Join Our Team
Build the future of edge AI and real-time computer vision. Work on cutting-edge technology that makes a real impact in industrial safety and operations.
ML Engineer
Full-timeWe're looking for an experienced Machine Learning Engineer to join our team and help build state-of-the-art computer vision models for edge deployment. You'll work on optimizing models for real-time inference, developing custom architectures, and pushing the boundaries of what's possible with edge AI.
Requirements
- Strong background in deep learning and computer vision
- Experience with model optimization (quantization, pruning, distillation)
- Proficiency in Python, PyTorch, and TensorFlow
- Experience deploying ML models to production environments
- Knowledge of edge computing constraints and optimization techniques
- Strong problem-solving skills and attention to detail
What We Offer
- Competitive salary and equity package
- Flexible working arrangements
- Opportunity to work on cutting-edge technology
- Collaborative and innovative work environment
Data Scientist
Full-timeJoin our data science team to extract insights from industrial operations data and improve our AI systems. You'll work on analyzing performance metrics, developing predictive models, and helping our clients understand the value delivered by our edge AI solutions.
Requirements
- Advanced degree in Statistics, Mathematics, Computer Science, or related field
- Strong experience with statistical analysis and machine learning
- Proficiency in Python, R, and data analysis libraries (pandas, numpy, scikit-learn)
- Experience with time series analysis and predictive modeling
- Ability to communicate complex findings to technical and non-technical audiences
- Experience with industrial or IoT data is a plus
What We Offer
- Competitive salary and equity package
- Flexible working arrangements
- Access to unique industrial datasets
- Opportunity to make a real impact on safety and operations
System Architect
Full-timeWe need a talented System Architect to design and implement robust, scalable edge computing systems. You'll be responsible for architecting solutions that handle real-time video processing, edge-cloud synchronization, and ensuring reliability in challenging industrial environments.
Requirements
- Strong background in distributed systems and edge computing
- Experience designing high-availability, low-latency systems
- Proficiency in system design, microservices, and cloud architectures
- Knowledge of video streaming, real-time data processing, and IoT systems
- Experience with containerization (Docker, Kubernetes) and infrastructure as code
- Strong understanding of networking, security, and reliability patterns
What We Offer
- Competitive salary and equity package
- Flexible working arrangements
- Lead architecture decisions for cutting-edge systems
- Work with a talented team of engineers
Why Work With Us
Cutting-Edge Technology
Work on the latest edge AI and computer vision technologies that are transforming industrial operations.
Impactful Work
Your work directly improves safety and efficiency in critical industrial operations, making a real difference.
Growth Opportunities
Join a fast-growing company with opportunities to take on significant responsibility and grow your career.