AI Research Jobs in Zürich
75 active AI research roles in Zürich, with salaries ranging from CHF 50,000 to CHF 270,000 per year. The largest hirers are Huawei (13 open), IBM Research (12 open), Apple (9 open), Meta (6 open).
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Forschung
Level
Typ
Zürich
Arbeitgeber
KI-Wort
75 Stellen, sortiert nachNeueste
Flexion RoboticsForschung·SeniorheuteheuteVLA/WAM Research Engineer
gesch.CHF 110’000 – 130’000
Zürich
Deep Learning·Reinforcement Learning·REPRESENTATION LEARNING+9·+8·+7·+6
MetaForschung·Junior·Praktikumvor 1 Tagvor 1 T.Research Scientist Intern, Human Sensing for Wearables, AR and VR (PhD)
gesch.CHF 80’000 – 100’000
Zürich
Machine Learning·Deep Learning·NLP+7·+6·+5·+4
AppleForschung·Junior·Praktikumvor 1 Tagvor 1 T.AI Research Intern - Foundation Models & Multimodal Intelligence
gesch.CHF 80’000 – 100’000
Zürich
Machine Learning·Deep Learning·Reinforcement Learning+12·+11·+10·+9
Enact IntelligenceForschung·Midvor 5 Tagenvor 5 T.Research Scientist: Pre-Training
gesch.CHF 90’000 – 110’000
Zürich
Machine Learning·Computer Vision·Generative AI+7·+6·+5·+4Enact IntelligenceForschung·Midvor 5 Tagenvor 5 T.Research Scientist: Post-Training
gesch.CHF 80’000 – 100’000
Zürich
Machine Learning·Computer Vision·Generative AI+8·+7·+6·+5MetaForschung·Junior·Praktikumvor 5 Tagenvor 5 T.Research Scientist Intern, Muse RL and Agents Team (PhD)
gesch.CHF 80’000 – 100’000
Zürich
Machine Learning·Deep Learning·Reinforcement Learning+7·+6·+5·+4
ExaForschung·Midvor 5 Tagenvor 5 T.Research Engineer, Content Understanding
gesch.CHF 130’000 – 150’000
Zürich
PyTorch·AI-Native+2·+1
LightlyForschung·Senior·Teilzeitvor 8 Tagenvor 8 T.AI Research Scientist – Scientific Evaluation (ML/AI)
gesch.CHF 90’000 – 110’000
Zürich
Machine Learning·Computer Vision·AI-Native+3·+2·+1MetaForschung·Junior·Praktikumvor 8 Tagenvor 8 T.Research Scientist Intern, Generative AI (PhD)
gesch.CHF 80’000 – 100’000
Zürich
Machine Learning·Deep Learning·Neural Networks+6·+5·+4·+3
ArtificialyForschung·Midvor 9 Tagenvor 9 T.AI Scientist - LLM Systems
gesch.CHF 125’000 – 145’000
Zürich
Generative AI·Fine-tuning·LLM+9·+8·+7·+6
SereactForschung·Seniorvor 12 Tagenvor 12 T.Chief Science Officer
gesch.CHF 250’000 – 270’000
Zürich
Machine Learning·Reinforcement Learning·ROBOT LEARNING+5·+4·+3·+2MetaForschung·Junior·Praktikumvor 13 Tagenvor 13 T.Research Scientist Intern, Robotics Foundation Models (PhD)
gesch.CHF 80’000 – 100’000
Zürich
Machine Learning·Reinforcement Learning·ROBOT LEARNING+9·+8·+7·+6MetaForschung·Junior·Praktikumvor 13 Tagenvor 13 T.Research Scientist Intern, Robotics - Meta Reality Labs Research (PhD)
gesch.CHF 80’000 – 100’000
Zürich
Machine Learning·Neural Networks·Reinforcement Learning+8·+7·+6·+5
IBM ResearchForschung·Junior·Praktikumvor 14 Tagenvor 14 T.Internship: Parameter optimization for message-passing qLDPC decoders
gesch.CHF 35’000 – 55’000
Zürich
Machine Learning·AI-Native+2·+1MetaForschung·Junior·Praktikumvor 14 Tagenvor 14 T.Research Scientist Intern, Robotics Foundation Models Post-Training (PhD)
gesch.CHF 80’000 – 100’000
Zürich
Machine Learning·Deep Learning·Reinforcement Learning+6·+5·+4·+3
Google DeepMindForschung·Midvor 14 Tagenvor 14 T.Research Scientist, User Signals from Agentic Logs, DeepMind
gesch.CHF 130’000 – 150’000
Zürich
Machine Learning·Deep Learning·Reinforcement Learning+9·+8·+7·+6SereactForschung·Midvor 18 Tagenvor 18 T.Member of Technical Staff
gesch.CHF 80’000 – 100’000
Zürich
Machine Learning·Deep Learning·Computer Vision+9·+8·+7·+6SereactForschung·Seniorvor 18 Tagenvor 18 T.Senior Research Scientist
gesch.CHF 100’000 – 120’000
Zürich
Machine Learning·Deep Learning·Computer Vision+9·+8·+7·+6Senior/Principal Researcher: Verified Agentic Hardware Optimization
gesch.CHF 150’000 – 170’000
Zürich
Machine Learning·LLM·Agentic AI+3·+2·+1Researcher/Senior Researcher: Infinite Context LLMs
gesch.CHF 150’000 – 170’000
Zürich
Machine Learning·NLP·LLM+8·+7·+6·+5
Citadel SecuritiesForschung·Juniorvor 21 Tagenvor 21 T.Machine Learning Researcher – PhD Graduate
gesch.CHF 120’000 – 140’000
Zürich
Machine Learning·Deep Learning·NLP+3·+2·+1
NvidiaForschung·Junior·Praktikumvor 25 Tagenvor 25 T.PhD Research Intern, Robotics
gesch.CHF 80’000 – 100’000
Zürich
Machine Learning·Deep Learning·Reinforcement Learning+11·+10·+9·+8
GoogleForschung·Seniorvor 25 Tagenvor 25 T.Staff Research Engineer, Generative AI, Cloud AI Research, Co-Scientist
gesch.CHF 145’000 – 165’000
Zürich
Deep Learning·Computer Vision·Generative AI+8·+7·+6·+5GoogleForschung·Junior·Praktikumvor 28 Tagenvor 28 T.Student Researcher
gesch.CHF 40’000 – 60’000
Zürich
Machine Learning·Deep Learning·Computer Vision+3·+2·+1Senior Fellow - Scientific AI (Clinical Biostatistician)
gesch.CHF 160’000 – 180’000
Genf · Zürich
Machine Learning·Deep Learning·Reinforcement Learning+6·+5·+4·+3AppleForschung·Midvor 31 Tagenvor 31 T.AIML - Machine Learning Researcher, Multimodal Foundation Models
gesch.CHF 150’000 – 170’000
Zürich
Machine Learning·Deep Learning·NLP+6·+5·+4·+3Research Intern – Hardware Optimization for AI Accelerators
gesch.CHF 25’000 – 45’000
Zürich
DIFFUSION MODEL·LLM·Agentic AI+3·+2·+1Research Intern: Agentic System-Level Hardware Design
gesch.CHF 35’000 – 55’000
Zürich
LLM·Agentic AI+2·+1AppleForschung·Seniorvor 31 Tagenvor 31 T.AIML - Foundation Model Post-Training Research Scientist
gesch.CHF 150’000 – 170’000
Zürich
Machine Learning·Deep Learning·Reinforcement Learning+11·+10·+9·+8Google DeepMindForschung·Midvor 34 Tagenvor 34 T.Research Scientist, Gemini Vision, DeepMind
gesch.CHF 150’000 – 170’000
Zürich
Machine Learning·NLP·DATA MINING+9·+8·+7·+6NvidiaForschung·Junior·Praktikumvor 34 Tagenvor 34 T.PhD Research Intern, Autonomous Systems and Physical AI Research
gesch.CHF 25’000 – 45’000
Zürich
Machine Learning·Deep Learning·Reinforcement Learning+7·+6·+5·+4IBM ResearchForschung·Junior·Praktikumvor 40 Tagenvor 40 T.Research Internship in AI and Quantum Algorithms for PDEs
gesch.CHF 25’000 – 45’000
Zürich
Machine Learning·Foundation Models·PyTorch+4·+3·+2·+1Research Intern on Hardware Acceleration for Agentic-Era Server Workloads
gesch.CHF 25’000 – 45’000
Zürich
Neural Networks·Agentic AI·Vector Databases+3·+2·+1AppleForschung·Junior·Praktikumvor 40 Tagenvor 40 T.Internship - Machine Learning (Foundation Models)
gesch.CHF 50’000 – 70’000
Zürich
Machine Learning·Deep Learning·Reinforcement Learning+9·+8·+7·+6Researcher - Agentic Algorithms and Architectures
gesch.CHF 115’000 – 135’000
Zürich
Agentic AI+1Research Intern: Next-generation Computer Architecture for Racks and SuperPods
gesch.CHF 25’000 – 45’000
Zürich
Computer Vision·Generative AI·Agentic AI+3·+2·+1Research Scientist – Efficient and Controllable Generative Models
gesch.CHF 130’000 – 150’000
Zürich
Machine Learning·Deep Learning·Computer Vision+5·+4·+3·+2
AnthropicForschung·Midvor 55 Tagenvor 55 T.Research Engineer, Cybersecurity RL (Reinforcement Learning)
gesch.CHF 150’000 – 170’000
Zürich
Machine Learning·Reinforcement Learning·LLM+5·+4·+3·+2IBM ResearchForschung·Junior·Praktikumvor 58 Tagenvor 58 T.Internship — Quantum Algorithms and Applications for Linear Algebra & Hamiltonian Simulation
gesch.CHF 25’000 – 45’000
Zürich
Machine Learning·AI-Native+2·+1
RAI Robotics and AI InstituteForschung·Junior·Praktikumvor 61 Tagenvor 61 T.Autonomous Agent Engineering Intern
gesch.CHF 25’000 – 45’000
Zürich
Reinforcement Learning·ROBOT LEARNING·LLM+6·+5·+4·+3RAI Robotics and AI InstituteForschung·Junior·Praktikumvor 64 Tagenvor 64 T.Sensor Calibration & Integration Intern
gesch.CHF 25’000 – 45’000
Zürich
Machine Learning·Computer Vision·AI-Native+3·+2·+1RAI Robotics and AI InstituteForschung·Junior·Praktikumvor 68 Tagenvor 68 T.Internship - Software Engineering
gesch.CHF 35’000 – 55’000
Zürich
Machine Learning·Neural Networks·Reinforcement Learning+4·+3·+2·+1
OpenAIForschung·Seniorvor 74 Tagenvor 74 T.RE/RS, Data Understanding - Foundations
gesch.CHF 150’000 – 170’000
Zürich
Deep Learning·TRAINING DATA·AI-Native+3·+2·+1GoogleForschung·Junior·Praktikumvor 77 Tagenvor 77 T.Research Scientist PhD Intern
gesch.CHF 95’000 – 115’000
Zürich
Machine Learning·Deep Learning·Reinforcement Learning+7·+6·+5·+4
ZalandoForschung·Seniorvor 80 Tagenvor 80 T.Senior Principal Applied Scientist - Ranking and Recommendations
gesch.CHF 160’000 – 180’000
Zürich
Machine Learning·Deep Learning·PyTorch+4·+3·+2·+1Senior Researcher AI Compiler Architecture
gesch.CHF 150’000 – 170’000
Zürich
Deep Learning·Computer Vision+2·+1IBM ResearchForschung·Junior·Praktikumvor 92 Tagenvor 92 T.Master's Thesis — Next-Generation Query and Workflow Processing across Heterogeneous Engines and Hardware
gesch.CHF 25’000 – 45’000
Zürich
Machine Learning·Vector Databases·AI-Native+3·+2·+1Research Scientist - Scientific Simulation on AI Infrastructure
gesch.CHF 130’000 – 150’000
Zürich
LLM·Agentic AI·PyTorch+3·+2·+1AI Scientist
gesch.CHF 150’000 – 170’000
Zürich
LLM·Fine-tuning·MLOps+5·+4·+3·+2RAI Robotics and AI InstituteForschung·Junior·Praktikumvor 95 Tagenvor 95 T.Internship
gesch.CHF 25’000 – 45’000
Zürich
Machine Learning·AI-Native+2·+1
OdysseyForschung·Seniorvor 101 Tagenvor 101 T.Member of Technical Staff, Research
gesch.CHF 160’000 – 180’000
Zürich
Computer Vision·Generative AI·AI-Native+3·+2·+1OdysseyForschung·Juniorvor 101 Tagenvor 101 T.AI Resident
gesch.CHF 100’000 – 120’000
Zürich
Machine Learning·GPT·AI-Native+3·+2·+1AppleForschung·Seniorvor 107 Tagenvor 107 T.Research Scientist/ Engineer - Special Projects
gesch.CHF 130’000 – 150’000
Zürich
Machine Learning·Deep Learning·Computer Vision+4·+3·+2·+1AppleForschung·Seniorvor 111 Tagenvor 111 T.Research Scientist - LLM Efficiency
gesch.CHF 130’000 – 150’000
Zürich
Machine Learning·Deep Learning·DIFFUSION MODEL+5·+4·+3·+2Research Intern: Next-generation NPU and Agentic CPU Micro-architecture
gesch.CHF 25’000 – 45’000
Zürich
Computer Vision·Agentic AI+2·+1Senior/Principal Researcher: Next-generation NPU and Agentic CPU Micro-architecture
gesch.CHF 150’000 – 170’000
Zürich
Computer Vision·Agentic AI+2·+1IBM ResearchForschung·Junior·Praktikumvor 117 Tagenvor 117 T.Master's Thesis — AI Models and Inference Systems
gesch.CHF 0 – 20’000
Zürich
Machine Learning·Foundation Models·LLM+7·+6·+5·+4IBM ResearchForschung·Junior·Praktikumvor 123 Tagenvor 123 T.Master's Thesis — Agentic AI for Electronic Design Automation
gesch.CHF 0 – 20’000
Zürich
Agentic AI·MCP·AI-Native+3·+2·+1Huawei Research Centre – Competition Talent Program
gesch.CHF 25’000 – 45’000
Zürich
Machine Learning·Computer Vision·Generative AI+3·+2·+1IBM ResearchForschung·Juniorvor 132 Tagenvor 132 T.PhD Position — Time and Memory Efficient Proof Systems
gesch.CHF 50’000 – 70’000
Zürich
Machine Learning·AI-Native+2·+1IBM ResearchForschung·Junior·Praktikumvor 132 Tagenvor 132 T.Master's Thesis — Neural Solvers for Mixed-Integer Nonlinear Programming
gesch.CHF 25’000 – 45’000
Zürich
Machine Learning·Deep Learning·Neural Networks+6·+5·+4·+3IBM ResearchForschung·Junior·Praktikumvor 141 Tagenvor 141 T.Master's Thesis — Hybrid Quantum-Neural Solvers for Mixed-Integer Nonlinear Programming
gesch.CHF 25’000 – 45’000
Zürich
Machine Learning·Deep Learning·AI-Native+3·+2·+1
MindfireForschung·Mid·Teilzeitvor 148 Tagenvor 148 T.AI Lab Assistant to the CEO & Team (30 - 60%)
gesch.CHF 75’000 – 95’000
Davos · Zürich
Generative AI·AI-Native+2·+1MindfireForschung·Junior·Teilzeitvor 148 Tagenvor 148 T.Spontaneous Application - Team Member
gesch.CHF 60’000 – 80’000
Zürich
AI-Native+1MindfireForschung·Mid·Teilzeitvor 148 Tagenvor 148 T.AI Engineer and Technical Support (40-80%)
gesch.CHF 80’000 – 100’000
Davos · Zürich
Machine Learning·AI-Engineer·AI-Native+3·+2·+1
Tufa LabsForschung·Seniorvor 162 Tagenvor 162 T.Research Engineer
gesch.CHF 100’000 – 120’000
Zürich
Deep Learning·Reinforcement Learning·LLM+4·+3·+2·+1AppleForschung·Seniorvor 163 Tagenvor 163 T.AIML - Research Scientist, Health
gesch.CHF 150’000 – 170’000
Zürich
Machine Learning·Deep Learning·Foundation Models+4·+3·+2·+1IBM ResearchForschung·Seniorvor 171 Tagenvor 171 T.Research Engineers / Research Scientists — Next-Generation Data Systems
gesch.CHF 110’000 – 130’000
Zürich
Machine Learning·AI-Native+2·+1AppleForschung·Seniorvor 181 Tagenvor 181 T.AI Research Scientist - Multimodal Intelligence
gesch.CHF 150’000 – 170’000
Zürich
Machine Learning·Deep Learning·Reinforcement Learning+9·+8·+7·+6AppleForschung·Seniorvor 192 Tagenvor 192 T.AIML - Apple Foundation Models: Senior ML Research Scientist, RL & Agentic Reasoning
gesch.CHF 150’000 – 170’000
Zürich
Machine Learning·Deep Learning·Reinforcement Learning+11·+10·+9·+8Flexion RoboticsForschung·Seniorvor 192 Tagenvor 192 T.AI Research Engineer - Dexterous Manipulation (Egocentric Models)
gesch.CHF 110’000 – 130’000
Zürich
Machine Learning·Neural Networks·Reinforcement Learning+9·+8·+7·+6IBM ResearchForschung·Junior·Praktikumvor 192 Tagenvor 192 T.Internship or Master's Thesis — Agent-Centric Data Systems
gesch.CHF 40’000 – 60’000
Zürich
LLM·AI-Native+2·+1IBM ResearchForschung·Junior·Praktikumvor 199 Tagenvor 199 T.Internship — Docling
gesch.CHF 40’000 – 60’000
Zürich
Machine Learning·Deep Learning·NLP+8·+7·+6·+5
Mimic RoboticsForschung·Seniorvor 199 Tagenvor 199 T.AI Research Scientist (Robot Learning)
gesch.CHF 130’000 – 150’000
Zürich
Deep Learning·ROBOT LEARNING·Generative AI+9·+8·+7·+6
Disney ResearchForschung·Junior·Praktikumvor 201 Tagenvor 201 T.Research Internship
gesch.CHF 30’000 – 50’000
Zürich
Machine Learning·Deep Learning·Computer Vision+4·+3·+2·+1Erfasst heuteheute
VLA/WAM Research Engineer
gesch. von Gemini 2.5 FlashCHF 110’000 – 130’000/ Jahr
ZürichDeep LearningReinforcement LearningREPRESENTATION LEARNINGROBOT LEARNINGFoundation ModelsPOST-TRAININGPRE-TRAININGPyTorchAI-Native
At Flexion, we're building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world humanoid deployment. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich), and backed by leading international VC firms. In just months, we've gone from our first line of code to deploying real humanoid capabilities.
The Role
As our VLA/WAM Research Engineer, you'll develop the foundation models that power our humanoid robots, spanning model architecture, large-scale pre-training, adaptation, and post-training. You will work across the model lifecycle: designing VLA and World-Action Model architectures, training foundation models on large and diverse embodied datasets, developing methods for efficient adaptation to new tasks and embodiments, and using robot experience to continuously improve model capabilities. In particular, we are looking for researchers and engineers with deep experience in one or more of the following areas: VLA/VLM or multimodal model architecture, large-scale foundation-model pre-training, world models and predictive learning, robot learning, or post-training and continual learning. If you have strong depth in one of these areas and are excited to work across the broader problem of building general-purpose robot foundation models, you will be a strong fit for the role.
Key Responsibilities
- VLA/WAM Architecture: Design and develop multimodal foundation models combining vision, language, robot state, actions, and temporal context for general-purpose robotic control.
- Foundation Model Pretraining: Develop and execute large-scale pretraining across diverse robot embodiments, teleoperation, egocentric human data, and simulated experience.
- Training Recipes & Scaling: Improve data mixtures, training objectives, optimization strategies, and distributed training workflows to deliver increasingly capable foundation models on a regular cadence.
- World-Action Models: Develop predictive world and action models for representation learning, future-state prediction, planning, and robot policy improvement.
- Adaptation & Mid-training: Develop methods to efficiently adapt pretrained models to new tasks, environments, embodiments, and capabilities.
- Post-training & Reinforcement Learning: Improve models using real-world and simulated robot experience, including imitation learning, RL, reward/value-guided learning, and specialist-to-generalist distillation.
- Continual Learning: Develop methods to learn from autonomous rollouts, failures, interventions, and recoveries while retaining existing capabilities and avoiding catastrophic forgetting.
- Evaluation & Research: Design rigorous experiments, evaluate models in simulation and on real robots, and use results to guide architecture and training decisions.
Requirements
- Strong Python and PyTorch skills, with hands-on experience developing and training modern deep-learning models.
- Research or engineering experience in one or more of the following: VLA/VLM architectures, multimodal foundation models, world models, large-scale pretraining, robot learning, or RL/post-training.
- Experience owning substantial model development or training experiments, including architecture choices, training objectives, optimization, and evaluation.
- Solid understanding of modern deep-learning architectures, representation learning, and the relationship between data, training objectives, and model performance.
- Ability to design rigorous experiments, diagnose training failures, and use empirical results to guide research decisions.
- Familiarity with large-scale datasets, model training workflows, and the challenges of generalization across tasks, environments, or embodiments.
- Ability to critically evaluate recent research and translate promising ideas into working models and experiments.
- Comfortable working across model architecture, training, and adaptation while bringing particular expertise in at least one of these areas.
Additionally, the following are a plus but not required:
- Experience training VLA, VLM, diffusion, flow-matching, video/world models, or other multimodal generative architectures.
- Experience with distributed training, multi-node GPU systems, large-scale data mixtures, and foundation-model training optimization.
- Experience with reinforcement learning, offline RL, reward/value learning, specialist distillation, or continual learning.
- Experience with predictive world models, video generation, latent dynamics, or self-supervised representation learning.
- Experience with multi-embodiment robot learning, action representations, or adapting policies across different robot platforms.
- Experience working with teleoperation, egocentric video, simulation, autonomous rollouts, or other large-scale embodied datasets.
- Experience evaluating learned policies on real robots, particularly humanoids or dexterous manipulation systems.
Benefits
- Competitive compensation
- Enhanced pension plan
- Enhanced holiday & paid leave perks
- Relocation & permit sponsorship
- Central Zürich office with top-tier robotics testing facilities and infrastructure
- Joining Europe's leading robotics team & exposure to never-done-before research
- Energetic, collaborative culture with a bias for action and regular community events