Skildai Careers

<div><h2><strong>Company Overview</strong></h2>
<p>At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.</p></div><h2><strong>Position Overview</strong></h2>
<p>We are seeking a Computer Vision AI &amp; ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full machine learning lifecycle—model development, data strategy, evaluation, and production integration—to deliver robust, high-performance vision capabilities. This role combines applied research with hands-on engineering and offers the opportunity to influence both architecture and roadmap decisions.</p>
<h2><strong>Responsibilities</strong></h2>
<ul>
<li>Develop and optimize deep learning models for object detection, segmentation, tracking, and 3D scene understanding using multi-modal sensor data.</li>
<li>Build scalable pipelines for data processing, training, evaluation, and deployment into real-world and real-time systems.</li>
<li>Design labeling strategies and tooling for automated annotation, QA workflows, dataset management, augmentation, and versioning.</li>
<li>Implement monitoring and reliability frameworks, including uncertainty estimation, failure detection, and automated performance reporting.</li>
<li>Conduct proof-of-concept experiments to evaluate new algorithms and perception techniques; translate research insights into practical prototypes.</li>
<li>Collaborate with robotics, systems, and simulation teams to integrate perception models into production pipelines and improve end-to-end performance.</li>
</ul>
<h2><strong>Preferred Qualifications</strong></h2>
<ul>
<li>Strong experience with deep learning frameworks (PyTorch, TensorFlow, or JAX).</li>
<li>Background in computer vision tasks such as detection, segmentation, tracking, or 3D scene understanding.</li>
<li>Proficiency in Python; familiarity with C++ is a plus.</li>
<li>Experience building training pipelines, evaluation frameworks, and ML deployment workflows.</li>
<li>Knowledge of 3D geometry, sensor processing, or multi-sensor fusion (RGB-D, LiDAR, stereo).</li>
<li>Experience with data annotation tools, dataset management, and augmentation techniques.</li>
<li>Familiarity with robotics, simulation environments (Isaac Sim, Gazebo, Blender), or real-time systems.</li>
<li>Understanding of uncertainty modeling, reliability engineering, or ML monitoring/MLOps practices.</li>
</ul>

Computer Vision AI & ML Engineer

<div><h2><strong>Company Overview</strong></h2>
<p>At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.</p></div><h2><strong>Position Overview</strong></h2>
<p>We are looking for a Software Engineer to work at the forefront of developing and optimizing the software infrastructure and tools necessary for training cutting-edge AI models. You will focus on building robust, scalable, and efficient training pipelines and frameworks that support the entire machine learning lifecycle, from data preparation to model deployment. You will collaborate with researchers and machine learning engineers to ensure seamless integration and operation of training systems, pushing the boundaries of what AI can achieve in real-world robotics applications. You will explore new ways to efficiently make use of many types of data in our training pipeline.</p>
<h2><strong>Responsibilities</strong></h2>
<ul>
<li>Develop and maintain robust, scalable, and distributed training pipelines (data preprocessing, training orchestration, and model evaluation) and frameworks for large-scale AI models.</li>
<li>Optimize training processes for performance and resource utilization, ensuring scalability and reliability.</li>
<li>Collaborate with researchers and machine learning engineers to integrate state-of-the-art algorithms and techniques into training pipelines.</li>
<li>Monitor and analyze training, identifying bottlenecks and proposing solutions to improve efficiency and performance.</li>
<li>Ensure the robustness and reliability of the training infrastructure, including automated testing and continuous integration.</li>
</ul>
<h2><strong>Preferred Qualifications</strong></h2>
<ul>
<li>BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.</li>
<li>Minimum of 3 years of industry experience.</li>
<li>Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.</li>
<li>Strong background in distributed computing, parallel processing techniques, handling large-scale datasets and data preprocessing.</li>
<li>Deep understanding of state-of-the-art machine learning techniques and models.</li>
<li>Experience with cloud-based training environments (AWS, Google Cloud, Azure).</li>
<li>Experience in developing and maintaining software tooling and infrastructure for machine learning.</li>
<li>Deep understanding and practical experience with software engineering principles, including algorithms, data structures, and system design.</li>
<li>Experience with continuous integration and automated testing frameworks.</li>
</ul>
<p> </p><div><div><div>Base Salary Range</div><div><span>$100,000</span><span>—</span><span>$300,000 USD</span></div></div></div>

Software Engineer, AI Training and Infrastructure

<div><h2><strong>Company Overview</strong></h2>
<p>At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.</p></div><h2><strong>Position Overview</strong></h2>
<p>We are seeking a Computer Vision AI &amp; ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full machine learning lifecycle—model development, data strategy, evaluation, and production integration—to deliver robust, high-performance vision capabilities. This role combines applied research with hands-on engineering and offers the opportunity to influence both architecture and roadmap decisions.</p>
<h2><strong>Responsibilities</strong></h2>
<ul>
<li>Develop and optimize deep learning models for depth estimation, object detection, segmentation, tracking, and 3D scene understanding using multi-modal sensor data.</li>
<li>Build scalable pipelines for data processing, training, evaluation, and deployment into real-world and real-time systems.</li>
<li>Design labeling strategies and tooling for automated annotation, QA workflows, dataset management, augmentation, and versioning.</li>
<li>Implement monitoring and reliability frameworks, including uncertainty estimation, failure detection, and automated performance reporting.</li>
<li>Conduct proof-of-concept experiments to evaluate new algorithms and perception techniques; translate research insights into practical prototypes.</li>
<li>Collaborate with robotics, systems, and simulation teams to integrate perception models into production pipelines and improve end-to-end performance.</li>
</ul>
<h2><strong>Preferred Qualifications</strong></h2>
<ul>
<li>Strong experience with deep learning frameworks (PyTorch, TensorFlow, or JAX).</li>
<li>Background in computer vision tasks such as detection, depth estimation, segmentation, tracking, or 3D scene understanding.</li>
<li>Proficiency in Python; familiarity with C++ is a plus.</li>
<li>Experience building training pipelines, evaluation frameworks, and ML deployment workflows.</li>
<li>Knowledge of 3D geometry, sensor processing, or multi-sensor fusion (RGB-D, LiDAR, stereo).</li>
<li>Experience with data annotation tools, dataset management, and augmentation techniques.</li>
<li>Familiarity with robotics, simulation environments (Isaac Sim, Gazebo, Blender), or real-time systems.</li>
<li>Understanding of uncertainty modeling, reliability engineering, or ML monitoring/MLOps practices.</li>
</ul>

<div><h2><strong>Company Overview</strong></h2>
<p>At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.</p></div><h2><strong>Position Overview</strong></h2>
<p>We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. This will require close collaboration with our robotics, research, and engineering team. Your work will directly impact the development of intelligent, adaptable robots capable of learning and performing complex tasks autonomously.</p>
<h2><strong>Responsibilities</strong></h2>
<ul>
<li>Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications.</li>
<li>Design and conduct experiments to train RL models and conduct real-world tests.</li>
<li>Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training.</li>
<li>Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment.</li>
<li>Analyze and interpret experimental results, iterating on model design to achieve desired performance.</li>
<li>Stay up-to-date with the latest research and advancements in reinforcement learning.</li>
</ul>
<h2><strong>Preferred Qualifications</strong></h2>
<ul>
<li>BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.</li>
<li>Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.</li>
<li>Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.).</li>
<li>Strong background in algorithms, data structures, and software engineering principles.</li>
<li>Experience with physics simulation engines and tools for training RL.</li>
<li>Deep understanding of state-of-the-art machine learning techniques and models.</li>
<li>Extensive industry experience with reinforcement learning and robotic systems.</li>
</ul>
<p> </p><div><div><div>Base Salary Range</div><div><span>$100,000</span><span>—</span><span>$300,000 USD</span></div></div></div>

Machine Learning Engineer

<div><h2><strong>Company Overview</strong></h2>
<p>At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.</p></div><div>
<h2><strong>Position Overview</strong></h2>
<p>We are looking for Research Scientists to lead the effort in developing the next generation of techniques to advance the capabilities of our robotic systems. We are looking for people with proven expertise in machine learning and/or robotics, who are passionate about pushing the boundaries of what is possible. You will collaborate with a team of talented researchers and engineers, and enhance our cohesive research strategy, driving ongoing innovation and technological advancements within the company. The ideal candidate will have a track record of discovering fundamental, scalable solutions, and a passion for seeing their research transform into impactful applications.</p>
<h2><strong>Responsibilities</strong></h2>
<ul>
<li>Develop new algorithms and methods for training general-purpose robot foundation models.</li>
<li>Conduct cutting edge research across multiple disciplines (Perception, Robotics, RL / IL, Machine Learning, etc.).</li>
<li>Work with large scale systems and large-scale model training.</li>
</ul>
<h2><strong>Preferred Qualifications</strong></h2>
<ul>
<li>PhD degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.</li>
<li>Multiple years of experience in conducting research.</li>
<li>Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.</li>
<li>Publications at top-tier ML, robotics, or CV conferences (e.g., NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, CVPR, ECCV, ICCV).</li>
<li>Deep technical knowledge, and research experience in deep learning, reinforcement learning, robotics, or computer vision.</li>
<li>Deep understanding of state-of-the-art machine learning techniques and models.</li>
<li>Experience working with robot systems.</li>
<li>Experience working with large-scale model training and systems.</li>
</ul>
</div>
<div>
<div>
<p> </p>
</div>
</div><div><div><div>Base Salary Range</div><div><span>$100,000</span><span>—</span><span>$300,000 USD</span></div></div></div>

Skildai Careers

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Computer Vision AI & ML Engineer

Software Engineer, AI Training and Infrastructure

Computer Vision AI & ML Engineer

Machine Learning Engineer

Research Scientist

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