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?
Make your next move
Build a shortlist and prepare
Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.
- Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
- Machine learning jobsCompare current openings and review what to look for in this role.
- Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.
Other roles to compare
Review the responsibilities and requirements before adding an opening to your shortlist.
Senior Context Fusion AI Engineer - Autonomous Vehicles
NVIDIA · Redmond, Nevada, United States
AI Engineer 5 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning)
Capital One · San Jose, California, United States
AI Engineer 5
Capital One · San Jose, California, United States
Gen AI Engineer -Dallas, TX
Photon · Dallas, Texas, United States
Senior Applied AI Engineer
QuEra Computing Inc. · Boston, Massachusetts, United States
Automation & AI Engineer
ECS Tech Inc · Fairfax, Virginia, United States
Role information can change. Confirm current details on the original application page.
