Training Infrastructure Engineer

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 We spend tens of millions per year on GPU compute to train tabular foundation models. That's not a target, it's what we're running today, and it's growing. The person who owns this infrastructure makes decisions worth millions of dollars: cluster architecture, scheduling efficiency, provider strategy, hardware selection. A wrong call costs six figures. Today we run Slurm on GCP across multiple clusters. We're scaling to multi-cluster, multi-provider infrastructure and evaluating new hardware generations as they come online. You own the full stack, from cluster operations and cost optimization to distributed training performance and the tooling layer that keeps researchers moving fast. You work directly with the research team and understand what they're doing well enough to make infrastructure decisions that actually help them. And this isn't a pure support role. We operate an open environment. If you've got the next SOTA tabular architecture up your sleeve, go ahead and train it. What you'll work on: * Own and evolve multi-cluster GPU infrastructure. Slurm on GCP today, multi-provider and new hardware tomorrow. Architecture, scheduling, reliability, cost optimization * Drive GPU utilization and training throughput: profiling, memory optimization, communication bottlenecks, systems-level debugging of distributed training across large runs * Architect the next generation of our infrastructure: multi-cluster orchestration, new GPU generations, provider diversification, capacity planning against growing compute demands * Build the developer productivity layer: CI pipelines, experiment tracking, model registry, data processing, and internal tooling that keeps research iteration speed high * Own the compute budget. You understand cost per FLOP across providers and hardware, and you hate wasted compute Tech stack: Slurm, GCP, Docker, wandb, GitHub Actions, uv, PyTorch, Triton You may be a good fit if you have: * 5+ years building and operating production GPU infrastructure or distributed training systems at scale. At a major AI lab, a well-funded ML startup, or an HPC environment * Deep hands-on experience with Slurm and cluster management. You've debugged scheduling failures, optimized utilization across multi-tenant GPU workloads, and operated infrastructure where downtime has real cost * Expert-level systems thinking: memory bandwidth, GPU profiling. You reason about hardware, not configs * Strong Python and genuine fluency with PyTorch internals. Enough to profile a training run and tell whether the bottleneck is data loading, communication, or compute * Track record of making infrastructure decisions that measurably improved training throughput or cost efficiency * Strong AI tooling skills. You use Claude Code, Cursor, or similar fluently to move fast without sacrificing quality Bonus: * Experience operating at tens-of-millions-scale GPU spend * Multi-cloud or hybrid HPC/cloud infrastructure experience * Triton, CUDA, or custom kernel experience * Experience scaling from single cluster to multi-cluster orchestration * Background building experiment tracking, model registry, or ML pipeline tooling 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.

Raisin

Raisin is the world’s leading platform for savings and investment products. Founded in 2012, the FinTech connects consumers with banks in the EU, the UK and the US. This gives consumers better interest rates and banks a diversified form of refinancing. Our vision is to offer savings and investments without barriers and thus open up the global 160 trillion euro market. Raisin currently employs more than 800 people from over 75 countries worldwide. Today, the platform holds over 80 billion euros in assets from more than one million investors which have accrued over 5 billion euros in returns. Team For this challenging and highly impactful role, we are seeking a dedicated, highly communicative IT Security Manager with vision and drive. In this position, you will lead and develop Raisin's internal security teams. You will act as a critical internal sparring partner (for Business, IT, and the 2nd Line of Defense) and take the absolute lead in coordinating our technical security implementation. As a versatile leader with a comprehensive overview of our security posture, you will ensure that our internal operations are resilient, compliant with regulations like DORA, and seamlessly executed by your teams. Your Responsibilities * Team Leadership & Internal Execution: Take ownership of our internal security operations. You will lead, mentor, and steer our internal security experts in a results-oriented manner, ensuring the continuity and excellence of daily security operations. * Internal Coordination & Sparring: Act as the central, consultative liaison across the company. You will lead cross-departmental coordination of security topics, define clear security requirements for our Infrastructure and engineering teams, and develop pragmatic, scalable solutions. * 1st Line Security Operations: Oversee the technical execution performed by your teams. Your duties will include actively participating in incident analysis, threat mitigation, and ensuring robust monitoring is in place. * 2nd Line Liaison & DORA Alignment: Serve as the central point of contact for the "2nd Line of Defense" (CISO). Ensure that our operational reality and technical controls align with overarching IT Governance, risk frameworks, and regulatory requirements like the Digital Operational Resilience Act (DORA). * Project Management: Drive and contribute to broader projects. If you enjoy organizing and structuring security-related agendas across the IT landscape, there is plenty of impactful work to be done! * Cloud Security Oversight: Leverage your deep understanding of AWS Cloud Infrastructure and the AWS Shared Responsibility Model to guide your teams in maintaining a secure, robust, and compliant cloud environment. * Strategic Vendor Management: Pragmatically manage relationships with third-party security vendors (e.g., security tooling, external testing, specialized services). You will steer these partnerships to ensure strict SLA adherence, cost-effectiveness, and a strong Return on Investment (ROI) for our security stack. Your Profile * Extensive Professional Experience: 10+ years of overall experience within the Cybersecurity or Information Security space, combined with at least 3+ years of proven experience working directly as an IT Security Manager or in a similar leadership capacity. * Broad Cybersecurity Background: The world of security is vast, and your holistic expertise counts. You have broad experience across domains such as IT Governance/GRC, ISMS, ISO 27001, BCM, NIS 2, DORA, Vulnerability Management, SOC/SIEM, IAM/PAM, Penetration Testing, Network Security, or DevSecOps. * Generalist Leadership Mindset: A comprehensive overview and a fundamental understanding of security technologies, industry standards, and their potential business impact are highly valued. You know how to guide specialists without getting lost in the weeds of individual security tools. * Team Management Experience: Proven track record in leading, structuring, and motivating internal technical teams in a fast-paced, mission-critical IT environment. * Technical Acumen: Really good understanding and practical working knowledge of AWS Cloud Infrastructure, including a firm grasp of the cloud Shared Responsibility Model and how to implement it effectively. * Framework Knowledge: Basic knowledge of IT Service Management (ITSM, ITIL) and a solid technical understanding of the security domain are prerequisites. * Work Style & Traits: You possess a strong sense of responsibility, flexibility, and an eagerness to engage with new topics. You are distinguished by a commitment to collaborative teamwork, a respectful and supportive interpersonal style, and a work approach that is solution-oriented, analytical, structured, and reliable. * Language & Communication: Excellent proficiency in spoken and written English alongside fluent German is a plus. Join our mission, join our team – and grow with us! At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities. As part of out team, you will benefit from: * Employee Development Budget of €2,000 and four full training days per year. * Flexible working hours, home office and 30 vacation days. * A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%. * Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than €20 per month.  * Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with €25 per month. * Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs. * Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office. * You are moving from another country or city to join us? We may support your relocation. Raisin Applicant Privacy Policy We value diversity and the unique experiences each individual brings. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply. We are an equal opportunity employer and are committed to creating an inclusive environment for everyone, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

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 Tabular data breaks the assumptions that make scaling work for language and vision. There's no natural sequence, no spatial structure, no shared vocabulary across datasets. The architectures and scaling laws that power LLMs don't transfer. We've made the first breakthrough with TabPFN — but the hardest problems are still ahead. At Prior Labs, Research Engineers aren't supporting scientists — they are the science team. You'll design experiments, contribute to papers, and write the code that turns architectural ideas into trained models. We create cutting edge research because the same people do both. As an early team member, you'll have significant technical ownership and room to grow as we scale. The problems we're solving: * Scaling transformer architectures from 10K to 1M+ samples — without the structural assumptions that make language models scale * Building multimodal models that combine tabular, text, and numerical understanding * Making models efficient enough for real-world deployment — not just accurate enough for a paper * Designing architectures for time series, forecasting, anomaly detection, and multiple related tables Day-to-day, you'll design and test novel architectures, run ablations, analyze scaling behavior, and write the training and evaluation infrastructure that makes rapid experimentation possible. We hold software quality to the same standard as research quality. What We're Looking For * Master's or PhD in Computer Science or a related field, plus 3+ years of experience building ML systems in research or industry * Publications at top ML venues (NeurIPS, ICML, ICLR, etc.) or equivalent demonstrated research impact (widely used open-source, deployed systems) * Deep proficiency in Python, PyTorch, and the broader ML and data science ecosystem (scikit-learn, pandas, NumPy), with strong software engineering practices * Experience implementing and training neural network architectures — ideally transformers or foundation models * Solid understanding of training dynamics, scaling behavior, and common failure modes in deep learning systems * Genuine interest in model efficiency — making large models faster, more scalable, and practical to deploy Nice to Have * Experience at an early-stage startup or as a founding engineer * Contributions to open-source ML libraries or tools * Experience with model distillation, inference optimization, or on-device ML * Background in tabular data, time series, or other structured data — helpful but not required 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.