Surveily is a start-up dedicated to transforming workplace health and safety standards globally through advanced technology. We are seeking a Senior Machine Learning Engineer to lead the development of production-grade computer vision solutions that address real-world challenges in demanding environments.
Key responsibilities
- Lead the design, development, and deployment of production-ready computer vision solutions.
- Own complex ML projects from problem definition through production deployment and long-term maintenance.
- Drive the complete ML lifecycle, including data strategy, model development, monitoring, and continuous improvement.
- Design and build reusable Python libraries, ML frameworks, and internal tooling to improve engineering efficiency.
- Mentor other engineers through technical guidance, code reviews, and knowledge sharing.
Requirements
- 5+ years of commercial experience building and deploying machine learning systems.
- Strong understanding of machine learning fundamentals, including supervised learning, optimization, and statistics.
- Excellent Python software engineering skills with a focus on clean, maintainable, and testable code.
- Extensive experience developing deep learning models using PyTorch.
- Proven ability to independently lead technical initiatives from concept to production.
What we offer
- Direct collaboration with company founders using bleeding-edge technology.
- Opportunity to shape the technical direction of our AI platform.
- Exciting technical challenges with real ownership and impact.
- Fully remote work model.
- Fitness and health membership benefits.