AI/ML Engineer Intern

Awin

Purpose of position Data sits at the heart of the company. This role ensures that Awin can fully leverage the data available across the group, enabling the development of robust reporting capabilities that support stronger commercial decision making and elevate campaign management for client facing teams. As an AI/ML Engineer, you will be responsible for researching, designing, building, and automating predictive models, as well as establishing metrics to monitor model performance and accuracy. You bring strong communication and analytical skills, work effectively both independently and within a team, and contribute proactively to improving engineering standards and working practices. You possess a deep understanding of data and business requirements and can translate these into clear technical specifications. You write clean, maintainable, and high quality code, and you are capable of implementing a wide range of data extraction, transformation, and storage methodologies. Your expertise enables you to develop new predictive models while also enhancing and optimizing existing ones. In this role, you will break down complex requirements into structured, actionable tasks. As part of the Data Services department, you will collaborate with a global team of data engineers, data analysts, and other big data specialists across the organisation.   Key Tasks & responsibilities * Write clean, elegant and maintainable code with Data engineering and AI/ML best practices * Understanding business objectives and developing models that help to achieve them, along with the creation and monitoring of business relevant metrics * Find new ways solve complex business problems with self improving automated predictive models. * Evaluate existing models and recommend improvements for better result and performance efficiency * Develop best practices for building and orchestrating predictive models. * Be responsible for quality, accuracy and interpretation of the result sets.   Education & experience * Bachelor’s degree or higher in Data Science, Data Engineering or a related field, preferably with a strong focus on mathematics, statistics, or data engineering. * 2+ years experience as data engineer on AI/ML project with Python * Strong experience using Databricks, including Jobs, Asset Bundles, Delta Lake, and MLflow, as well as Azure data engineering tools such as Azure Data Factory and Azure Data Lake Storage (ADLS). * Solid understanding of Scrum practices and a strong Agile mindset. * Advanced proficiency in Python and its key data and ML libraries (NumPy, PySpark, Scikit learn, TensorFlow/PyTorch) * Working knowledge of generative AI models (e.g., ChatGPT, Claude), Databricks GenAI tooling (including embedding models), and modern data structures such as vector databases. * Strong expertise in designing end to end ETL solutions using Databricks, including identifying, extracting, and curating datasets for machine learning model development. * Strong knowledge of cloud platforms (Azure and AWS) and relevant services. * Hands on experience with big data technologies, including Databricks and Spark.   Skills & Core competences * Very strong analytical skills to translate business need into actions with proactive approach to task and challenges, delivering project on time and budget * Very strong understanding of the principles of machine learning * Create mind-set to bring new ideas and push the machine learning project to next level * Willing to change, learn and start initiatives * Ability to face existing challenges self-reliant with the courage to take autonomous decisions if needed * Very strong communication and interaction skills * Very strong project and process management competency, keen to deliver your project on time/budget without compromising on quality and results * Team player, willing to improve yourself   Our Offer * Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves. * Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately. * Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions * Meal Vouchers: You will be supported with a certain net sum to spend it on a variety of lunches. * Health & Wellbeing: The insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member. * Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location * Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program. Established in 2000, Awin is proud of our dynamic, social and inclusive culture. Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities. Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know. Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why   Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development. #LI-RS1

Prior Labs

WHO WE ARE Foundation models transformed text and images. Structured data - the largest and most consequential data format in the world - stayed untouched. Tables run every clinical trial, every financial model, every scientific experiment, every business decision, and no one had built a foundation model that truly understood them. Until now. What LLMs did for language, we're doing for tables. The next modality shift in AI is happening, and we're hiring the team that makes it. Momentum. We pioneered tabular foundation models and are now the world-leading organization in structured-data ML. Our TabPFN v2 model was published as a Nature cover story and set a new state of the art for tabular machine learning. Since release we've scaled model capabilities 20x+, passed 3.5M+ downloads and 7,500+ GitHub stars, and are seeing accelerating adoption across research and industry - from detecting lung disease with Oxford Cancer Analytics to preventing train failures with Hitachi to improving clinical-trial decisions with BostonGene. The hardest work is ahead. We're scaling tabular foundation models to millions of rows, thousands of features, real-time inference, and entirely new data modalities, while building the infrastructure to run them in production across some of the most demanding industries on earth. These are open problems no one else is working on at this level. Our team. We're a small, highly selective team of 30+ engineers, researchers, and GTM specialists, with backgrounds spanning Google, Apple, Amazon, DeepMind, Meta, Microsoft Research, G-Research, Jane Street, Goldman Sachs, and CERN. We're led by Frank Hutter, Noah Hollmann, and Sauraj Gambhir, and advised by world-leading AI researchers including Bernhard Schölkopf and Turing Award winner Yann LeCun. We ship fast, do top-tier research, and hold each other to an extremely high bar. What's next. In 2025 we raised €9m pre-seed led by Balderton Capital, backed by leaders from Hugging Face, DeepMind, and Black Forest Labs. The next phase of growth is here, which makes this an ideal time to join. ABOUT THE ROLE Most companies treat open source as a side job for researchers who'd rather be doing something else. We think that's wrong. Prior Labs is rooted in open source — TabPFN started as a research project the community adopted, and that's how we became a company. Language models and image models have had years to build out their ecosystem interfaces and integrations. For tabular foundation models, none of that exists yet. You're not plugging into existing patterns — you're creating them. The engineering is genuinely hard: TabPFN does in-context learning, not traditional fit/predict, so wrapping it behind a clean sklearn interface means solving problems no other library has solved. You're designing APIs for a model whose architecture evolves faster than users can upgrade, and making inference robust to the full chaos of real-world tabular data. You understand the model deeply enough to push back when something will break downstream, and you care enough about the details to write great docs and error messages on top of great code. What you'll work on: * Design sklearn-compatible APIs around a foundation model that doesn't behave like a traditional estimator — solve the hard abstraction problems so the interface feels simple * Build and maintain PyTorch serialization, HuggingFace Hub model distribution, and checkpoint management across a multi-model, multi-version ecosystem * Build MCP and tool-use wrappers for agentic AI pipelines * Model-adjacent ML engineering: preprocessing pipelines, inference wrappers, dtype handling, edge case hardening against real-world data * Own releases, CI, testing, and docs across the TabPFN ecosystem — TabPFN (core), tabpfn-client, tabpfn-extensions, tabpfn-time-series * General ML engineering: benchmarking, evaluation pipelines, data loading, tooling that makes the team faster You may be a good fit if you have: * 3+ years building and maintaining Python packages or ML libraries used by others (open source track record strongly preferred) * Deep fluency in PyTorch, scikit-learn, pandas, NumPy — their internals, extension points, and failure modes, not just their APIs * Strong software engineering: testing, CI/CD, packaging (pyproject.toml, uv), semantic versioning, multi-version Python support * Comfortable reading and working with model code — forward passes, checkpoint loading, inference optimization — and forming opinions about it * Solid ML fundamentals: enough to write correct preprocessing, catch data leakage, and push back on design choices that break downstream * Genuine care about developer experience: you write great docs and great error messages because you think they're engineering, not chores Bonus: * Maintainer or significant contributor to a popular open source ML/data library * Strong AI tooling skills — you use Claude Code, Cursor, or similar fluently to move fast * MCP server or tool-use integration experience * HuggingFace Hub model distribution experience * Background in tabular data, AutoML, or time series * Experience debugging cross-platform packaging, or contributing to PyTorch/sklearn core Life at Prior Labs We're a small, ambitious team solving one of the hardest problems in AI, and we're just getting started. You'll work closely with world-class researchers and builders who care deeply about the quality of their craft, the impact of their work, and the people they work with. We move fast, we think rigorously, and we take the time to do things right. If you're excited by hard problems, motivated by real-world impact, and want to be part of building something that matters, we'd love to hear from you. We're building our teams in Berlin, Freiburg, and New York and we believe that when you're working on something as hard and exciting as TabPFN, being in the same room matters. Most of our roles are based in one of our offices but great people come from everywhere, and in exceptional cases we're open to remote. This usually involves frequent travel to one of our offices and the whole company comes together regularly for offsites to think, build, and celebrate together. Our Commitments We believe the best products and teams come from a wide range of perspectives, experiences, and backgrounds. That's why we welcome applications from people of all identities and walks of life, especially anyone who's ever felt discouraged by "not checking every box." We're committed to creating a safe, inclusive environment and providing equal opportunities regardless of gender, sexual orientation, origin, disability, or any other trait that makes you who you are. We care about how your data is handled. Read our Recruiting Privacy Notice to see exactly what we collect, why, and how long we keep it.

IDnow

IDnow is a leader in digital identity and fraud prevention in Europe with a mission to transform trust into the most powerful asset in the digital world, empowering enterprises with AI-driven, SaaS-based identity solutions that deliver scalable security, adaptive compliance, and real-time fraud prevention. Through its broad portfolio of digital identity and fraud prevention solutions, IDnow establishes, maintains and enriches trust throughout the customer journey, ensuring businesses can confidently and securely operate while leveraging digital identity to drive growth, security and scalability. The company has offices in Germany, United Kingdom, Romania and France, and is backed by renowned institutional investors, including Corsair Capital and Seventure Partners. Its portfolio of international clients spans a wide range of end markets including financial services, telecommunications, travel & mobility, gaming, and other industries. This role is based in Berlin/Munich, Germany or Rennes, France.     IDnow is seeking a highly skilled IT Integration Engineer with strong software development capabilities and emerging expertise in AI-driven integration. In this role, you will architect, implement, and optimise integrations across cloud platforms, data systems, and application environments. You will also design and operationalise AI workflows—leveraging automation, machine learning services, and intelligent data pipelines—to enhance business processes and system interoperability. You will work closely with cross‑functional teams to implement automation, build reliable integration processes, integrate data services, and deliver robust infrastructure-as-code solutions.  This position blends integration engineering, DevOps practices, AI tooling, and practical software development, offering the opportunity to shape our next-generation automation and intelligent integration capabilities.    Key Responsibilities  * Design and maintain scalable integrations across enterprise systems, SaaS platforms, and internal applications.  * Build and enhance GitLab based CI/CD pipelines to support application integration and infrastructure automation. ‑based CI/CD pipelines to support application  * Use Terraform (or other Infrastructure as Code tools) to design and provision cloud infrastructure—primarily on AWS.  * Develop automation scripts and workflows to reduce manual operational overhead and improve reliability.   * Integrate machine learning and approved AI‑based services into operational workflows and data pipelines. * Implement data integration pipelines using APIs, event-driven architectures, and messaging systems.   * Develop and maintain AI‑driven middleware using Node.js and/or Python to enhance decisioning, routing, or workflow logic. * Manage, deploy, and troubleshoot MCP (Node.js‑based) servers used for programmatic control, middleware, or message processing.  * Collaborate with software engineers, data teams, and cloud engineers to deliver end‑to‑end integration solutions.  * Ensure integrations are secure, well‑documented, and compliant with organisational standards.  * Write clean, modular, well‑tested code following engineering best practices. * Participate in code reviews, architectural discussions, and continuous improvement efforts. * Monitor, tune, and optimise system performance and reliability across integration layers.     PREFERRED EXPERIENCE  * 3-5 years in an IT Integration, DevOps, or Software Engineering role.  * Strong hands-on experience with GitLab, including pipeline creation, runners, artifacts, and CI/CD orchestration.  * Proficiency with Infrastructure as Code, particularly Terraform, and experience deploying resources in AWS.  * Solid experience in automation using scripting languages such as Python, Bash, or JavaScript/Node.js.  * Experience building and maintaining data integrations (APIs, webhooks, ETL, messaging queues, or event-driven systems).  * Working knowledge of MCP (Node.js) servers, including configuration, extension development, and deployment.  * Solid understanding of AI/ML concepts, model APIs, prompt engineering, and integrating LLMs into backend services. * Strong backend development experience (Node.js, Python, or similar). * Knowledge of networking, identity/access management, and security best practices. * Familiarity with containerisation (Docker) and orchestration (Kubernetes) is a plus.   * Excellent communication, documentation, and cross‑team collaboration skills.   Perks & Benefits  * Health & Wellbeing: Use your full access to the mental health platform nilo, including 1on1 sessions. * We value personal and professional development: make full use of Udemy, our training platform with 24/7 access and unlimited content/course consumption incl. certification. * We make your remote work comfy: we provide support on equipment and offer flexible working hours. * We value collaboration & love to come together: regular onsite gatherings, internal initiatives and summer parties to connect outside of work. * May your family require your attention or other reasons apply: use the benefit of our paid special leave days. * Enjoy the possibility to combine work with a longer stay at your holiday destination or extend a weekend with our Workcation possibilities. * In addition to the perks & benefits above, we offer specific benefits that differ between our locations    IDnow applies the principles of non-discrimination and equality: We strive to establish, maintain, and promote an open and inclusive recruitment process and working environment by respecting the principles of equal opportunities. Including but not limited to: sex, race or ethnic origin, religion or convictions, gender identity, citizenship, marital status, disability, age, or sexual orientation.