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Contract Computer Vision Engineer Jobs in Kentucky

Computer vision. Build detection and activity recognition that works on commercially available ... As StealthCo grows, you will help recruit and evaluate future engineering headcount growth.

New

$120K - $160K/yr

Simbe combines robotics, computer vision, machine learning, data infrastructure, and customer ... Simbe is looking for a Customer Facing Applied AI Engineer to help turn our computer vision and ...

Roboflow simplifies building and using computer vision models. Today, over 1M+ developers, including those from half the Fortune 100, use Roboflow's machine learning open source and hosted tools.

Computer Vision & Machine Learning Engineering Manager for Autonomous Anti-Drone Systems Company Overview: Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy ...

$230K - $255K/yr

... computer vision, catalog and POS data, real-time location data, and inventory intelligence signals to automatically resolve item discrepancies; * Standardizing API contracts for complex retail ...

New

$77K - $105K/yr

Title and Location: Sr Machine Learning Engineer in Santa Clara, CA. Job Responsibilities ... Train and optimize computer vision models for object detection, semantic segmentation, and ...

$230K - $255K/yr

... computer vision, catalog and POS data, real-time location data, and inventory intelligence signals to automatically resolve item discrepancies; * Standardizing API contracts for complex retail ...

New

Work closely with AI Researchers, Computer Vision teams, and platform engineers to design unified ... infrastructure standards across the company's autonomous systems programs. REQUIRED QUALIFICATIONS ...

Develop computer vision and machine learning solutions using monocular, stereo, and depth cameras ... Robotics, Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering ...

$140K - $150K/yr

... Computer Vision SoC. * Analyze clocking scheme and implement clock control structure for at-speed ... Work with Product Engineering team to bring up scan & mbist patterns on ATE. * Support silicon ...

$230K - $255K/yr

... computer vision, catalog and POS data, real-time location data, and inventory intelligence signals to automatically resolve item discrepancies; * Standardizing API contracts for complex retail ...

New

$42.50 - $57/hr

Develop numerical optimization, forecasting, computer vision, machine learning, and anomaly ... Reading and interpreting correspondence, reports, production statistics, cost analyses, contracts ...

$160K - $225K/yr

Our work spans cloud-native platforms, computer vision, natural language processing, data ... Develop data models, API contracts, service interfaces, and integrations across the platform.

You'll lead talented multidisciplinary teams, influence the direction of future products, and help turn emerging ideas in AI, software, computer vision, and systems engineering into reliable ...

$150K - $190K/yr

We are moving fast, and we need an applied engineer who combines real Computer Vision expertise with high-velocity front-end tooling to make complex spatial data instantly intuitive and highly ...

Showing results 21-40

Contract Computer Vision Engineer information

What is a contract computer vision engineer?

Contract Computer Vision Engineers are professionals who specialize in developing and implementing computer vision algorithms and systems on a contract or freelance basis, rather than as full-time employees. They use their expertise in machine learning, image processing, and software engineering to help organizations solve problems involving visual data, such as object detection, image classification, and facial recognition. These engineers typically work on short- or medium-term projects, providing specialized skills and flexibility to companies that need computer vision solutions without hiring permanent staff.

What are the key skills and qualifications needed to thrive as a contract computer vision engineer?

To thrive as a Contract Computer Vision Engineer, you need strong programming skills in Python or C++, a solid understanding of machine learning algorithms, and a background in computer vision concepts, often supported by a relevant degree. Familiarity with tools like OpenCV, TensorFlow, PyTorch, and experience with cloud platforms or version control systems is typically required. Excellent problem-solving abilities, adaptability, and clear communication help you collaborate well with clients and teams on diverse projects. These skills are crucial to efficiently deliver high-quality, innovative computer vision solutions that meet client requirements on time.

What are some common challenges a contract computer vision engineer might face when integrating CV solutions into existing client systems?

As a Contract Computer Vision Engineer, you'll often encounter the challenge of integrating your models and algorithms with a client's existing infrastructure, which may use outdated or unfamiliar technologies. Ensuring compatibility, optimizing performance for specific hardware, and addressing data privacy concerns are frequent hurdles. Additionally, since contract roles are typically project-based, you may need to quickly adapt to new codebases and collaborate with multidisciplinary teams to align your solutions with broader business objectives. Clear communication and documentation are crucial to ensure smooth handover and long-term maintainability.

What is the difference between Contract Computer Vision Engineer vs Contract Machine Learning Engineer?

AspectContract Computer Vision EngineerContract Machine Learning Engineer
Required CredentialsBachelor's or Master's in CS, experience in CV frameworksBachelor's or Master's in CS, experience in ML frameworks
Work EnvironmentTech companies, startups, research labsTech companies, startups, research labs
Employer & Industry UsageUsed in image/video analysis, autonomous vehicles, roboticsUsed in predictive modeling, data analysis, AI applications

Contract Computer Vision Engineers focus on developing algorithms for image and video processing, while Contract Machine Learning Engineers work on broader AI models. Both roles often share similar credentials and work environments but differ in their specific technical focus and application areas.

What are the most commonly searched types of Computer Vision Engineer jobs in Kentucky?

The most popular types of Computer Vision Engineer jobs in Kentucky are:

What are popular job titles related to Contract Computer Vision Engineer jobs in Kentucky?

For Contract Computer Vision Engineer jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Contract Computer Vision Engineer jobs in Kentucky look for?

The top searched job categories for Contract Computer Vision Engineer jobs in Kentucky are:

What cities in Kentucky are hiring for Contract Computer Vision Engineer jobs?

Cities in Kentucky with the most Contract Computer Vision Engineer job openings:

AI/ML Engineer - Manufacturing Vision Inspection Systems

Georgetown, KY • On-site

Toyota Motor Sales, U.S.A., Inc.
Automobile Dealers • 10K+ employees

Full-time

Medical, Retirement, PTO

Posted 7 days ago


Toyota rating

7.1

Company rating: 7.1 out of 10

Based on 878 frontline employees who took The Breakroom Quiz

29th of 45 rated automakers


Job description

Overview
Who we are
Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We're looking for talented team members who want to Dream. Do. Grow. with us.
Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other work authorization for this role now or in the future. You must have the right to work in the United States and not require Toyota support or sponsorship for immigration-related employment (e.g., H-1B, O-1, E-3, H-1B1, TN, F-1 OPT, F-1 STEM OPT, F-1 CPT, 'job flexibility benefits' [also known as I-140 or Adjustment of Status portability], etc.) now or in the future. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorship now or in the future.
Who we're looking for
Toyota's Manufacturing Innovation and Transformation Department is looking for a passionate and highly motivated Engineer.
Reporting to the Manufacturing Innovation Manager, this role leads end-to-end engineering and deployment of next-generation automated quality inspection systems for Toyota's North American manufacturing facilities, supporting the Production Engineering Division and SOAR Group's goal of improving manufacturing competitiveness.
What you'll be doing
  • Model Development & Training
    • Design and implement computer vision models for defect detection, segmentation, and classification.
    • Accelerate training cycles using synthetic data, active learning, and domain randomization, including for rare edge-case defects.
  • Production Deployment & MLOps
    • Package models with Docker and manage deployments via Kubernetes (K8s) or equivalent orchestration.
    • Implement MLOps practices - version control, rollback strategies, and observability for latency, lighting drift, and false-positive/negative rates on production lines.
  • Edge Optimization
    • Optimize inference for edge/embedded hardware (e.g., NVIDIA Jetson, Intel accelerators) to meet real-time latency requirements for moving-line inspection.
    • Maintain consistent performance across varying lighting, optics, and surface conditions.
  • Manufacturing System Integration
    • Integrate vision systems with PLCs, encoders, triggers, and industrial networks using OPC-UA, MQTT, and REST.
    • Align deployments with Toyota's ICS+, GALC, and TVIP architecture standards for plant-level connectivity and reliability.
  • Data Strategy & Quality Control
    • Lead defect image collection campaigns, manage annotation workflows, and set quality gates for model validation.
    • Use synthetic data pipelines and augmentation to improve robustness and reduce training time.
  • Reliability & Sustainment
    • Meet uptime/availability targets through proactive monitoring, calibration (MSA), and backup/restore processes.
    • Implement drift detection, audit false negative risk, and conduct root cause analysis for inspection failures.
  • Innovation & Collaboration
    • Pioneer new deflectometry, reflection, and multi-camera imaging technologies to elevate vehicle surface quality control.
    • Lead inspection booth software deployments from concept through SOP (Start of Production).
    • Evaluate optical AI solutions through on-site plant trials, compiling data for North American rollout.
    • Collaborate across NAMCs, Toyota Motor Corp (TMC), Toyota Technical Center (TTC), PE support shops, IT (One Tech), automation teams, and Enterprise AI divisions.

What you bring
  • Bachelor's degree or higher in Engineering, Computer Science, IT, or related field.
  • 2+ years in industrial machine vision and edge AI deployment.
  • 3+ years of AI/ML experience with camera-based vision systems.
  • Experience managing the full model lifecycle: data collection, labeling, validation, rollout, monitoring, retraining.
  • Hands-on experience with containerization (Docker) and orchestration (Kubernetes).
  • Knowledge of ONNX Runtime, TensorRT, and embedded hardware optimization.
  • Willingness to work weekends, holidays, shutdowns, and multiple shifts as needed; up to 30% overtime.
  • Ability to travel up to 30% (US, Canada, Mexico, other manufacturing sites, and Japan).

Added bonus if you have
  • Master's or advanced degree with a strong foundation in optical systems, computer vision, image processing, or AI automation.
  • Research background in optical physics (specular reflection, deflectometry, multi-spectral imaging) applied to production-grade deep learning.
  • 5+ years of software project management involving internal and external stakeholders.
  • Experience integrating AI safety controls and optical fault-handling into PFMEAs, camera trigger reliability frameworks, and QCPs.
  • Expertise in synthetic data generation (GANs, VAEs, NeRFs, Blender) and domain randomization.
  • Experience with high-speed inline inspection and vision-based process control.
  • Knowledge of IIoT data pipelines and messaging standards.

What we'll bring
During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:
  • A work environment built on teamwork, flexibility, and respect.
  • Professional growth and development programs to help advance your career, as well as tuition reimbursement.
  • Team Member Vehicle Purchase Discount.
  • Toyota Team Member Lease Vehicle Program (if applicable).
  • Comprehensive health care and wellness plans for your entire family.
  • Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute (if applicable).
  • Paid holidays and paid time off.
  • Referral services related to prenatal services, adoption, childcare, schools, and more.
  • Tax-Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA).
  • Relocation assistance (if applicable).

Belonging at Toyota
Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star.
Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.
Have a question, need assistance with your application or do you require any special accommodations? Please send an email to talent.acquisition@toyota.com.

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