ML Research Intern

Vor 2 Tagen

Zürich, Zürich, Schweiz Lyceum Vollzeit

ML Research Intern (PhD) – Runtime Prediction & Automated Hardware Selection

About Lyceum

Lyceum is building a user-centric GPU cloud from the ground up. Our mission is to make high-performance computing seamless, accessible, and tailored to the needs of modern AI and ML workloads. We're not just deploying infrastructure, we're designing and building our own large-scale GPU clusters from scratch. If you've ever wanted to help shape a cloud platform from day one, this is your moment.

The Role:

You'll join our R&D team as a PhD-level research intern working on runtime prediction, automated hardware selection, and workload efficiency.

You will help design and run experiments, develop models that predict resource requirements and training runtimes, and contribute to integrating them into our scheduling layer to automate hardware selection and cost prediction for customers. The role is a strong fit if you are currently pursuing a PhD in ML/AI and are looking for an applied research internship.

What we are working on

  • Runtime prediction models & scheduling heuristics
  • Automated GPU selection based on model, dataset, and constraints
  • Benchmarking across LLMs, vision & multimodal models
  • Throughput, latency & stability optimisation at scale
  • Workload profiling (VRAM/compute/memory)
  • Reference pipelines, reproducible evaluation suites
  • Practical docs, baselines, and performance guidance

What We're Looking For

  • Currently enrolled in a PhD in ML/AI/CS (or closely related field)
  • Strong fundamentals in deep learning, optimisation, and model evaluation
  • Experience from research projects, a lab, or prior industry collaborations (Research Engineer/Scientist/Intern)
  • Interest and ideally first experience in model efficiency or GPU performance (quantization, pruning, large-scale training, profiling, systems for ML)
  • Ownership mindset and rigor in experimentation (clear hypotheses, robust evaluation, ablations)
  • Clear writing; reproducible results (code, reports, or papers)
  • Based in CH or open to relocating to Switzerland for the internship
  • Tech stack: Python, PyTorch/JAX (and/or TensorFlow). CUDA/GPU literacy is a plus.

Bonus Points

  • Work on large-scale or distributed training systems
  • Experience with evaluation design, dataset curation, or benchmarking frameworks
  • Publications, preprints, or high-quality open-source projects relevant to ML systems, runtime prediction, or scheduling

Why Join Us

Build from zero: This is a rare opportunity to join a startup at the earliest stages and help shape core building blocks of our platform. Your work can directly inform our production scheduling system and future research directions.

Hard, meaningful problems: We're tackling some of the most interesting challenges at the intersection of ML, systems, and hardware – runtime prediction, automated hardware selection, and performance optimisation on cutting-edge GPUs.

World-class hardware: You'll work directly with state-of-the-art GPU hardware and help build one of the most performant compute platforms in Europe.

Everything else: Competitive internship compensation, close mentorship, potential for ongoing collaboration (e.g. future projects/publications), and a team that cares about helping you do your best research.

Lyceum is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

  • ML Research Intern – Runtime Prediction

    Vor 6 Tagen

    Zürich, Zürich, Schweiz Lyceum Vollzeit CHF 50'000 - CHF 100'000 pro Jahr

    ML Research Intern – Runtime PredictionAbout LyceumLyceum is building a user-centric GPU cloud from the ground up. Our mission is to make high-performance computing seamless, accessible, and tailored to the needs of modern AI and ML workloads. We're not just deploying infrastructure, we're designing and building our own large-scale GPU clusters from...

  • ML Research Engineer

    Vor 4 Tagen

    Zürich, Zürich, Schweiz Lyceum Vollzeit

    ML Research Engineer - Runtime PredictionAbout LyceumLyceum is building a user-centric GPU cloud from the ground up. Our mission is to make high-performance computing seamless, accessible, and tailored to the needs of modern AI and ML workloads. We're not just deploying infrastructure, we're designing and building our own large-scale GPU clusters from...

  • AI Research Intern

    Vor 2 Tagen

    Zürich, Zürich, Schweiz Mimic Robotics Vollzeit

    The Role As an AI Research Intern, you'll work directly with our AI and robotics teams to drive frontier AI model development for dexterous robotic manipulation. You will take ownership of a project at the frontier of end-to-end AI models for robotics, from large-scale multi-task pre-training and world models to specialised fine-tuning and RL...

  • Research Intern

    Vor 6 Tagen

    Zürich, Zürich, Schweiz Apple Vollzeit CHF 42'000 - CHF 105'000 pro Jahr

    At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion for problem-solving and dedication to your job, and there's no telling what you could accomplish. We advance the state of the art to improve the lives of our customers worldwide. The European Vision Group (EVG) is dedicated to...

  • Research Internship

    vor 1 Woche

    Zürich, Zürich, Schweiz Lakera Vollzeit CHF 90'000 - CHF 120'000 pro Jahr

    You want to build at the cutting edge of AI, pushing the limits of scalable AI security. At Lakera, we are not just another research lab: we are engineering the next generation of security foundation models with immediate impact at scale. As aResearch Intern, you will have ownership in shaping our key initiatives and working closely with the team in solving...

  • Research Internship

    vor 1 Woche

    Zürich, Zürich, Schweiz Lakera Vollzeit CHF 104'000 - CHF 160'000 pro Jahr

    You want to build at the cutting edge of AI, pushing the limits of scalable AI security. At Lakera, we are not just another research lab: we are engineering the next generation of security foundation models with immediate impact at scale. As a Research Intern, you will have ownership in shaping our key initiatives and working closely with the team in solving...

  • AI/ML Engineer

    vor 1 Woche

    Zürich, Zürich, Schweiz Entirely Vollzeit CHF 120'000 - CHF 180'000 pro Jahr

    AI/ML Engineer (Founding Team)Entirely is creating the first AI-native operating system for marketing — a platform that allows enterprise teams to orchestrate campaigns, channels and content with unprecedented automation, personalization and control. Headquartered in Switzerland, we work with portfolio companies, strategic technology partners and leading...

  • Senior ML Engineer

    Vor 2 Tagen

    Zürich, Zürich, Schweiz consulteer Vollzeit

    Where Humans Meet MachinesYour Role & ResponsibilitiesDesign and develop state-of-the-art machine learning methods for whole-body control of next-generation humanoid robotic systemsBuild scalable training pipelines for reinforcement learning and imitation learning at industrial scaleCollaborate closely with robotics control engineers, perception teams, and...

  • Research Scientist Intern, Multimedia Vertical Efficiency

    Vor 2 Tagen

    Zürich, Zürich, Schweiz Meta Vollzeit

    Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing...

  • Machine Learning Intern

    vor 2 Wochen

    Zürich, Zürich, Schweiz Apple Vollzeit

    Application Deadline - Sunday 16th November Are you interested in developing products that use machine learning and computer vision in novel and interactive ways? Want to harness your skills to build groundbreaking features like Image Generation, Smart Script, or Scribble? Envision yourself building high-impact products powered by generative models, reaching...