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Weekend Machine Vision Engineer Jobs in Springfield, TN

J.D. Irving

Machine Operator/Laborer

Nashville, TN

Vision Insurance * Life and Disability Insurances * Reimbursement Accounts * Annual Uniform Credit ... Must be willing to do shift work and weekends * General labor work within the sawmill, including ...

J.D. Irving

Weekend Loader Operator

Nashville, TN

$16.25 - $21.50/hr

Vision Insurance * Life and Disability Insurances * Reimbursement Accounts * Annual Uniform Credit ... General work within the sawmill and operations of machinery in a clean, high-tech environment * Be ...

Elevance Health

Gen AI Engineer

Nashville, TN · Hybrid

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning ... vision solutions. * Demonstrated 4+ years hands-on experience with Python, SQL, Hugging Face ...

Cliftonlarsonallen

Lead ML Ops Engineer

Nashville, TN · On-site

$99K - $130K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the endtoend machinelearning strategy and execution, sets vision for MLOps, and ensures alignment with business goals. How ...

Elevance Health

Gen AI Engineer

Nashville, TN · Hybrid

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning ... vision solutions. * Demonstrated 4+ years hands-on experience with Python, SQL, Hugging Face ...

Esperta Health

Analytics Engineer

Nashville, TN · Remote

... analytics and machine learning use cases. Ad-hoc analysis and reporting will remain a core ... Vision) Retirement Plan (401k) Life Insurance Paid Time Off Short Term & Long Term Disability ...

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All JobsWeekend Machine Vision Engineer JobsWeekend Machine Vision Engineer Jobs in Springfield, TN

Weekend Machine Vision Engineer information

See Springfield, TN salary details

$29.7K

$121.6K

$182.7K

How much do weekend machine vision engineer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for weekend machine vision engineer in Springfield, TN is $121,608.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,900.00 and $146,400.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Machine Vision Engineer vs Weekend Robotics Technician?

AspectWeekend Machine Vision EngineerWeekend Robotics Technician
Required CredentialsBachelor's in Engineering, Computer Science, or related field; knowledge of image processing and programmingAssociate's or Bachelor's in Robotics, Electronics, or related field; hands-on technical skills
Work EnvironmentTech labs, manufacturing facilities, or research centers focusing on vision systemsManufacturing floors, maintenance workshops, or field service settings
Industry UsageManufacturing, automation, quality controlManufacturing, assembly lines, equipment maintenance

The Weekend Machine Vision Engineer primarily focuses on developing and implementing vision systems for automation and quality control, requiring programming and image processing skills. In contrast, the Weekend Robotics Technician handles maintenance and troubleshooting of robotic systems, emphasizing hands-on technical skills. Both roles are essential in manufacturing environments but differ in their focus and daily tasks.

What are the key skills and qualifications needed to thrive as a Weekend Machine Vision Engineer, and why are they important?

To excel as a Weekend Machine Vision Engineer, you typically need a background in computer vision, image processing, and a degree in engineering, computer science, or a related field. Familiarity with programming languages like Python or C++, experience with machine vision libraries (such as OpenCV or Halcon), and knowledge of industrial camera systems are commonly required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for this role. These competencies ensure the development and maintenance of reliable vision systems that support high-quality automation and manufacturing processes during critical weekend operations.

What does a Weekend Machine Vision Engineer do?

A Weekend Machine Vision Engineer is responsible for developing, testing, and maintaining computer vision systems that enable machines to interpret and process visual data. This role typically involves working weekends to support production lines or R&D projects that need ongoing monitoring and updates outside of standard business hours. Key tasks include programming vision algorithms, integrating cameras and sensors, troubleshooting system issues, and collaborating with other engineers to improve automation and quality control processes. Weekend Machine Vision Engineers are commonly found in manufacturing, robotics, and quality assurance environments that require continuous technical support.

What are some common challenges faced by a Weekend Machine Vision Engineer, and how can they be addressed?

As a Weekend Machine Vision Engineer, you may encounter challenges such as troubleshooting unexpected equipment malfunctions, adapting to rapidly changing production needs, and working with limited on-site support compared to weekday shifts. To address these, it's important to develop strong problem-solving skills, stay up-to-date with the latest software and hardware updates, and maintain clear documentation for seamless communication with weekday teams. Proactively coordinating with colleagues during shift handovers and leveraging remote support resources can also help ensure smooth operations and minimize downtime.
What cities near Springfield, TN are hiring for Weekend Machine Vision Engineer jobs? Cities near Springfield, TN with the most Weekend Machine Vision Engineer job openings:
Weekend Machine Vision Engineer jobs near you
Software Development Engineer, WHS Data-Tech

Software Development Engineer, WHS Data-Tech

Amazon

Nashville, TN

$110K - $132K/yr

Full-time

Posted 14 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,923 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

We're looking for a Software Development Engineer to help build the AI and computer vision systems that keep Amazon's workforce safe. This is a chance to work at the intersection of advanced machine learning and real-world impact, writing code that helps reduce workplace injuries for over 1.5 million people.
You'll join a team of engineers and applied scientists developing computer vision applications, real-time inference systems, and cloud-native services that detect and prevent safety risks across Amazon's global operations. You'll design and build production software end-to-end, from ingesting and processing video and sensor data, to deploying ML models at the edge, to surfacing actionable insights through internal tools and APIs

If you're excited about building systems that combine deep learning, distributed computing, and IoT, and you want to see your code make a tangible difference in people's lives, this is the role for you.
Key job responsibilities
- Design, develop, and maintain production services that power computer vision and AI-based safety applications, built on AWS
- Build and optimize data ingestion pipelines for video, image, and sensor data from edge devices deployed across Amazon facilities
- Develop APIs and backend services that integrate ML model outputs with internal safety tools and dashboards
- Collaborate with applied scientists to productionize machine learning models - handling model serving, inference optimization, and deployment workflows
- Write clean, well-tested, and maintainable code while contributing to code reviews, design documents, and architectural decisions
- Operate and maintain services in production, including monitoring, alarming, troubleshooting, and incident response
- Identify opportunities to improve system performance, scalability, and reliability as the platform scales to new sites and use cases
About the team
Amazon's Workplace Health & Safety (WHS) organization is responsible for keeping over 1.5 million employees safe across our global retail operations. Within WHS, our technology team builds the science and engineering capabilities that power Amazon's safety strategy at scale.
We're a cross-functional group of software engineers, applied scientists, data engineers, and technical program managers developing computer vision systems, generative AI applications, sensor and IoT solutions, and analytics platforms - all aimed at reducing workplace safety incidents. You'll work closely with applied scientists and ML engineers to take models from research to production, and collaborate with TPMs and product managers to deliver solutions that safety professionals rely on every day

Our culture values technical ownership, curiosity, and shipping systems that create measurable real-world impact.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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