AI Engineer Jobs at Skild AI with Visa Sponsorship
Skild AI hires AI Engineers to advance foundation model research for robotics and autonomous systems, a technical domain where specialized credentials matter. The company has a track record of sponsoring work visas across multiple categories, making it a realistic target if you're on OPT, TN, or planning an H-1B petition.
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Get Access To All JobsCompany Overview
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.
Position Overview
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.
Responsibilities
- Develop and maintain robust, scalable, and distributed training pipelines (data preprocessing, training orchestration, and model evaluation) and frameworks for large-scale AI models.
- Optimize training processes for performance and resource utilization, ensuring scalability and reliability.
- Collaborate with researchers and machine learning engineers to integrate state-of-the-art algorithms and techniques into training pipelines.
- Monitor and analyze training, identifying bottlenecks and proposing solutions to improve efficiency and performance.
- Ensure the robustness and reliability of the training infrastructure, including automated testing and continuous integration.
Preferred Qualifications
- BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
- Minimum of 3 years of industry experience.
- Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
- Strong background in distributed computing, parallel processing techniques, handling large-scale datasets and data preprocessing.
- Deep understanding of state-of-the-art machine learning techniques and models.
- Experience with cloud-based training environments (AWS, Google Cloud, Azure).
- Experience in developing and maintaining software tooling and infrastructure for machine learning.
- Deep understanding and practical experience with software engineering principles, including algorithms, data structures, and system design.
- Experience with continuous integration and automated testing frameworks.
Base Salary Range: $100,000 USD - $300,000 USD
Company Overview
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.
Position Overview
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.
Responsibilities
- Develop and maintain robust, scalable, and distributed training pipelines (data preprocessing, training orchestration, and model evaluation) and frameworks for large-scale AI models.
- Optimize training processes for performance and resource utilization, ensuring scalability and reliability.
- Collaborate with researchers and machine learning engineers to integrate state-of-the-art algorithms and techniques into training pipelines.
- Monitor and analyze training, identifying bottlenecks and proposing solutions to improve efficiency and performance.
- Ensure the robustness and reliability of the training infrastructure, including automated testing and continuous integration.
Preferred Qualifications
- BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
- Minimum of 3 years of industry experience.
- Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
- Strong background in distributed computing, parallel processing techniques, handling large-scale datasets and data preprocessing.
- Deep understanding of state-of-the-art machine learning techniques and models.
- Experience with cloud-based training environments (AWS, Google Cloud, Azure).
- Experience in developing and maintaining software tooling and infrastructure for machine learning.
- Deep understanding and practical experience with software engineering principles, including algorithms, data structures, and system design.
- Experience with continuous integration and automated testing frameworks.
Base Salary Range: $100,000 USD - $300,000 USD
See all 55+ AI Engineer at Skild AI jobs
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Get Access To All JobsTips for Finding AI Engineer Jobs at Skild AI Jobs
Frame your research background in robotics
Skild AI builds general-purpose robot intelligence, so your credentials land harder when they connect directly to embodied AI, sim-to-real transfer, or large-scale pretraining. Reframe thesis projects or publications around those domains before applying.
Verify E-Verify enrollment before accepting offers
F-1 OPT authorization requires your employer to be E-Verify enrolled. Confirm Skild AI's enrollment status through the E-Verify employer search before you get deep into offer negotiations, not after.
Target roles that align with your degree field
H-1B specialty occupation requires a direct connection between your degree field and the role. For AI Engineer positions, a degree in computer science, electrical engineering, or a related field is the cleanest fit and reduces RFE risk.
Use Migrate Mate to surface AI Engineer openings at Skild AI
Skild AI posts roles across research and applied engineering tracks, and openings move fast. Use Migrate Mate to filter specifically for visa-sponsoring AI Engineer roles so you're not manually screening postings that won't work for your status.
Prepare a portable evidence file for visa interviews
Gather your offer letter, certified LCA, degree transcripts, and any published research before your consular interview. Science and research roles often prompt technical questions about your specific work, so having documentation ready avoids delays.
AI Engineer at Skild AI jobs are hiring across the US. Find yours.
Find AI Engineer at Skild AI JobsFrequently Asked Questions
Does Skild AI sponsor H-1B visas for AI Engineers?
Yes, Skild AI sponsors H-1B visas for AI Engineer roles. The company has an active sponsorship history across multiple visa categories, and H-1B is among them. If you're currently on OPT and targeting an H-1B, your employer will need to file a petition during the annual cap registration window in March, with an October 1 start date if selected.
How do I apply for AI Engineer jobs at Skild AI?
Applications go through Skild AI's careers page, where roles are typically organized by research focus or engineering track. Migrate Mate also lists Skild AI's open AI Engineer positions filtered for visa sponsorship eligibility, which is useful if you want to confirm a role supports your visa type before spending time on the application.
Which visa types are commonly used for AI Engineer roles at Skild AI?
Skild AI sponsors H-1B, F-1 OPT, F-1 CPT, TN, and J-1 visas for AI Engineer positions. F-1 OPT and CPT are typical entry points for recent graduates, while H-1B is the standard path for longer-term employment. TN is available to Canadian and Mexican nationals in qualifying engineering and scientific roles.
What qualifications does Skild AI expect for AI Engineer roles?
Most AI Engineer roles at Skild AI target candidates with strong foundations in machine learning, deep learning, or robotics, typically backed by a graduate degree in computer science, electrical engineering, or a related field. Research experience in large-scale model training, reinforcement learning, or embodied AI is particularly relevant given the company's focus on general-purpose robot foundation models.
How do I plan my timeline if I need visa sponsorship for an AI Engineer role at Skild AI?
If you're moving from OPT to H-1B, your employer must file during the USCIS cap registration window in March for an October 1 start. Factor in Department of Labor LCA certification, which takes around seven business days under standard processing. If you need earlier work authorization, confirm whether your OPT cap-gap covers the gap between your I-20 end date and October 1.
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