About the Role
The role involves designing and implementing computer vision and machine learning solutions to enhance optical product performance, working closely with engineering and research teams to translate prototypes into production-ready software.
Responsibilities
- Design and develop computer vision algorithms for optical measurement and analysis
- Implement machine learning models to improve system accuracy and automation
- Collaborate with software and hardware teams to integrate AI features
- Optimize algorithms for real-time performance on embedded platforms
- Conduct experiments to validate model performance under varying conditions
- Analyze imaging data to refine algorithmic approaches
- Maintain documentation for developed systems and processes
- Stay current with advancements in computer vision and AI research
- Support product testing and troubleshooting in lab and field environments
- Translate research concepts into scalable software solutions
Nice to Have
- Master’s or PhD in a relevant technical discipline
- Experience with optical systems or imaging hardware
- Background in medical devices or ophthalmic technologies
- Publication record in computer vision or AI conferences or journals
- Experience with model optimization and quantization techniques
- Familiarity with regulatory requirements for software in medical applications
- Knowledge of agile development methodologies
- Experience with CI/CD pipelines for machine learning systems
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model with flexibility for remote and on-site work
Team
Collaborative team environment focused on innovation in optical technologies
Why Join Us
- Opportunity to work on cutting-edge optical technologies with real-world applications
- Supportive environment that encourages professional growth and innovation
- Engagement in meaningful projects that improve user outcomes
What We Offer
- Comprehensive health and wellness benefits
- Retirement savings plan with employer contribution
- Professional development and training opportunities
- Flexible work hours and remote work options
Visa sponsorship may be available for qualified candidates
