Senior Computer Vision Engineer

Matrix designs, manufactures, and sells innovative technological products that help keep people safe. Originally focused on the underground coal mining industry, Matrix has expanded into new industrial markets in the United States and globally.

We are currently seeking a Senior Computer Vision Engineer. The Senior Computer Vision Engineer will work closely with software engineers, as well as project and product managers, to develop robust vision‑based artificial intelligence algorithms. In this role, the engineer's enthusiasm and expertise in computer vision engineering will be directed toward designing safe and effective computer vision solutions. This position is based in a collaborative, team‑oriented environment at the company's main office in Newburgh, IN, and is not open to remote work arrangements.

This position reports to the Manager of Software Systems.

• Prepare customer‑facing presentations for custom model deployments
• Implement CI/CD pipelines for models, data, and source code
• Work with product and project managers to ensure that projects proceed on time and on budget
• Work with other engineers to develop a working understanding of how the AI is developing
• Document process steps to ensure reasonable human oversight
• Work with other engineers to monitor changes in development and implement transfer learning and knowledge distillation between iterative machine learning models
• Mentor junior engineers and interns
• Participate in code reviews and sprint planning
• Understand and apply best practices for object detection modeling
• Understand and apply Tensor Flow, PyTorch, and ONNX core concepts
• Understand and apply hardware accelerator compilation and execution
• Understand and apply Jupyter Notebooks/Google Colab concepts
• Understand and apply source control best practices for machine learning, ETL, and data annotation pipelines

Employment Eligibility & Verification

All applicants must be able to provide proof of eligibility to work in the United States. Employment is contingent upon the successful completion of the I‑9 form, as required by federal law. Additionally, candidates will be required to undergo an employment verification process before beginning work. Please note that we do not offer sponsorship for work authorization (e.g., H‑1B, TN, or other visas) at this time.

Education:

Bachelor’s degree in a related field, such as computer science, software engineering or data science, is recommended. Master’s degree in Artificial Intelligence a plus.

• 7+ years of experience in the ML space
• An expert‑level understanding of Python with a focus on ML framework such as Tensor Flow or Py Torch
• Proficient with state‑of‑the‑art object detection algorithms such as YOLO, DETR, and DINO
• Experience with containerization technologies such as Docker, Kubernetes, etc.
• Experience developing software using one or more of the following languages (C/C++, C#, Python)
• Experience with Linux and/or Windows OS
• Experience with model, container, and package registries
• Experience with ML tools such as DVC, MLFlow, Lake FS, Label Studio, Azure ML, Azure AI Foundry
• Experience with SQL databases, vector embeddings, and vector databases such as Milvus, pgvector, Pinecone, Chroma, etc.
• Experience with multimodal models such as CLIP, GPT‑4V, Llama
• Experience with classical CV algorithms such as Canny Edge Detector, SIFT, RANSAC, Optical Flow, SLAM, etc.
• Strong understanding of source control concepts and CI/CD pipelines
• Must have strong communication, computer, documentation, presentation, and interpersonal skills

• Daily Job duties will consist of office, lab, and desk work with occasional field testing required.
• Candidate may be required to work underground, but on an infrequent basis.
• While performing the duties of this job, the employee is regularly exposed to work near large moving machinery.
• Customer operations may contain airborne particles and allergens.
• Matrix employees are furnished and required to wear safety gear such as hard hats, steel toe shoes, reflective clothing, earplugs, and safety glasses.
• Occasional travel and ability to work various shifts as required by customer.