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Machine Vision Engineer Jobs in Austin, TX (NOW HIRING)

Neuralink

Machine Learning Engineer

Austin, TX

About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... vision to those affected by blindness. * Utilize your fundamental understanding of neural networks ...

INSPYR Solutions

Automation Engineer

Georgetown, TX · On-site

$130K/yr

... machine vision, or related technologies * Familiarity with AGVs (Automated Guided Vehicles), ASRS ... Programming experience with Python, C#, Ladder Logic, or similar automation technologies * Strong ...

Indeed

Machine Learning Engineer III

Austin, TX

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a ... medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our ...

Indeed

Machine Learning Engineer

Austin, TX

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our ...

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... Excellent medical, dental, and vision insurance through a PPO plan * Paid holidays * Commuter ...

Avride

Senior / Staff Machine Learning Engineer

Austin, TX

$124K - $171K/yr

Senior / Staff Machine Learning Engineer Austin, TX About the Team Avride develops autonomous ... At Staff and Principal levels, you will set the technical vision for entire model families and ...

Actalent

Machine Safety Engineer

Austin, TX

$50 - $64/hr

Safety Engineer We are seeking a hands-on Safety Engineer to evaluate and improve safety across ... vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth ...

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All JobsMachine Vision Engineer JobsMachine Vision Engineer Jobs in Austin, TX

Machine Vision Engineer information

See Austin, TX salary details

$31.2K

$127.6K

$191.8K

How much do machine vision engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for machine vision engineer in Austin, TX is $127,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $153,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Vision Engineer position, and why are they important?

To thrive as a Machine Vision Engineer, you need a solid background in computer vision, image processing, programming (often Python or C++), and a degree in engineering or computer science. Experience with machine vision libraries (such as OpenCV or HALCON), familiarity with industrial cameras and lighting, and certifications in automation or robotics are commonly required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies are essential for developing, testing, and deploying reliable vision systems that meet industrial automation needs.

What is a Machine Vision Engineer job?

A Machine Vision Engineer designs, develops, and implements computer vision systems that enable machines to analyze and interpret visual data. They work with imaging hardware, software, and algorithms to automate inspection, quality control, and object recognition tasks in industries like manufacturing, robotics, and healthcare. Their role involves optimizing image processing techniques, integrating vision systems with automation, and improving performance using AI and machine learning.

What are typical projects or daily tasks for a Machine Vision Engineer?

Machine Vision Engineers are often involved in designing, implementing, and optimizing vision systems used for automated inspection, quality control, or object identification in manufacturing environments. On a day-to-day basis, you might work on algorithm development, integrating hardware components like cameras and lighting, troubleshooting vision setups, and collaborating with multidisciplinary teams such as mechanical engineers or production managers. Regular tasks include testing new solutions on production lines, refining vision algorithms for accuracy, and documenting system performance. Being adaptable and able to communicate clearly with both technical and non-technical colleagues is important for success in this dynamic and fast-evolving field.

What are the most commonly searched types of Machine Vision Engineer jobs in Austin, TX? The most popular types of Machine Vision Engineer jobs in Austin, TX are:
What are popular job titles related to Machine Vision Engineer jobs in Austin, TX? For Machine Vision Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Machine Vision Engineer jobs in Austin, TX look for? The top searched job categories for Machine Vision Engineer jobs in Austin, TX are:
Machine Vision Engineer jobs near you
Infographic showing various Machine Vision Engineer job openings in Austin, TX as of June 2026, with employment types broken down into 89% Full Time, 5% Part Time, and 6% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $127,637 per year, or $61.4 per hour.
Machine Learning Engineer, Computer Vision - Strategic Data Solutions

Machine Learning Engineer, Computer Vision - Strategic Data Solutions

Apple

Austin, TX

$55.25 - $73/hr

Other

Posted 19 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Apple's Strategic Data Solutions (SDS) team is looking for a hard-working individual who is passionate about implementing and operating analytical solutions that have direct, measurable impact to Apple and its customers. As a CV MLE on the SDS team, you will build end-to-end solutions for preventing fraud, waste, and abuse while safeguarding the customer experience. The day-to-day work consists of identifying new fraud leads by connecting different data sources together; working with a team of annotators to curate a labeled image dataset; building computer vision pipelines or training ConvNet models; deploying the analytic product into a real-time decisioning platform; and ensuring ongoing operational excellence by monitoring and making operational adjustments. The adversarial nature of fraud and the large scale of the business make for exciting challenges. On this team, we apply a variety of data science approaches towards the mitigation of fraud!
• Translate business needs into technical solutions. Work with program managers, data scientists, and business partners to incorporate analytic solutions into business processes \n• Explore tabular and image datasets to identify patterns of fraudulent behavior \n• Move quickly to combat adversarial attacks by developing and deploying updated models \n• Analyze data and communicate findings to audiences with various technical backgrounds (e.g., engineers, program managers, and executives) \n• Coordinate with engineers and system administrators to deploy analytics to a real-time decisioning platform \n• Identify and implement new data science tools to complement the existing capabilities of the team
M.S. or Ph.D. in Computer Science, Machine Learning, Engineering, or other technical field with experience in computer vision or machine learning or equivalent 2 years of proven experience\nPractical experience and theoretical understanding of computer vision methods (e.g., local feature matching) or deep learning models (e.g., CNN)\nAbility to code and debug in a general programming language such as Python or Java\nAbility to extract business insights from data and identify the stories behind the patterns\nAbility to navigate complex systems spanning toolchains and teams
Ability to use a querying language such as SQL to extract insights from data\nDemonstrate ability to think holistically about system structures and interactions in order to anticipate technical, business, and customer impact\nEffective communication skills to translate complex concepts and analysis into concise, business-focused solutions\nTeam-oriented skills and values to facilitate effective collaboration with business and technical partners

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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