Artificial Intelligence Engineer

Scubyt Inc; Santa Clara (CA); On-site; USD 160,000 - 210,000; Full time

Job summary

Scubyt Inc in Santa Clara, CA is seeking a Senior or Staff AI Engineer to build multimodal AI models powering autonomous robotic platforms. You will own end-to-end development from research to production deployment in a fast-moving environment.

You will work at the intersection of foundation models, agentic AI, reinforcement learning, simulation, and robotics, collaborating with robotics and software teams to deliver reliable, real-world AI systems.

Qualifications

• 6+ years of professional experience developing and deploying AI/ML systems.
• 2+ years of experience with multimodal AI, foundation models, or agentic systems.
• Strong programming skills in Python and hands-on experience with PyTorch.
• Experience training or fine-tuning large-scale deep learning models.
• Experience with distributed training and modern ML infrastructure.
• Strong understanding of model evaluation, experimentation, and data preparation.
• Experience with modern AI training techniques (SFT, DPO, RL).
• Ability to take an AI concept from experimentation through production deployment.
• Bachelor's/Master's/PhD in Computer Science, Engineering, Mathematics, Physics, or related field or equivalent experience.

Responsibilities

• Develop and improve multimodal AI models for autonomous robotic applications.
• Experiment with model architectures, training approaches, datasets, and evaluation techniques.
• Build scalable pipelines for training and fine-tuning large AI models.
• Develop AI capabilities involving reasoning, memory, planning, communication, and tool usage.
• Design evaluation frameworks, benchmarks, and metrics to measure model performance.
• Create simulation and testing environments for reinforcement learning and synthetic data generation.
• Work with real-world and simulated datasets to improve model capabilities.
• Translate research concepts into reliable, production-ready AI systems.
• Collaborate with robotics, software, and systems engineers to integrate AI into autonomous platforms.
• Participate in testing and field deployments to evaluate system performance.
• Help shape technical direction, engineering practices, and development processes as the team grows.

Skills

AI/ML systems development

Multimodal AI / agentic systems

Python programming

PyTorch

Model training & fine-tuning

Distributed training infra

Experimentation & evaluation

Production deployment

SFT / DPO / RL concepts

Education

Bachelor's/Master's/PhD in a relevant technical field

Tools

PyTorch ecosystem

Job description

Senior AI Engineer – Multimodal & Autonomous Systems

Employment Type: Full-Time/Contract

Only Locals can apply

About the Role

We are seeking a highly experienced Senior or Staff AI Engineer to work on advanced AI systems powering autonomous robotic platforms. You will help develop intelligent models capable of understanding complex environments, making decisions, coordinating with other autonomous systems, and operating reliably in real-world scenarios.

This role is ideal for an engineer who enjoys working at the intersection of foundation models, agentic AI, reinforcement learning, simulation, and robotics and wants significant ownership in a fast-moving environment.

What You'll Do

• Develop and improve multimodal AI models for autonomous robotic applications.
• Experiment with model architectures, training approaches, datasets, and evaluation techniques.
• Build scalable pipelines for training and fine-tuning large AI models.
• Develop AI capabilities involving reasoning, memory, planning, communication, and tool usage.
• Design evaluation frameworks, benchmarks, and metrics to measure model performance.
• Create simulation and testing environments for reinforcement learning and synthetic data generation.
• Work with real-world and simulated datasets to improve model capabilities.
• Translate research concepts into reliable, production-ready AI systems.
• Collaborate with robotics, software, and systems engineers to integrate AI into autonomous platforms.
• Participate in testing and field deployments to evaluate system performance under real-world conditions.
• Help shape technical direction, engineering practices, and development processes as the team grows.

Required Qualifications

• 6+ years of professional experience developing and deploying AI/ML systems.
• 2+ years of experience working with multimodal AI, foundation models, or agentic systems.
• Strong programming skills in Python and hands-on experience with PyTorch.
• Experience training or fine-tuning large-scale deep learning models.
• Experience working with distributed training and modern ML infrastructure.
• Strong understanding of model evaluation, experimentation, and data preparation.
• Experience with modern AI training techniques such as SFT, DPO, or reinforcement-learning-based approaches.
• Ability to take an AI concept from experimentation through production deployment.
• Bachelor's, Master's, or PhD in Computer Science, Engineering, Mathematics, Physics, or a related technical discipline, or equivalent practical experience.

Preferred Experience

• Robotics or physical AI.
• Multi-agent systems.
• Computer vision and multimodal models.
• Simulation environments and synthetic data generation.
• AI planning, reasoning, memory, or tool-use systems.
• Edge AI or real-time inference optimization.
• Experience deploying AI systems in resource-constrained environments.