Mid-Level Computer Vision Engineer

Tristar AI, Inc.; Cambridge (MA); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Company equity

Competitive compensation

Flexible work schedule

Free coffee and snacks

Sponsored events

Job summary

Tristar AI, Inc. is seeking a Mid-Level Computer Vision Engineer to develop and implement cutting-edge computer vision models. In this hybrid role, you'll work on enhancing manufacturing processes and bring your expertise to innovative projects.

The ideal candidate has a strong background in machine learning and computer vision, with at least 2 years of experience. Join a dynamic startup in Cambridge, MA, and enjoy a flexible work schedule along with company equity and competitive benefits.

Qualifications

• MS/PhD degree in Machine Learning, Computer Science, Software Engineering, or Data Science preferred.
• 2+ years experience in computer vision and machine learning.
• Knowledge of machine-learning libraries such as PyTorch, TensorFlow, and OpenCV essential.

Responsibilities

• Develop and implement machine-learning models for computer-vision applications.
• Conduct experiments to enhance accuracy and efficiency of systems.
• Train and optimize machine-learning models for manufacturing tasks.

Skills

Computer vision software development

Machine learning algorithms

PyTorch

TensorFlow

Keras

OpenCV

Image processing

Education

MS/PhD in Machine Learning or related fields

Tools

Git

Job description

Mid-Level Computer Vision Engineer

Location: Hybrid - Cambridge, MA (On‑Site 3 Days Weekly).

Type: Full‑Time.

Department: Machine Learning.

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 will report to Tristar AI's Head of Engineering. This is a hybrid role based out of our Kendall Square office in Cambridge, MA.

About You

• 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.

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.