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Matrix Design Group LLC

engineering opportunity

Senior Computer Vision Engineer

Develop robust vision-based AI algorithms and implement CI/CD pipelines for models and data. Collaborate with cross-functional teams to design safe computer vision solutions and mentor junior engineers.

Newburgh, Indiana, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Matrix Design Group LLC?

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 works in a team environment at our office in Newburgh, IN. This is not a remote position.

This position reports to the Manager of Software Systems.

Duties and Responsibilities

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 TensorFlow, 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

Qualifications

  • & Competencies
  • 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 TensorFlow or PyTorch
  • 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
  • Working Conditions
  • 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.
  • Physical Requirements
  • The employee is occasionally required to stand, walk and stoop, or crouch. The employee may need to lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Benefits

First day coverage of all benefits - no waiting period

Premium free medical, dental and vision insurance – working spouse must take single major medical at their place of employment if offered

On-site health clinic

Basic Life (2x annual base salary at no cost)

Optional Life and Accidental Death and Dismemberment (AD&D) insurance

Short-Term and Long-Term Disability insurance (no cost)

401(k) Plan with up to an 8% company match

FSA for Health Care and Dependent Care

10 Paid annual holidays plus vacation time

Educational Reimbursement Program

Scholarship Program

Optional Gym Membership

ESports Room

#LI-Onsite

Which skills does this role require?

Computer VisionC++C#MLOpsArtificial IntelligenceMachine LearningONNX

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