2

Full Time Computer Vision Deep Learning Engineer Jobs in Arbyrd, MO

CNC Programmer

Blytheville, AR ยท On-site

$24 - $32.75/hr

Performs setup, programming, and operation of computer numerical controlled (CNC) machines * May ... vision, accident, hospital indemnity, critical illness, life & accidental death Financial - Tool ...

CNC Machinist Programmer

Blytheville, AR ยท On-site

$24 - $32.75/hr

Performs setup, programming, and operation of computer numerical controlled (CNC) machines * May ... vision, accident, hospital indemnity, critical illness, life & accidental death Financial - Tool ...

Showing results 21-40

Full Time Computer Vision Deep Learning Engineer information

See Arbyrd, MO salary details

$44.3K

$111K

$125.6K

How much do full time computer vision deep learning engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for full time computer vision deep learning engineer in Arbyrd, MO is $111,021.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $120,100.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Computer Vision Deep Learning Engineer vs Machine Learning Engineer?

AspectFull Time Computer Vision Deep Learning EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with CV and DL frameworksBachelor's or Master's in CS, Data Science, or related; strong programming skills
Work EnvironmentResearch labs, tech companies, AI startups focusing on visual dataTech firms, finance, healthcare, focusing on predictive models
Industry UsagePrimarily in computer vision, robotics, autonomous vehiclesBroader, including NLP, recommendation systems, predictive analytics

The main difference is that Full Time Computer Vision Deep Learning Engineers specialize in visual data analysis using deep learning, while Machine Learning Engineers work on a wider range of predictive models across various data types. Both roles require strong programming skills and knowledge of ML frameworks, but their focus areas and applications differ.

Infographic showing various Full Time Computer Vision Deep Learning Engineer job openings in Arbyrd, MO as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $111,021 per year, or $53.4 per hour.

Facilities Maintenance and Transportation Manager

Arkansas Early Learning, Inc.

Jonesboro, AR โ€ข On-site

$62K - $69K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 13 days ago


Job description

MAKE AN IMPACT. CHANGE LIVES. END POVERTY.JOIN ARKANSAS EARLY LEARNING: BUILDING A STRONGER COMMUNITY BY EMPOWERING CHILDREN AND FAMILIES WITH SKILLS ESSENTIAL TO THEIR SUCCESS.At Arkansas Early Learning (AEL), we believe every child deserves an opportunity to succeed, no matter their circumstances. AEL was established to serve the most vulnerable children ages birth to five and their families throughout the State of Arkansas. We provide transformational learning programs to vulnerable children within a childcare setting. We offer FREE Infant, Toddler, and Pre-K childcare/daycare programs serving 11 counties with numerous centers across the state of Arkansas. AEL is more than just daycare! We are educators, even as early as 6 weeks old we are implementing an education curriculum. We also offer a variety of child and family support services in a loving, caring, and safe environment.Being on our team at Arkansas Early Learning means you are passionate about a career helping children and your community. You can make a difference every day in a child's life here. We are looking for people who share our purpose and mission, which is to build a stronger community by empowering children and families with skills essential to their success and to provide transformational learning programs to help children and families develop the skills essential to their social competency. Do you have the right purpose to help them unleash their full potential while unleashing your own? NOW HIRING a Facilities and transportation MANAGER: Under the direct supervision of the Regional Program Director, the Facilities and Transportation Manager assists in developing, implementing, and supervising a quality program in the Agency's service area, and in assuring compliance with standards and regulations as they relate to Transportation, Maintenance, Facilities and Safety.Education and/or ExperienceBachelor's or advanced degree in Business or a related field required.1-3 years of prior job related experience preferred.Must have a valid Driver's LicenseMust be able to drive an automobile, full size pickup, and a van.While performing the duties of this job, the employee is regularly required to talk or hear. The employee is frequently required to stand; walk; sit and stoop, kneel, crouch, or crawl. The employee must frequently lift and/or move 10-30 pounds, and occasionally 50 pounds. WHY JOIN OUR TEAM?Arkansas Early Learning offers a set fulltime schedule with weekends off, 34 PAID days off the first year, competitive pay with paid training and a benefits package that includes health, vision, dental, life and more. Are you interested in making a difference in the development and growth of the youth in your community? Sound like the right place for you? Apply now to join our growing team! ABOUT THE ORGANIZATION: Arkansas Early Learning, Inc. is a 501(c)(3) non-profit organization established to serve the needs of children and families throughout the State of Arkansas.EOE STATEMENT: Arkansas Early Learning is an equal employment opportunity employer and selects the best-matched individual for the job, based upon job-related qualifications, regardless of race, color, religion, gender, national origin, disability status, protected veteran status, or any other characteristic protected under state, federal or local law.EOE STATEMENT: Arkansas Early Learning is an equal employment opportunity employer and selects the best-matched individual for the job, based upon job-related qualifications, regardless of race, color, religion, gender, national origin, disability status, protected veteran status, or any other characteristic protected under state, federal or local law.