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Machine Learning Object Detection Jobs in Dutton, VA

Shipping Coordinator

Toano, VA · On-site

$16.25 - $20.75/hr

Maintains a focus for self and team on continuous learning that will enhance skill sets and growth ... Raising or lowering an object from one level to another (includes upward pulling) * Good eye-hand ...

Maintains a focus for self and team on continuous learning that will enhance skill sets and growth ... Raising or lowering an object from one level to another (includes upward pulling) * Exposure to ...

Maintains a focus on continuous learning and development for self and team. * Demonstrates a ... Raising or lowering an object from one level to another (includes upward pulling) * Good eye-hand ...

... object damage (FOD) prevention and emergency readiness; assist with emergency response and training ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... object damage (FOD) prevention and emergency readiness; assist with emergency response and training ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... object damage (FOD) prevention and emergency readiness; assist with emergency response and training ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... object damage (FOD) prevention and emergency readiness; assist with emergency response and training ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

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Machine Learning Object Detection information

See Dutton, VA salary details

$28K

$114.6K

$172.2K

How much do machine learning object detection jobs pay per year?

As of Jun 23, 2026, the average yearly pay for machine learning object detection in Dutton, VA is $114,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,300.00 and $137,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Object Detection Engineer, and why are they important?

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.
What cities near Dutton, VA are hiring for Machine Learning Object Detection jobs? Cities near Dutton, VA with the most Machine Learning Object Detection job openings:
Order Management Coordinator

Order Management Coordinator

C & F Enterprises

Toano, VA • On-site

Full-time

Posted 16 days ago


Job description

At C&F Enterprises Inc. we strive to learn, improve, and serve every day. From our customers to our employees, we have been a business partner of choice in our community for over 40 years. Representing many different brands, we are proud to offer home decor that can showcase your personal style in every room of your home. At C&F Enterprises Inc. We are looking for individuals who enjoy a team-oriented environment, can demonstrate individual resourcefulness with an entrepreneurial spirit - the foundation of our success! We hope you will decide to join our family of dedicated employees.

Job Purpose

The Order Management Coordinator supports both warehouse operations and logistics administration by planning and releasing order waves and coordinating shipping activities. This role is responsible for daily review, planning and release of customer orders to ensure efficient workflows and on-time fulfillment. Oversees system-wide visibility, batch releases, and coordination with replenishment teams to maintain continuous operations. The position promotes the company’s core values, fosters strong internal and external relationships, and assists with daily operational and administrative tasks to meet business and customer demands.

Duties & Responsibilities

  • Plans, organizes, and releases order waves based on priority, shipping deadlines, and product availability.
  • Assigns and monitors wave times, staging locations, and pick assignments to maintain balanced workflow across warehouse teams.
  • Review and analyzes daily order volume within the system to prioritize workflow and ensure timely processing.
  • Coordinate with the replenishment team to ensure productivity aligns with wave releases.
  • Maintain a comprehensive overview of open, pending, and released orders to prevent bottlenecks.
  • Monitors wave progress, identifies bottlenecks, and makes real-time workflow adjustments to maintain productivity.
  • Communicates daily workload priorities with warehouse supervisors, logistics teams, and inventory control.
  • Assists Sales team with order priorities and managing cancel dates for orders.
  • Uses Warehouse Management Systems (WMS) and other software to manage waves and process documentation.
  • Addresses allocation error and order-related discrepancies.
  • Escalates workflow issues promptly to minimize operational disruption.
  • Supports a safe and organized work environment and follows all safety practices.
  • Maintains a focus on continuous learning and development for self and team.
  • Demonstrates a commitment to C&F Enterprises, Inc. core values.
  • The position responsibilities outlined above are in no way to be construed as all encompassing.
  • Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

Competencies

  • Positive Energy Level
  • Customer Service
  • Organizational Skills
  • Team Player
  • Independence

Qualifications

  • A high school diploma and/or equivalent experience
  • Must have the ability to complete work assignments, which on occasion, extend past 5pm
  • Computer skills desired for operating warehouse management system (WMS)
  • 1-2 years of warehouse experience, preferred
  • Must be able to interpret shipping information
  • Must have the ability to meet warehouse deadlines

Physical requirements

  • Sitting, Standing, Walking
  • Lifting: Raising or lowering an object from one level to another (includes upward pulling)
  • Good eye-hand coordination and sense of balance
  • Exposure to varied temperatures within warehouse environment
  • Work inside and outside; work around machinery with moving parts and vehicles
  • Carrying, pushing, pulling boxes and items; up to 75-100 lbs, at times.


All applicants are required to successfully complete a background check and drug screening as part of the pre-employment process. Applicants must be authorized to work in the United States at the time of application and must not require sponsorship now or in the future.

C&F Enterprises, Inc. is an equal opportunity employer. We are committed to recruiting, hiring, and promoting qualified applicants without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, marital status, veteran status, or any other characteristic protected by applicable federal, state, or local law. If you are an individual with a disability and require a reasonable accommodation during the recruitment process, please contact hr@cnfei.com.

*No Recruiters/Agencies Please*

**No Relocation assistance provided**