and interest in research-oriented work. * Good written and spoken English. ---------------------------------------------------------------------------------------------------------------------------------- WE OFFER * Research internship with flexible duration in an international, interdisciplinary research environment. * Participation in active research projects at the intersection of AI, knowledge systems, and applied research, with a clearly scoped internship-level contribution. * Close supervision and mentoring by leading PIs and senior researchers, whose work shapes current research agendas and attracts significant scholarly attention and citations. * Opportunity to contribute to academic publications, embedded in established research groups with consistent presence at top-tier conferences and journals. * Flexible working arrangements, including hybrid or remote options. ---------------------------------------------------------------------------------------------------------------------------------- APPLICATION DETAILS Please submit the following documents in English: * CV * Short motivation letter (max. 1 page) explaining your interest and relevant skills * Transcript of records (GPA obligatory) Deadline for full consideration: Applications are reviewed on a rolling basis

H

PhD - Graduation/Final year Internships available in our Research lab. What we're looking for: * PhD (completed or near completion) in Computer Science, Machine Learning, Mathematics, or a related field. * Published in top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP, ICCV, CoRL). * Strong research and/or research engineering experience at leading ML research labs. About H: H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries. About our Team: Our Models team builds the foundational models that power our cutting-edge agentic technology. We focus on training techniques to optimize model capabilities specifically for agent applications. This allows us to achieve the best performance at a given inference cost. Our work spans the development of Large Language Models (LLMs) and Vision-Language Models (VLMs), enabling agents to perceive, understand, and act within complex environments. We are deeply involved in enhancing these models through training methods with a focus on improved instruction following, tool use, and interaction with dynamic environments via large-scale reinforcement learning and reward modeling. We operate at the intersection of research and product, translating cutting-edge research into practical solutions that drive the next generation of AI. We are looking for bright, motivated individuals to join our ranks and shape the future of superintelligent AI. Research areas include: • Post-training & reinforcement learning, off-policy robustness • Self-verification and learning from feedback • Synthetic data generation at scale • Efficient reasoning • World modelling & Env generation Alongside interesting research, you’ll enjoy a very high GPU-to-researcher ratio. We are excited to tell you more ! Location: * London What We Offer: * Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups. * Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment. * Unlock opportunities for professional growth, continuous learning, and career development. If you want to change the status quo in AI, join us.

Bynder

At Bynder, we don’t just store creative assets; we enable brands to deliver exceptional content experiences that drive business impact. In an era of exploding content volume and complexity, the world’s most iconic brands, including Spotify, Campari, and Lacoste, trust Bynder as their single source of truth for creative content. Our industry-leading DAM platform serves as the strategic engine for brand governance and control. We are leading the shift from management to AI-powered content orchestration. By integrating human-led, customizable AI Agents directly into our enterprise-grade infrastructure, we enable brands to augment their workforce and intelligently automate high-effort workflows without sacrificing brand integrity. We turn creative content into intelligent assets that accelerate personalization and drive measurable business outcomes. Ready to grow your career by helping the world’s leading brands deliver exceptional content experiences? Join our global team of 600+ ‘Byndies’ and help 4,000+ organizations work smarter with their content. Explore this opportunity and apply now to join our team. ABOUT THE ROLE Bynder Labs is the applied AI research and prototyping team within Bynder. Our mission is to turn frontier AI research into production-grade capabilities that change how teams create, manage, and activate brand content on our Digital Asset Management (DAM) platform. We work across the full AI stack: foundational components like embeddings, semantic search, and knowledge graphs, and higher-level capabilities like agentic AI workflows, AI-assisted search, brand compliance agents, and integrations with external AI platforms via the Model Context Protocol (MCP). Our work runs on AWS at enterprise scale and reaches Bynder's customers some of the largest brands in the world. As an AI Research Intern at Bynder Labs you will be paired with a Machine Learning Engineer/Data Scientist as your daily mentor, embedded in real epics on our roadmap, and given the autonomy to take ownership of a meaningful slice of work. Depending on your interests and where the team needs leverage, your project may sit anywhere along our roadmap. Some examples are evaluating embedding models for AI Search, contributing to our Brand Compliance Agent, building evaluation harnesses for agentic systems, exploring prompt optimization algorithms, extending our LLM observability stack, or prototyping MCP-based integrations. WHAT YOU WILL DO * Take ownership of a focused research question on the Bynder Labs roadmap and drive it from literature review and prototyping through to evaluated experiments * Build prototypes and experiments using modern AI tooling, large language models on AWS Bedrock, embedding models, vector search on OpenSearch, agent orchestration frameworks, and the Model Context Protocol (MCP). * Design rigorous evaluations for non-deterministic AI systems, including offline benchmarks, LLM-as-a-judge pipelines, and online experiments on real data. * Stay up to date with recent research, summarise them for the team, and decide which ideas are worth implementing. * Contribute clean, well-tested Python code to shared Labs repositories and follow the engineering practices used by the rest of Bynder R&D. * Use our observability stack to understand how AI systems behave in production and propose improvements when they don't behave well. * Communicate clearly: write up findings in concise documents, present results at Labs reviews, and translate technical work into language non-technical stakeholders can act on. * Be proactive and propose improvements to your project, to our internal tooling, to the way we run experiments. Bynder Labs runs on initiative. * Collaborate with engineers and product managers from other Bynder squads to ship work that lands. WHAT YOU HAVE * You need to be available for a 6 months long full-time internship from July 2026 * You need to be enrolled in a Dutch university throughout the whole duration of the internship, and the internship needs to count toward your study credits (e.g. via a learning agreement or stage-overeenkomst). * You are based in the Netherlands. You are studying Artificial Intelligence, Computer Science, Data Science, Information Studies, Computational Linguistics, Econometrics with a quantitative ML track, or a closely related programme at a Dutch university. * You have completed (or are completing) coursework in machine learning fundamentals and deep learning, plus at least one of: Information Retrieval, Natural Language Processing, Multi-Agent Systems, Reinforcement Learning, Knowledge Representation, or Software Engineering for ML. * Strong Python skills. Comfortable with Git, the command line, and reading other people's code. Familiarity with at least one ML or LLM framework is expected or the ability to pick one up quickly. * Good interpersonal and communication skills. * Enthusiastic and passionate about their job and the work they are doing. * Team player to help the team accelerate. * Ability to collaborate with teammates from other disciplines to produce results. * Advanced in the English language. * Joining the Amsterdam or Rotterdam office for the team's anchor day each week. NICE TO HAVE * Hands-on experience with vector databases or building a small RAG system end-to-end. * Built something with LLM tool use, function calling, or MCP * Familiarity with prompt optimisation literature or LLM observability tooling * Cloud experience, AWS preferred WHY YOU'LL LOVE BYNDER! At Bynder, innovation is in our DNA. We've worked hard to build an environment that promotes creative thinking and self-initiative within a culture of fun. It's common to find colleagues hanging out after work - if you believe in "be nice, work hard, have fun", you'll have an office full of friends. WHAT WE OFFER * An exciting position in an international agile organization and expansive entrepreneurial freedom. * Latest technologies, Apple gear and industry training. * A dedicated mentor from the senior Bynder Labs team, with weekly 1:1s and a clear development plan. * Free in-office lunch and drinks. * Travel expenses. * Great offices in the center of Amsterdam and Rotterdam. * Flexible working hours. * Competitive internship fee. OUR COMMITMENT Bynder Love is the principle that guides the way we grow our teams, support our employees, and celebrate our differences. At Bynder we strive to create a culture that embraces every Byndie because differences in background, experience, and perspective make Bynder even better. At Bynder a diverse, inclusive, and equitable workplace is one where all employees, whatever their ethnicity, color, sex, age, religion, disability, sexual orientation, gender identity, national origin, or physical and mental ability are valued and respected. Our commitment is for all Byndies to have the freedom to be their true authentic selves. Just as we are never finished innovating, Bynder's commitment to being An Even Better Bynder is a constant, evolving commitment that includes education, listening, and action.