Software Engineering Internship - AI Platform

Twin – Research Engineering Internship Core Platform · Paris / Hybrid / Remote (Europe) About Twin Twin builds autonomous agents that are reliable and scalable enough for companies to actually delegate work to them. We engineered the first commercial agent deployed to 500k SMBs — Invoice Operator — achieving 95%+ accuracy at a fraction of the human cost. Over the coming months, we expect this first agent alone to automate millions of man-hours. To achieve this, we've built, among other things: * A Rust-based browser infrastructure, maintaining low latency at high scale and concurrency * A password manager enabling secure and automated agent authentication, including solving 2FA * A graph-based agent framework, making complex agents robust through modularity and decoupling * A self-correcting infrastructure, allowing agents to learn from mistakes and continuously improve as they encounter new challenges Founded in 2024, we've raised €12M from LocalGlobe and the founders of companies like Hugging Face, Datadog, and Alan. Our ambition: launch and distribute the next generation of high-impact agents, and become the trusted layer where autonomous work runs. About the Core Platform team The Core Platform team builds the foundational infrastructure powering Twin's high-performance, Rust-based agent engine. This engine manages browser automation, communication between agents and humans, and the evaluation and testing pipelines that keep our agents best-in-class. The team's objective is to continuously improve speed, cost, and reliability at scale — and lay the groundwork for training our own advanced models that will outperform the current state of the art. About the position This is first and foremost a software engineering role — but one with a clear long-term target: the systems you build here will directly enable us to train our own world-class browsing agents, surpassing current industry benchmarks in both performance and reliability. In the short term, you'll work on the engineering foundations: better data pipelines, smarter evaluation frameworks, and reliability tooling. In the long term, that work will fuel the datasets, metrics, and insights that make our models the best in the world. Main challenges * Build sophisticated Rust-based data filtering & evaluation systems to identify the highest-quality agent interactions for training * Develop large-scale pipelines to collect, process, and analyze browsing behavior in real time * Create evaluation frameworks to measure and compare agent decision quality — and feed those insights back into model training * Solve complex reliability and performance issues with elegant engineering approaches that translate into better datasets and smarter agents Requirements Must-have * Strong software engineering skills and experience shipping reliable code * Creative problem-solving mindset — knowing when engineering beats brute-force model training * Comfortable in lower-level languages (Rust experience a plus) * Interest in AI agents and belief that great models start with great systems * Ability to work fast and autonomously * Based in Paris or willing to spend your first month+ in our office (remote/hybrid possible after onboarding) Nice to have * Experience with Rust (any level) * Previous production experience in any technology stack * Understanding of ML concepts (for future model training context) * Experience in data processing, evaluation, or testing infrastructure No production experience yet? Show us you're exceptional through personal projects, open-source contributions, competitive programming, or other evidence of your ability to solve complex problems with speed and elegance.

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.