Member of Technical Staff, Machine Learning
Location: San Francisco, CA
Employment Type: Full-Time
Work Arrangement: Onsite
About the Role
We're looking for an exceptional
Machine Learning Engineer / Member of Technical Staff to help develop state-of-the-art multimodal AI systems.
This role sits at the intersection of frontier AI research and production engineering, focusing on training, fine-tuning and deploying large-scale Vision-Language Models capable of understanding motion and real-world environments from video data.
You'll work directly with a highly technical founding team, helping shape both the research roadmap and the core machine learning platform from an early stage.
Responsibilities
- Train, fine-tune and evaluate large-scale Vision-Language Models and multimodal foundation models.
- Design and optimize GPU-accelerated training, inference and evaluation pipelines.
- Develop multimodal architectures capable of reasoning over video, language and sensor data.
- Build evaluation frameworks for benchmarking model performance across complex reasoning tasks.
- Develop scalable data curation pipelines that improve model quality through automated dataset generation.
- Collaborate closely with leadership to take research ideas from experimentation into production.
- Contribute to cutting-edge research while building production-ready AI systems.
Required Experience
- Strong Python and PyTorch development experience.
- Experience training or fine-tuning foundation models, Vision-Language Models or other multimodal AI systems.
- Strong understanding of modern deep learning workflows and large-scale experimentation.
- Experience working with video, image or sensor-based machine learning datasets.
- Knowledge of embeddings, retrieval systems and GPU optimization techniques.
- Ability to work independently in a fast-paced startup environment.
Preferred Experience
- Publications or research experience in machine learning, computer vision or multimodal AI.
- Experience with distributed training, vector databases or ML orchestration platforms.
- Contributions to open-source machine learning frameworks.
- Previous experience within robotics, autonomous systems or computer vision.
Why Join?
- Build frontier AI technology with real-world impact.
- Work directly alongside an experienced technical founding team.
- Significant ownership over both research and engineering decisions.
- Opportunity to influence the direction of an ambitious, early-stage AI company.
- Competitive compensation package including meaningful equity.
