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).
Tschertga tenor rolla u patrun
ChartaCV Match
Perscrutaziun
Nivel
Tip
Turitg
Patrun
Pled d'IA
75 annunzias activas zavradas tenorData
Flexion RoboticsPerscrutaziun·SeniorozozVLA/WAM Research Engineer
stim.CHF 110’000 – 130’000
Turitg
Deep Learning·Reinforcement Learning·REPRESENTATION LEARNING+9·+8·+7·+6
MetaPerscrutaziun·Junior·Praticumavant 1 diavant 1 dResearch Scientist Intern, Human Sensing for Wearables, AR and VR (PhD)
stim.CHF 80’000 – 100’000
Turitg
Machine Learning·Deep Learning·NLP+7·+6·+5·+4
ApplePerscrutaziun·Junior·Praticumavant 1 diavant 1 dAI Research Intern - Foundation Models & Multimodal Intelligence
stim.CHF 80’000 – 100’000
Turitg
Machine Learning·Deep Learning·Reinforcement Learning+12·+11·+10·+9
Enact IntelligencePerscrutaziun·Midavant 5 disavant 5 dResearch Scientist: Pre-Training
stim.CHF 90’000 – 110’000
Turitg
Machine Learning·Computer Vision·Generative AI+7·+6·+5·+4Enact IntelligencePerscrutaziun·Midavant 5 disavant 5 dResearch Scientist: Post-Training
stim.CHF 80’000 – 100’000
Turitg
Machine Learning·Computer Vision·Generative AI+8·+7·+6·+5MetaPerscrutaziun·Junior·Praticumavant 5 disavant 5 dResearch Scientist Intern, Muse RL and Agents Team (PhD)
stim.CHF 80’000 – 100’000
Turitg
Machine Learning·Deep Learning·Reinforcement Learning+7·+6·+5·+4
ExaPerscrutaziun·Midavant 5 disavant 5 dResearch Engineer, Content Understanding
stim.CHF 130’000 – 150’000
Turitg
PyTorch·AI-Native+2·+1
LightlyPerscrutaziun·Senior·Temp parzialavant 8 disavant 8 dAI Research Scientist – Scientific Evaluation (ML/AI)
stim.CHF 90’000 – 110’000
Turitg
Machine Learning·Computer Vision·AI-Native+3·+2·+1MetaPerscrutaziun·Junior·Praticumavant 8 disavant 8 dResearch Scientist Intern, Generative AI (PhD)
stim.CHF 80’000 – 100’000
Turitg
Machine Learning·Deep Learning·Neural Networks+6·+5·+4·+3
ArtificialyPerscrutaziun·Midavant 9 disavant 9 dAI Scientist - LLM Systems
stim.CHF 125’000 – 145’000
Turitg
Generative AI·Fine-tuning·LLM+9·+8·+7·+6
SereactPerscrutaziun·Senioravant 12 disavant 12 dChief Science Officer
stim.CHF 250’000 – 270’000
Turitg
Machine Learning·Reinforcement Learning·ROBOT LEARNING+5·+4·+3·+2MetaPerscrutaziun·Junior·Praticumavant 13 disavant 13 dResearch Scientist Intern, Robotics Foundation Models (PhD)
stim.CHF 80’000 – 100’000
Turitg
Machine Learning·Reinforcement Learning·ROBOT LEARNING+9·+8·+7·+6MetaPerscrutaziun·Junior·Praticumavant 13 disavant 13 dResearch Scientist Intern, Robotics - Meta Reality Labs Research (PhD)
stim.CHF 80’000 – 100’000
Turitg
Machine Learning·Neural Networks·Reinforcement Learning+8·+7·+6·+5
IBM ResearchPerscrutaziun·Junior·Praticumavant 14 disavant 14 dInternship: Parameter optimization for message-passing qLDPC decoders
stim.CHF 35’000 – 55’000
Turitg
Machine Learning·AI-Native+2·+1MetaPerscrutaziun·Junior·Praticumavant 14 disavant 14 dResearch Scientist Intern, Robotics Foundation Models Post-Training (PhD)
stim.CHF 80’000 – 100’000
Turitg
Machine Learning·Deep Learning·Reinforcement Learning+6·+5·+4·+3
Google DeepMindPerscrutaziun·Midavant 14 disavant 14 dResearch Scientist, User Signals from Agentic Logs, DeepMind
stim.CHF 130’000 – 150’000
Turitg
Machine Learning·Deep Learning·Reinforcement Learning+9·+8·+7·+6SereactPerscrutaziun·Midavant 18 disavant 18 dMember of Technical Staff
stim.CHF 80’000 – 100’000
Turitg
Machine Learning·Deep Learning·Computer Vision+9·+8·+7·+6SereactPerscrutaziun·Senioravant 18 disavant 18 dSenior Research Scientist
stim.CHF 100’000 – 120’000
Turitg
Machine Learning·Deep Learning·Computer Vision+9·+8·+7·+6Senior/Principal Researcher: Verified Agentic Hardware Optimization
stim.CHF 150’000 – 170’000
Turitg
Machine Learning·LLM·Agentic AI+3·+2·+1Researcher/Senior Researcher: Infinite Context LLMs
stim.CHF 150’000 – 170’000
Turitg
Machine Learning·NLP·LLM+8·+7·+6·+5
Citadel SecuritiesPerscrutaziun·Junioravant 21 disavant 21 dMachine Learning Researcher – PhD Graduate
stim.CHF 120’000 – 140’000
Turitg
Machine Learning·Deep Learning·NLP+3·+2·+1
NvidiaPerscrutaziun·Junior·Praticumavant 25 disavant 25 dPhD Research Intern, Robotics
stim.CHF 80’000 – 100’000
Turitg
Machine Learning·Deep Learning·Reinforcement Learning+11·+10·+9·+8
GooglePerscrutaziun·Senioravant 25 disavant 25 dStaff Research Engineer, Generative AI, Cloud AI Research, Co-Scientist
stim.CHF 145’000 – 165’000
Turitg
Deep Learning·Computer Vision·Generative AI+8·+7·+6·+5GooglePerscrutaziun·Junior·Praticumavant 28 disavant 28 dStudent Researcher
stim.CHF 40’000 – 60’000
Turitg
Machine Learning·Deep Learning·Computer Vision+3·+2·+1Senior Fellow - Scientific AI (Clinical Biostatistician)
stim.CHF 160’000 – 180’000
Genevra · Turitg
Machine Learning·Deep Learning·Reinforcement Learning+6·+5·+4·+3ApplePerscrutaziun·Midavant 31 disavant 31 dAIML - Machine Learning Researcher, Multimodal Foundation Models
stim.CHF 150’000 – 170’000
Turitg
Machine Learning·Deep Learning·NLP+6·+5·+4·+3Research Intern – Hardware Optimization for AI Accelerators
stim.CHF 25’000 – 45’000
Turitg
DIFFUSION MODEL·LLM·Agentic AI+3·+2·+1Research Intern: Agentic System-Level Hardware Design
stim.CHF 35’000 – 55’000
Turitg
LLM·Agentic AI+2·+1ApplePerscrutaziun·Senioravant 31 disavant 31 dAIML - Foundation Model Post-Training Research Scientist
stim.CHF 150’000 – 170’000
Turitg
Machine Learning·Deep Learning·Reinforcement Learning+11·+10·+9·+8Google DeepMindPerscrutaziun·Midavant 34 disavant 34 dResearch Scientist, Gemini Vision, DeepMind
stim.CHF 150’000 – 170’000
Turitg
Machine Learning·NLP·DATA MINING+9·+8·+7·+6NvidiaPerscrutaziun·Junior·Praticumavant 34 disavant 34 dPhD Research Intern, Autonomous Systems and Physical AI Research
stim.CHF 25’000 – 45’000
Turitg
Machine Learning·Deep Learning·Reinforcement Learning+7·+6·+5·+4IBM ResearchPerscrutaziun·Junior·Praticumavant 40 disavant 40 dResearch Internship in AI and Quantum Algorithms for PDEs
stim.CHF 25’000 – 45’000
Turitg
Machine Learning·Foundation Models·PyTorch+4·+3·+2·+1Research Intern on Hardware Acceleration for Agentic-Era Server Workloads
stim.CHF 25’000 – 45’000
Turitg
Neural Networks·Agentic AI·Vector Databases+3·+2·+1ApplePerscrutaziun·Junior·Praticumavant 40 disavant 40 dInternship - Machine Learning (Foundation Models)
stim.CHF 50’000 – 70’000
Turitg
Machine Learning·Deep Learning·Reinforcement Learning+9·+8·+7·+6Researcher - Agentic Algorithms and Architectures
stim.CHF 115’000 – 135’000
Turitg
Agentic AI+1Research Intern: Next-generation Computer Architecture for Racks and SuperPods
stim.CHF 25’000 – 45’000
Turitg
Computer Vision·Generative AI·Agentic AI+3·+2·+1Research Scientist – Efficient and Controllable Generative Models
stim.CHF 130’000 – 150’000
Turitg
Machine Learning·Deep Learning·Computer Vision+5·+4·+3·+2
AnthropicPerscrutaziun·Midavant 55 disavant 55 dResearch Engineer, Cybersecurity RL (Reinforcement Learning)
stim.CHF 150’000 – 170’000
Turitg
Machine Learning·Reinforcement Learning·LLM+5·+4·+3·+2IBM ResearchPerscrutaziun·Junior·Praticumavant 58 disavant 58 dInternship — Quantum Algorithms and Applications for Linear Algebra & Hamiltonian Simulation
stim.CHF 25’000 – 45’000
Turitg
Machine Learning·AI-Native+2·+1
RAI Robotics and AI InstitutePerscrutaziun·Junior·Praticumavant 61 disavant 61 dAutonomous Agent Engineering Intern
stim.CHF 25’000 – 45’000
Turitg
Reinforcement Learning·ROBOT LEARNING·LLM+6·+5·+4·+3RAI Robotics and AI InstitutePerscrutaziun·Junior·Praticumavant 64 disavant 64 dSensor Calibration & Integration Intern
stim.CHF 25’000 – 45’000
Turitg
Machine Learning·Computer Vision·AI-Native+3·+2·+1RAI Robotics and AI InstitutePerscrutaziun·Junior·Praticumavant 68 disavant 68 dInternship - Software Engineering
stim.CHF 35’000 – 55’000
Turitg
Machine Learning·Neural Networks·Reinforcement Learning+4·+3·+2·+1
OpenAIPerscrutaziun·Senioravant 74 disavant 74 dRE/RS, Data Understanding - Foundations
stim.CHF 150’000 – 170’000
Turitg
Deep Learning·TRAINING DATA·AI-Native+3·+2·+1GooglePerscrutaziun·Junior·Praticumavant 77 disavant 77 dResearch Scientist PhD Intern
stim.CHF 95’000 – 115’000
Turitg
Machine Learning·Deep Learning·Reinforcement Learning+7·+6·+5·+4
ZalandoPerscrutaziun·Senioravant 80 disavant 80 dSenior Principal Applied Scientist - Ranking and Recommendations
stim.CHF 160’000 – 180’000
Turitg
Machine Learning·Deep Learning·PyTorch+4·+3·+2·+1Senior Researcher AI Compiler Architecture
stim.CHF 150’000 – 170’000
Turitg
Deep Learning·Computer Vision+2·+1IBM ResearchPerscrutaziun·Junior·Praticumavant 92 disavant 92 dMaster's Thesis — Next-Generation Query and Workflow Processing across Heterogeneous Engines and Hardware
stim.CHF 25’000 – 45’000
Turitg
Machine Learning·Vector Databases·AI-Native+3·+2·+1Research Scientist - Scientific Simulation on AI Infrastructure
stim.CHF 130’000 – 150’000
Turitg
LLM·Agentic AI·PyTorch+3·+2·+1AI Scientist
stim.CHF 150’000 – 170’000
Turitg
LLM·Fine-tuning·MLOps+5·+4·+3·+2RAI Robotics and AI InstitutePerscrutaziun·Junior·Praticumavant 95 disavant 95 dInternship
stim.CHF 25’000 – 45’000
Turitg
Machine Learning·AI-Native+2·+1
OdysseyPerscrutaziun·Senioravant 101 disavant 101 dMember of Technical Staff, Research
stim.CHF 160’000 – 180’000
Turitg
Computer Vision·Generative AI·AI-Native+3·+2·+1OdysseyPerscrutaziun·Junioravant 101 disavant 101 dAI Resident
stim.CHF 100’000 – 120’000
Turitg
Machine Learning·GPT·AI-Native+3·+2·+1ApplePerscrutaziun·Senioravant 107 disavant 107 dResearch Scientist/ Engineer - Special Projects
stim.CHF 130’000 – 150’000
Turitg
Machine Learning·Deep Learning·Computer Vision+4·+3·+2·+1ApplePerscrutaziun·Senioravant 111 disavant 111 dResearch Scientist - LLM Efficiency
stim.CHF 130’000 – 150’000
Turitg
Machine Learning·Deep Learning·DIFFUSION MODEL+5·+4·+3·+2Research Intern: Next-generation NPU and Agentic CPU Micro-architecture
stim.CHF 25’000 – 45’000
Turitg
Computer Vision·Agentic AI+2·+1Senior/Principal Researcher: Next-generation NPU and Agentic CPU Micro-architecture
stim.CHF 150’000 – 170’000
Turitg
Computer Vision·Agentic AI+2·+1IBM ResearchPerscrutaziun·Junior·Praticumavant 117 disavant 117 dMaster's Thesis — AI Models and Inference Systems
stim.CHF 0 – 20’000
Turitg
Machine Learning·Foundation Models·LLM+7·+6·+5·+4IBM ResearchPerscrutaziun·Junior·Praticumavant 123 disavant 123 dMaster's Thesis — Agentic AI for Electronic Design Automation
stim.CHF 0 – 20’000
Turitg
Agentic AI·MCP·AI-Native+3·+2·+1Huawei Research Centre – Competition Talent Program
stim.CHF 25’000 – 45’000
Turitg
Machine Learning·Computer Vision·Generative AI+3·+2·+1IBM ResearchPerscrutaziun·Junioravant 132 disavant 132 dPhD Position — Time and Memory Efficient Proof Systems
stim.CHF 50’000 – 70’000
Turitg
Machine Learning·AI-Native+2·+1IBM ResearchPerscrutaziun·Junior·Praticumavant 132 disavant 132 dMaster's Thesis — Neural Solvers for Mixed-Integer Nonlinear Programming
stim.CHF 25’000 – 45’000
Turitg
Machine Learning·Deep Learning·Neural Networks+6·+5·+4·+3IBM ResearchPerscrutaziun·Junior·Praticumavant 141 disavant 141 dMaster's Thesis — Hybrid Quantum-Neural Solvers for Mixed-Integer Nonlinear Programming
stim.CHF 25’000 – 45’000
Turitg
Machine Learning·Deep Learning·AI-Native+3·+2·+1
MindfirePerscrutaziun·Mid·Temp parzialavant 148 disavant 148 dAI Lab Assistant to the CEO & Team (30 - 60%)
stim.CHF 75’000 – 95’000
Tavau · Turitg
Generative AI·AI-Native+2·+1MindfirePerscrutaziun·Junior·Temp parzialavant 148 disavant 148 dSpontaneous Application - Team Member
stim.CHF 60’000 – 80’000
Turitg
AI-Native+1MindfirePerscrutaziun·Mid·Temp parzialavant 148 disavant 148 dAI Engineer and Technical Support (40-80%)
stim.CHF 80’000 – 100’000
Tavau · Turitg
Machine Learning·AI-Engineer·AI-Native+3·+2·+1
Tufa LabsPerscrutaziun·Senioravant 162 disavant 162 dResearch Engineer
stim.CHF 100’000 – 120’000
Turitg
Deep Learning·Reinforcement Learning·LLM+4·+3·+2·+1ApplePerscrutaziun·Senioravant 163 disavant 163 dAIML - Research Scientist, Health
stim.CHF 150’000 – 170’000
Turitg
Machine Learning·Deep Learning·Foundation Models+4·+3·+2·+1IBM ResearchPerscrutaziun·Senioravant 171 disavant 171 dResearch Engineers / Research Scientists — Next-Generation Data Systems
stim.CHF 110’000 – 130’000
Turitg
Machine Learning·AI-Native+2·+1ApplePerscrutaziun·Senioravant 181 disavant 181 dAI Research Scientist - Multimodal Intelligence
stim.CHF 150’000 – 170’000
Turitg
Machine Learning·Deep Learning·Reinforcement Learning+9·+8·+7·+6ApplePerscrutaziun·Senioravant 192 disavant 192 dAIML - Apple Foundation Models: Senior ML Research Scientist, RL & Agentic Reasoning
stim.CHF 150’000 – 170’000
Turitg
Machine Learning·Deep Learning·Reinforcement Learning+11·+10·+9·+8Flexion RoboticsPerscrutaziun·Senioravant 192 disavant 192 dAI Research Engineer - Dexterous Manipulation (Egocentric Models)
stim.CHF 110’000 – 130’000
Turitg
Machine Learning·Neural Networks·Reinforcement Learning+9·+8·+7·+6IBM ResearchPerscrutaziun·Junior·Praticumavant 192 disavant 192 dInternship or Master's Thesis — Agent-Centric Data Systems
stim.CHF 40’000 – 60’000
Turitg
LLM·AI-Native+2·+1IBM ResearchPerscrutaziun·Junior·Praticumavant 199 disavant 199 dInternship — Docling
stim.CHF 40’000 – 60’000
Turitg
Machine Learning·Deep Learning·NLP+8·+7·+6·+5
Mimic RoboticsPerscrutaziun·Senioravant 199 disavant 199 dAI Research Scientist (Robot Learning)
stim.CHF 130’000 – 150’000
Turitg
Deep Learning·ROBOT LEARNING·Generative AI+9·+8·+7·+6
Disney ResearchPerscrutaziun·Junior·Praticumavant 201 disavant 201 dResearch Internship
stim.CHF 30’000 – 50’000
Turitg
Machine Learning·Deep Learning·Computer Vision+4·+3·+2·+1Rimnà ozoz
VLA/WAM Research Engineer
stimà da Gemini 2.5 FlashCHF 110’000 – 130’000/ onn
TuritgDeep 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