Mid-Level Computer Vision Engineer

? 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

? You love a good challenge and learning new things.

? You're able to own a core part of the product and juggle the different requirements that

come along with it.

? You are comfortable moving around a technology stack to understand how different

features work and contribute to different parts of the platform.

? An entrepreneurial spirit and eagerness to try new things and be innovative.

? A bias for action, a roll-up your sleeves attitude, and a deep sense of personal

ownership., ? 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

We're building a strong, diverse team that values hard work and personal well-being. Benefits of

? Competitive compensation and benefits

? Free coffee, juice, and snacks at our CIC office in Cambridge

? Flexible work schedule

? Sponsored company events and happy hours

We are an equal-opportunity employer. At Tristar AI, we celebrate all. Qualified applicants will, $140,000 - $150,000 + equity

At Tristar AI, we are transforming manufacturing by bringing cutting-edge computer vision tools to the factory floor. Our focus is on empowering frontline operators and managers whether the customer is a family-run plastics factory or a global automotive titan. Born out of research at MIT and Harvard, we are headquartered in Cambridge, MA, serving customers across North America. Founded in 2021, we are backed by world-class investors and partners, including some of the earliest investors in Cruise, Ring, Dropbox, and more. This is an incredible opportunity to join on the ground level of a rapidly growing startup. The features you build here will be used every day by leading manufacturers. You'll have the opportunity to work in a fast-paced environment and shape the future of the company and its technology. You will report to Tristar AI's Head of Engineering. This is a hybrid role based out of our Kendall Square office in Cambridge, MA