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Machine Vision Software Engineer Jobs in Star, ID

... software that moves data through models to make automated decisions. You will achieve success ... vision. * Collaborate with the product team, architects, and others to document features and ...

... software that moves data through models to make automated decisions. You will achieve success ... vision. * Collaborate with the product team, architects, and others to document features and ...

Comscore, Total Visits, March 2025) Day to Day As a Software Engineer IV (ML) on the Machine ... medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our ...

Our vision is to transform how the world uses information to enrich life for all. Micron Technology ... Collaborate with other software engineers, product managers, and stakeholders to design and ...

Software Engineer (.NET / C#)

Boise, ID · On-site

$100K - $150K/yr

Software Engineer (.NET / C#) Department: Product Employment Type: Permanent Location: Boise, Idaho ... We offer health, dental, and vision insurance to all full-time employees. Best part? You'll be ...

The Associate Software Engineer is an early-career engineering role responsible for contributing to ... Dental, Vision, Short- and Long-Term Disability, and Group Life Insurance that we also pay 100% of ...

Our vision is to transform how the world uses information to enrich life for all . Micron ... Collaborate with other software engineers, product managers, and stakeholders to design and ...

Software Engineer

Nampa, ID · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Software Engineer

Boise, ID · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Software Engineer

Meridian, ID · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Our vision is to transform how the world uses information to enrich life for all. Micron Technology ... OR employer will accept 7 years of work experience in job offered or in an engineer-related ...

Our vision is to transform how the world uses information to enrich life for all . Micron ... OR employer will accept 7 years of work experience in job offered or in an engineer-related ...

Systems Software Engineer II

Boise, ID · On-site

$164K - $195K/yr

Performs as a lead Systems Software Engineer in the development of lower and mid-level control ... Shows a knack for using emotion and logic to communicate a persuasive vision and connect with ...

Systems Software Engineer II

Boise, ID · On-site

$164K - $195K/yr

Performs as a lead Systems Software Engineer in the development of lower and mid-level control ... Shows a knack for using emotion and logic to communicate a persuasive vision and connect with ...

Principal Machine Learning Engineer

Boise, ID · On-site

$128K - $172K/yr

Our vision is to transform how the world uses information to enrich life for all. Micron Technology ... software tools. * Profile and debug GPU performance bottlenecks using tools like Nsight Systems or ...

Principal Machine Learning Engineer

Boise, ID · On-site

$128K - $172K/yr

Our vision is to transform how the world uses information to enrich life for all . Micron ... software tools. * Profile and debug GPU performance bottlenecks using tools like Nsight Systems or ...

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Machine Vision Software Engineer information

See Star, ID salary details

$59.8K

$138.8K

$193.4K

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

As of Jun 9, 2026, the average yearly pay for machine vision software engineer in Star, ID is $138,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,900.00 and $162,800.00 per year, depending on experience, location, and employer.

What does a Machine Vision Software Engineer do?

A Machine Vision Software Engineer designs, develops, and maintains software systems that enable computers to interpret and process visual information from the real world. They work with cameras, sensors, and advanced algorithms to automate tasks such as inspection, identification, measurement, and guidance in industrial and robotics applications. Their responsibilities often include integrating hardware with software, optimizing image processing algorithms, and ensuring the accuracy and reliability of vision systems. These engineers play a crucial role in industries like manufacturing, automotive, healthcare, and logistics where automated visual inspection and analysis are essential.

What are some of the main challenges Machine Vision Software Engineers face when integrating vision systems into manufacturing environments?

Machine Vision Software Engineers often encounter challenges such as ensuring reliable image capture despite varying lighting conditions and accommodating different types of defects or product variations. Integrating vision systems with existing automation hardware and production lines can require close collaboration with mechanical, electrical, and process engineers. Additionally, optimizing algorithms for real-time performance while maintaining high accuracy is a frequent necessity. Continuous testing and iterative development are key to addressing these challenges and delivering robust solutions in dynamic manufacturing settings.

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

To thrive as a Machine Vision Software Engineer, you need a solid background in computer science, image processing, and mathematics, usually backed by a relevant degree. Familiarity with programming languages such as Python or C++, machine vision libraries like OpenCV, and experience with deep learning frameworks are typically required. Strong problem-solving, attention to detail, and effective communication skills help engineers design robust solutions and collaborate with multidisciplinary teams. These competencies are crucial for developing accurate, efficient vision systems that meet real-world automation and quality control demands.

What is the difference between Machine Vision Software Engineer vs Computer Vision Engineer?

AspectMachine Vision Software EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in CS, EE, or related; experience with image processingBachelor's or Master's in CS, EE, or related; strong programming skills in Python, C++
Work EnvironmentManufacturing, robotics, quality inspectionAutonomous vehicles, AI research, multimedia applications
Industry UsageManufacturing, industrial automation, roboticsTech, automotive, research institutions
Search & Comparison IntentFocus on industrial and automation applicationsFocus on AI, perception, and multimedia systems

While both roles involve image analysis and programming skills, Machine Vision Software Engineers primarily work on industrial automation and manufacturing systems, whereas Computer Vision Engineers focus on AI-driven perception in autonomous vehicles, robotics, and multimedia applications. The roles overlap in skills but differ in application environments and industry focus.

What cities near Star, ID are hiring for Machine Vision Software Engineer jobs? Cities near Star, ID with the most Machine Vision Software Engineer job openings:
Machine Learning Engineer

Machine Learning Engineer

Equifax, Inc.

Boise, ID • On-site

Full-time

Medical, Retirement, PTO

Posted 8 days ago


Equifax rating

7.8

Company rating: 7.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
As a Machine Learning Engineer in the Identity and Fraud business at Equifax, you will solve challenging technology problems and build architecturally sound, high-quality software that moves data through models to make automated decisions. You will achieve success through communicating, collaborating, and developing creative and performant solutions to help Equifax provide certainty in every digital transaction for our customers. You should be a creative, driven, motivated engineer that can think outside the box, has the ability to learn quickly, and can deliver high-quality working solutions that are both maintainable and scalable. You will work with data scientists to develop requirements for novel algorithms, and with operations and other developers to bring data transformation pipelines and machine learning models to practice.
What you'll do
  • Design platforms and pipelines for researching, developing, and running machine learning models
  • Productionize machine learning models by building performant data transformations, storage, and pipelines
  • Develop and maintain microservices that serve data, model features, and scores to other internal services, as well as external customers
  • Demonstrate effective, respectful, and honest communication when collaborating with colleagues including a cross-functional team consisting of Data Science, Operations, and Engineering
  • Apply development and testing best practices (including unit, service, and integration tests) and demonstrate excellent software craftsmanship to produce maintainable, scalable, and quality solutions.
  • Contribute to all phases of product development and delivery from Analysis & Design all the way through to successful Deployment.
  • Deliver on company initiatives and projects prioritized for your team and support long term technical vision.
  • Collaborate with the product team, architects, and others to document features and changes.
  • Identify gaps and iterative improvements to legacy model platforms, frameworks, or governance stacks
  • Adhere to and influence best practices (i.e. security, architecture, platform, etc.)
  • Participate in peer design and code reviews
  • Participate in on-call rotation with other engineers
What experience you need
  • BS in Computer Science, Engineering, or equivalent experience.
  • 3+ years of strong software engineering and software architecture background using languages such as Golang, Python, and SQL.
  • 3+ years of experience building RESTful APIs and/or gRPC within a distributed microservice architecture.
  • 2+ years of experience implementing Amazon Web Services (e.g., IAM, Lambda, EKS, Neptune, DynamoDB, RDS).
  • 2+ years of experience using IaC tooling such as Terraform
  • Experience working with machine learning frameworks such as SparkMLlib, Scikit-Learn, MLflow, or TensorFlow.
  • Experience serving ML model inference at scale in low-latency (<30ms) environments.
  • Experience with metrics, logging, and evaluating model performance (e.g., DataDog, evaluation latency, and ROC curves).
What could set you apart
  • Experience with Snowflake
  • Experience with AWS EMR
  • Experience deploying diverse model architectures into production using portable formats like ONNX or MLeap.

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-ID-Boise
Function:
Function - Tech Dev and Client Services
Schedule:
Full time

What Equifax employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

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