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Machine Learning Object Detection Jobs in Wisconsin

WI · On-site

$95 - $138/hr

Software Machine Learning Engineer Meet the team Cisco Norway is a global leader in developing ... Solve interesting challenges in areas like object detection, face recognition, and scene ...

New

WI · On-site

$170 - $230/hr

D. in computer vision, machine learning, or related fields. * Experience with object detection and tracking in challenging real-world conditions such as small targets, cluttered backgrounds, or low ...

WI · On-site

$120 - $150/hr

... Machine Learning, or related field. * 5+ years of experience designing and deploying applied ML systems at scale. * Experience with computer vision (CNNs, object detection, segmentation) and natural ...

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Machine Learning Tutor

Madison, WI · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

WI · On-site

$140 - $180/hr

Senior Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems Company ... to precisely detect, track, and neutralize enemy drones. With an engineering-first culture, ACS ...

$107K - $139K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Build quality gates for training and deployment pipelines (e.g., regression checks, drift detection)

WI · On-site

$120 - $180/hr

Develop monitoring, observability, and alerting capabilities for machine learning systems, including model performance tracking, drift detection, and data quality monitoring. * Collaborate with ...

WI · On-site

$140 - $190/hr

Develop monitoring, observability, and alerting capabilities for machine learning systems, including model performance tracking, drift detection, and data quality monitoring. * Collaborate with ...

Senior ML Ops Engineer

Middleton, WI · On-site

$123K - $170K/yr

... machine learning systems, including model performance tracking, drift detection, and data quality monitoring. · Collaborate with Machine Learning Engineers, Data Scientists, Software Engineers, and ...

WI · On-site

$150 - $190/hr

Apply artificial intelligence and machine learning techniques, including large language model and agentic approaches, to augment detection engineering, investigation, triage, and response workflows

WI · On-site

$140 - $190/hr

... detection. The successful candidate must be comfortable operating in a fast‑paced and sometimes ... Strong technical foundation in machine learning and statistical modeling, with deeper experience in ...

New

WI · On-site

$115 - $160/hr

Configure and tune machine learning algorithms to reduce false positives while maintaining high detection efficacy * Develop and implement AI-driven automation playbooks for security operations

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

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Showing results 1-20

Machine Learning Object Detection information

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What are the key skills and qualifications needed to thrive as a machine learning object detection engineer, and why are they important?

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

What are popular job titles related to Machine Learning Object Detection jobs in Wisconsin?

For Machine Learning Object Detection jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Machine Learning Object Detection jobs in Wisconsin look for?

The top searched job categories for Machine Learning Object Detection jobs in Wisconsin are:

What cities in Wisconsin are hiring for Machine Learning Object Detection jobs?

Cities in Wisconsin with the most Machine Learning Object Detection job openings:

Senior Machine Learning Engineer, Computer Vision

Oregon, WI • On-site

Portland Seed Fund
Investment Clubs and Venture Capital Companies • 1 - 10 employees

$150 - $210/hr

Other

Medical, Dental, Retirement, PTO

Posted 7 days ago


Job description

Senior Machine Learning Engineer, Computer Vision at Overwatch Imaging

Overwatch Imaging is an imagery intelligence technology company working to bring sensor autonomy to time-critical airborne search, detection,trackingand monitoring missions. Our Automated Sensor Operator (ASO) software, native to our own line of purpose-built Smart Sensors and as an upgrade for airborne video gimbal platforms, bringsSuperhuman VisionandWorkload Reductionto users of real-time imagery intelligence systems. We fundamentally believe that modern edge processing and AI-enabled autonomy can perform an important set of time-critical imagery intelligence missions better,fasterand moresafely than humans can alone.

Founded in 2016 in Hood River, Oregon, we support private sector companies as well as federal,stateand local agencies around the world with missions ranging from wildfire mapping and disaster response to law enforcement, border security, maritime domainawarenessand tactical intelligence.

About this Role:

Join our dynamic team to build, maintain, and optimize the end-to-end data and model pipelines that power our core Artificial Intelligence systems. This is a hands-on role perfect for an ambitious engineer who is passionate about taking raw data through the entire lifecycle, from scraping and wrangling to production-ready, trained models.
This role is remote-friendly, with a preference for candidates who can spend occasional time onsite in Hood River, OR.

What You’ll Do:
  • MLOps and Training Infrastructure
    • Design and improve training pipelines to support faster, continuous model iteration
    • Enable scalable experimentation across datasets, model architectures, and training strategies
    • Improve reproducibility, experiment tracking, and comparison of training runs
  • Data Pipelines and Dataset Quality
    • Build and refine workflows for:
      • Data indexing, curation, and preprocessing
      • Label quality validation and dataset management
      • Data exploration for targeted labeling
    • Develop evaluation and tests that reflect real-world operating conditions
    • Improve synthetic data workflows to support targeted model improvement
  • Model Development and Experimentation
    • Train, evaluate, and iterate on computer vision models for:
      • Detection, segmentation, classification, tracking
      • Transformer and multi-modal architectures where appropriate
    • Continuously explore and evaluate:
      • new model families and research directions
      • Domain-specific optimizations for aerial imagery, small-object detection
    • Incorporate multi-modal inputs including:
      • Multiple image bands
      • Platform and sensor metadata (range, angles, telemetry, etc.)
  • Edge deployment and Optimization
    • Optimize models for deployment on embedded GPU platforms like Nvidia Jetson
    • Balance accuracy, latency, and resource constraints for real-world, real-time workflows
What You’ll BringCore Experience
  • 5+ years of experience in machine learning, with a focus on computer vision
  • B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related technical field, or equivalent practical experience
  • Hands-on experience building and improving computer vision or perception modelsinproduction or real-world systems, especiallyfor object detection, object tracking
  • Strong understanding of model evaluation, including selecting metrics, building test sets, analyzing false positives/false negatives, and measuring performance over timefor iterative improvement
Technical Skills
  • Experience with PyTorch or Tensorflow
  • Strong understanding of modern computer vision architectures:
    • CNNs, transformers (ViTs), and/or multi-model models
    • OpenCV, NumPy, or similar
  • Experience building training and data pipelines for medium to large scale datasets
  • Strong python skills and solid software engineering fundamentals
Bonus
  • Aerial imagery, geospatial data, or remote sensing
  • Photogrammetry
  • Multi-modal learning systems
  • Familiarity with state estimation and tracking methods (Kalman Filters, DeepSORT, ByteTrack, etc)
  • Experience with performance languages (C++or similar)
What We Offer:
  • Growth Opportunities: As a team member of a true startup, you will learn by doing and shape our future. The opportunities are limitless for those who want to grow their career.
  • Impact Opportunity: We work on missions that matter to keep people safe and make the world better, and we do it without bureaucracy at the speed of a startup.
  • Team Collaboration: Work in a fast-paced, collaborative environment with amazing teammates. The Overwatch Imaging leadership team believes in an open-door policy, meaning everyone has a voice and access to guidance, advice, feedback, and the ability to pitch crazy new products or ideas.
  • Late Start Wednesday: A weekly block to have focus time away from meetings and calls. An opportunity to work from home, flex your schedule or self-directed time to focus on training and development.
  • Time Off: Generous PTO to empower employees to make decisions about work life balance based on work and home needs.
  • Holidays: Overwatch Imaging recognizes 10 company holidays.
  • Ownership: Equity/Stock Options in our rapidly growing company.
  • Health Benefits: Medical/Dental premiums 100% covered by Overwatch Imaging for employees and their families, plus available pre-tax health savings account.
  • 401K: Employer matching contributions up to 4% of pay.

All applicants must be authorized to work on a permanent basis in the United States.

Overwatch Imaging is an equal opportunity workplace and makes employment decisions based on merit and business needs, regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity, Veteran status, or any other protected personal characteristic.

All applicants mustbe authorized towork on a permanent basis in the UnitedStates.

Overwatch Imaging is an equal opportunity workplace and makes employment decisions based on merit and business needs, regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity, Veteran status, or any other protected personal characteristic.

We encourage all qualified candidates to apply, even if they don'tmeet every requirement listed

in this job description. We value diversity of experience and perspectives and are always looking

for talented individuals to join our team.

Export Control Compliance Notice

Export Control Compliance Notice
This position may involve access to data, technology, or software that is subject to U.S. export control laws and regulations, including the International Traffic in Arms Regulations (ITAR) and/​or the Export Administration Regulations (EAR). As such, employment is contingent upon the applicant’s ability to obtain any necessary export authorization, asdeterminedby an export compliance assessment conducted by the company.

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