Sr. Computer Vision Engineer
Shinkei Systems
Software Engineering
El Segundo, CA, USA
Posted on Mar 7, 2025
Senior Computer Vision Engineer
The Role
We are looking for a Senior Computer Vision Engineer to design, implement, and scale critical machine learning components and services for our fish processing system. You will be responsible for streamlining our machine learning pipeline, data management and collection efforts, improving models in the field, and expanding our reach to new fish species and robots.
Key Responsibilities
The Role
We are looking for a Senior Computer Vision Engineer to design, implement, and scale critical machine learning components and services for our fish processing system. You will be responsible for streamlining our machine learning pipeline, data management and collection efforts, improving models in the field, and expanding our reach to new fish species and robots.
Key Responsibilities
- Optimize data collection, labeling, processing, and evaluation for our fish detection models, helping to improve accuracy and performance.
- Combine strong software engineering principles with machine learning to build robust end-to-end machine learning workflows
- Work closely with cross-functional teams across the company to understand their needs, weigh trade-offs, and achieve measurable results
- Advocate for best practices in scalability, operational efficiency, cost management, and system reliability
- Provide technical leadership and guidance that shapes the future of Shinkei
- Has a passion for maintaining well-organized ML models and ensuring data collection is structured and reproducible.
- Thrives in a collaborative environment and enjoys working with cross-functional teams.
- Can break down complex technical concepts and communicate them clearly to different audiences.
- Loves learning new technologies and applying them to solve real-world challenges.
- Bachelor’s degree in CS, SE, EE, Robotics, or a related Field
- 4+ years of industry software engineering experience working on ML/CV related problems
- Experience deploying CV models in production environments
- Advanced degree in computer science or related field
- Experience in MLOps in building, deploying, and maintaining models
- Experience in managing teams of labelers
- Has strong opinions on labeling, deployment, and evaluation platforms
- Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, or related frameworks
- Competitive salary and benefits package.
- Stock options in an early stage company.
- Hands-on experience with cutting-edge technology in the fishing industry.
- A collaborative and dynamic work environment with opportunities for growth and advancement.
- The chance to make a significant impact on the future of seafood.