Principal (Lead) Machine Learning Engineer
Role summary
A fast-growing SaaS company is seeking a Principal (Lead) Machine Learning Engineer to be a foundational technical leader on their AI team. This role focuses on multimodal AI, combining language, vision, and spatial reasoning to solve complex, open-ended problems. Responsibilities include leading architecture, designing novel ML systems, working with LLMs and vision models, developing training and serving infrastructure, and adapting foundation models to a unique 3D dataset. The ideal candidate has 8+ years of ML experience, expertise in VLM/multimodal AI, 3D understanding, and deep learning frameworks like PyTorch, with a proven ability to lead technical initiatives in ambiguous, research-heavy environments.
🚀 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