Principal (Lead) Machine Learning Engineer

🚀 Principal (Lead) Machine Learning Engineer – Vision-Language Models (VLA or VLM), Robotics

💼 Fully Remote / Full-Time / Direct Hire (Salary + Bonus + Equity)

Join a fast-growing SaaS company transforming how people learn to assemble, install, and repair the physical world.

Our platform delivers 3D Intelligent Instructions® used by hundreds of global brands—combining interactive, touch-based experiences with cutting-edge technology. With 175% growth and recognition by Dallas 100 & Inc. 5000, we are redefining training through AI + spatial computing.

🌟 About the Role

We’re looking for a Principal (Lead) Machine Learning Engineer to serve as a foundational technical leader on our AI team.

This is not a traditional ML role. You’ll be working at the frontier of multimodal AI, solving open-ended problems that combine language, vision, and spatial reasoning—with no established playbooks.

🧠 What You’ll Do

• Lead architecture and technical direction for the AI platform
• Design and build novel ML systems for multimodal understanding and generation
• Work across LLMs, vision models, and spatial reasoning systems
• Develop training pipelines, evaluation frameworks, and model-serving infrastructure
• Extend and adapt foundation models to a unique 3D instructional dataset
• Tackle research-oriented challenges from concept → production
• Mentor engineers and raise the bar for engineering excellence
• Partner with AI leadership and executive team on strategy

🔎 What We’re Looking For

• 8+ years in machine learning with production systems experience
• Vision-Language Models (VLA or VLM), multimodal architectures, embodied AI, Robotics
• 3D understanding, CAD, spatial computing, or geometric deep learning
• Deep expertise in PyTorch (preferred) or similar frameworks
• Strong experience with LLMs, multimodal models, or deep learning architectures
• Comfortable working in ambiguous, research-heavy environments
• Proven ability to lead complex technical initiatives
• Model optimization, inference performance, and large-scale deployment
• Publications, open-source contributions, or research impact
• Startup or high-growth environment experience

🔥 Why This Role Is Exciting

• Work at the intersection of AI, 3D, and real-world problem solving
• Build systems that don’t yet have industry playbooks
• Shape the technical direction of a high-growth AI team
• Leverage a unique proprietary dataset for multimodal learning
• High visibility, high impact, and true ownership
• Collaborate directly with executive leadership