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Added 17 mins ago
Industrial Engineering Student/Co-op - Winter 2027
J.D. Irving, Limited
Halifax, NS
Full-time
Are you ready to engineer real change in one of Canada’s most advanced shipyards?
Added 47 mins ago
ML/AI Engineer
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Added 7 hours ago
Machine Learning Engineer, VLA & RL - Senior
cyberwave digital agency
Zurich, ON
Full-time
We're looking for a Machine Learning Engineer focused on vision-language-action (VLA) models, reinforcement learning, and cross-embodiment transfer. You'll work on models that turn…
Added 7 hours ago
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Added 9 hours ago
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Full-time
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Added 9 hours ago
AI Engineer
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Full-time
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Added 9 hours ago
AI Engineer with Python - (Hybrid)
S M Software Solutions Inc
Mississauga, ON
Full-time
We are seeking an experienced AI Engineer with Python with 8+ years of software engineering experience and strong expertise in Python, FastAPI/Flask, AI/LLM applications, REST APIs, data…
Added 9 hours ago
AI Engineer
S M Software Solutions Inc
Mississauga, ON
Full-time
We are seeking an experienced AI Engineer with 7+ years of experience in software and AI engineering to design, develop, and deploy AI/ML solutions. The ideal candidate will have strong…

cyberwave digital agency

Machine Learning Engineer, VLA & RL - Senior

Zurich, ON, Canada

Job type: Full-time
Apply by: Oct 1, 2026
Experience: 3+ years of hands-on experience building ML systems for robotics, embodied AI, reinforcement learning, or visuomotor control
Posting language: English
Posted: Aug 5, 2026

Apply About employer

Applications open in a new tab.

Original job description

Full-timeTC starting at 70k

Milan / Zurich

Posted 1 day ago

Build vision-language-action and reinforcement learning models for real-world robotic systems. Train policies that generalize across embodiments, tasks, simulators, and physical deployments.

Cyberwave is building the infrastructure layer for intelligent machines - making robotics as accessible, scalable, and programmable as cloud software. Our platform connects simulation, digital twins, edge devices, cloud training, and real robots into one operating layer for robotics teams.

We're looking for a Machine Learning Engineer focused on vision-language-action (VLA) models, reinforcement learning, and cross-embodiment transfer. You'll work on models that turn perception, language, and task context into robot actions across different hardware platforms: arms, mobile robots, drones, and other industrial systems.

This is a hands-on applied ML role. We care about candidates who have trained and evaluated real policies, debugged failures across simulation and hardware, and understand the gap between promising demos and reliable deployment. You'll work closely with robotics, simulation, infrastructure, and product teams to build learning systems that can be trained at scale, evaluated rigorously, and deployed safely on real robots.

This role is based in Milan or Zurich, with regular access to real robots, simulation infrastructure, and customer-facing deployment scenarios.

Vision-Language-Action ModelsReinforcement LearningCross-Embodiment TransferImitation LearningBehavior CloningPyTorchPythonRobotics SimulationSim2real TransferPolicy EvaluationEmbodied AIRobot Control

Work Style

Hands-on applied ML for embodied AI, simulation, and real robot deployments

Requirements

3+ years of hands-on experience building ML systems for robotics, embodied AI, reinforcement learning, or visuomotor control
Specific experience with vision-language-action (VLA) models, robotic foundation models, imitation learning, behavior cloning, or language-conditioned policies
Strong experience with reinforcement learning algorithms and workflows, such as PPO, SAC, offline RL, RL fine-tuning, reward modeling, or policy evaluation
Practical experience with cross-embodiment transfer, including transferring policies across robot morphologies, sensors, action spaces, simulators, or real hardware platforms
Experience training and evaluating policies in simulation environments such as MuJoCo, Isaac Sim/Lab, PyBullet, ManiSkill, robosuite, or similar robotics simulators
Strong Python and PyTorch skills, with good software engineering habits for reproducible training, experiment tracking, datasets, and evaluation
Comfort debugging model failures across perception, action representations, control loops, latency, data quality, and hardware behavior
Comfortable working in English in an international, fast-moving environment

Responsibilities

Train and evaluate VLA, imitation learning, and reinforcement learning policies for real robotic tasks
Build model and data pipelines for language-conditioned robot control, visuomotor policies, trajectory datasets, and action representations
Design experiments for cross-embodiment transfer across arms, mobile robots, drones, simulated systems, and physical hardware
Improve policy robustness through simulation, domain randomization, dataset curation, offline evaluation, online rollouts, and sim-to-real validation
Collaborate with robotics and infrastructure teams to deploy learned policies into Cyberwave's edge, simulation, and digital twin stack
Create rigorous evaluation suites for task success, generalization, safety, latency, and real-world reliability
Stay close to frontier research in embodied AI while turning useful ideas into production-quality systems

What We Offer

Work on frontier embodied AI with direct paths to real robot deployment

Access to real robots, simulation infrastructure, and robotics datasets

Competitive compensation and meaningful equity

Join a high-talent team of repeat founders, ex-Google engineers, and PhDs

In-person collaboration in Milan and Zurich with real hardware and high ownership

Apply About employer

More about this job

Responsibilities

Train and evaluate VLA, imitation learning, and reinforcement learning policies for real robotic tasks. Build model and data pipelines for language-conditioned robot control and design experiments for cross-embodiment transfer.

Requirements

Requires 3+ years of hands-on experience in ML systems for robotics, embodied AI, or reinforcement learning. Candidates must have strong Python and PyTorch skills with experience in robotics simulators and policy evaluation.

Skills

Machine Learning
Reinforcement Learning
Vision-Language-Action Models
Robotics
PyTorch
Python
Imitation Learning
Behavior Cloning
Sim2real Transfer
Embodied AI
Robot Control
MuJoCo
Isaac Sim
Policy Evaluation
Data Pipelines

Benefits

Competitive compensation
Meaningful equity

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Reinforcement Learning
VLA Models
Robotics
Embodied AI
Imitation Learning
Behavior Cloning
PyTorch
Python
Sim2real
MuJoCo
Isaac Sim
Digital Twins
PPO
SAC
Offline RL
Visuomotor Control
Robotic Foundation Models
Domain Randomization
Data Pipelines
Trajectory Datasets
Edge Devices
Cloud Training
Robotics Simulation
Policy Evaluation

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