Responsibilities

• Develop and implement machine learning models and algorithms for computer vision applications in manufacturing.
• Conduct research, experimentation, and prototyping to enhance the accuracy and efficiency of computer vision systems.
• Train, fine-tune, and optimize machine learning models to handle a variety of manufacturing tasks, such as quality control, defect detection, object recognition, and process optimization.
• Create robust, scalable, and production-ready code for deployment of machine learning models on manufacturing lines.
• Keep up-to-date with the latest advancements in machine learning and computer vision technologies and bring innovative ideas to the team.
• Collaborate with customers to understand their unique manufacturing challenges and tailor solutions to meet their specific needs.

Qualifications

• MS/PhD degree in Machine Learning, Computer Science, Software Engineering, Data Science or related fields preferred (open to BS with relevant professional and/or academic experience)
Experience developing computer vision software for manufacturing environments is a big PLUS
• 2+ years experience working in computer vision and machine learning
• Knowledge of machine learning and computer vision libraries such as PyTorch, YOLO, TensorFlow, Keras, scikit-learn, OpenCV, PIL, is essential.
• Proficiency in unsupervised, and semi-supervised learning techniques
• Proficiency with autoencoder is a good plus to have
• Proven research or practical experience in developing algorithms for image processing, content-based video/image analysis, object detection, segmentation and tracking
• Familiar with version control systems such as Git
• Strong optimization and debugging skills
• Experience using traditional computer vision techniques

Working at Tristar AI

We’re building a strong diverse team that values hard work and personal well-being. Benefits of working with us include:

Direct impact on product and culture.
Company equity
Competitive compensation and benefits
Free coffee, juice, and snacks at our CIC office in Cambridge.
Flexible work schedule
Sponsored company events and happy hours.