Senior Machine Learning Engineer (VLM)
The Role
Own the design and development of cloud based Vision Language Model pipelines used for large scale labelling and annotation.
Drive decisions on what visual signals, metadata and contextual information are captured from edge devices to maximise VLM performance.
Build and evaluate end to end inference systems, including prompt design, fine tuning strategies and model benchmarking.
Partner closely with embedded systems, computer vision and data science teams to close the loop between devices and cloud intelligence.
Stay at the forefront of the VLM landscape, assessing and integrating commercial and open source models as capabilities evolve.
Your Skills and Experience
- Strong commercial experience as a machine learning engineer working with computer vision, LLMs or Vision Language Models
- Hands on experience evaluating, fine tuning or deploying VLMs in production environments
- Deep understanding of how edge constraints such as bandwidth, latency and compute influence model design
- Proficiency with Python, PyTorch and modern cloud based inference and evaluation tooling
- Practical expertise in prompt engineering and model evaluation, with a focus on measurable performance improvements
- Comfortable owning problems end to end and collaborating across hardware and software teams
What They Offer
- Competitive base salary of $200,000 to $230,000 plus equity
- Fully remote working across the United States
- Comprehensive benefits including medical, dental and vision cover
- Flexible paid time off and a strong culture of autonomy and trust
- The opportunity to be a technical leader in the application of Vision Language Models at scale
How to Apply
If you are excited by the challenge of building production grade VLM systems with real world impact, apply now to learn more about this opportunity.