Machine Learning, Robotics Engineer – Simulation

🕒 Yesterday

🇺🇾 Uruguay – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Marvik

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Marvik is a technology consultancy that designs, builds, and deploys production-ready artificial intelligence solutions for enterprise customers. They offer end-to-end AI services including strategy and opportunity discovery, data engineering, model development (agents, LLMs, generative AI, computer vision, predictive analytics), robotics and automation, and on-demand senior AI talent and leadership (fractional CAIO). Marvik focuses on delivering scalable AI that drives business impact across industries like retail, e-commerce, logistics, fintech, manufacturing, healthcare, energy, and government.

📋 Description

• Develop and evaluate machine learning and robotics solutions from early experimentation to production integration • Build and use simulated environments to test algorithms, generate synthetic data, and evaluate system behavior • Develop pipelines for data collection, processing, training, and evaluation • Integrate models with sensors, software systems, and hardware when required • Design experiments to assess performance, understand failure modes, and measure simulation-to-real-world transfer • Collaborate with engineers, researchers, and clients to translate project requirements into practical solutions • Write maintainable code and contribute reusable tools and engineering practices across projects

🎯 Requirements

• Professional experience in machine learning engineering, robotics, or a closely related field • Hands-on experience with a simulation platform such as NVIDIA Isaac Sim, Isaac Lab, MuJoCo, Gazebo, PyBullet, or a comparable tool • Strong Python programming skills and solid software engineering fundamentals • Experience developing and evaluating ML models or robotics algorithms, with a clear understanding of validation and performance metrics • Familiarity with sensor modeling, coordinate transformations, kinematics, dynamics, or physics-based simulation • Comfort working with Linux, Git, and collaborative development workflows • Ability to navigate open-ended problems, communicate trade-offs, and take ownership of implementation and validation • Plus: computer vision, 3D perception, or multimodal learning • Plus: synthetic data generation, domain randomization, or sim-to-real evaluation • Plus: reinforcement learning, imitation learning, motion planning, or control • Plus: ROS/ROS 2 and integration with physical sensors or robots • Plus: deployment on edge devices such as NVIDIA Jetson • Plus: C++, GPU optimization, Docker, or cloud infrastructure • Plus: experience bringing prototypes into reliable production systems

🏖️ Benefits

• No explicit benefits, perks, or compensation extras stated