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Machine Learning Object Detection Jobs in Kentucky

$114K - $252K/yr

... object detection/classification, natural language processing, time series prediction/classification, reinforcement learning, and large language models. Responsibilities: * Implement machine learning ...

Utilizes advanced machine learning and computer vision techniques to enhance production quality ... Develop algorithms for object detection, classification, and defect recognition. * Test and ...

$144K - $181K/yr

Familiarity with software engineering tools and standard methodologies, e.g. git, unit testing, object-oriented design, containerization * A working understanding of the machine learning lifecycle ...

$184K - $324K/yr

We are looking for a Staff Machine Learning Engineer to drive the design, development, and ... Strong software engineering fundamentals in an object-orient programming language, with emphasis on ...

$253K - $379K/yr

When you join the Latitude team, you'll work alongside leading experts across machine learning and ... Meet the team: The State Estimation team is responsible for multi-object tracking and scene ...

Manager of Machine Learning - AI Modeling and Operation**! As a pivotal member of our AI/ML team ... Drive observability across AI services: latency tracking, drift detection, cost monitoring ...

$175K - $215K/yr

Develop and deploy spatial-temporal anomaly detection models (e.g., S2-cell statistical regressions ... Prior Machine Learning Engineering experience in Python using mature ML frameworks such as ...

... detection, and automated retraining. * Collaborate with Data Engineering and Platform teams to ... learning, machine learning, and LLM‑based solutions. * Advanced Python expertise with strong ...

Apply LLMs and hybrid ML techniques to use cases such as semantic understanding, intent detection ... machine learning models * Demonstrated experience owning ranking, recommendation, or ...

$216K - $324K/yr

The team uses machine learning to tackle difficult and complicated problems in the news, books, and stocks domains, including text extraction, named entity recognition, duplicate detection, search ...

What you'll do We're looking for machine learning engineers who want to build intelligent systems ... Experience in adversarial or noisy-data domains such as fraud detection, risk modeling, or data ...

$272K - $306K/yr

Discord's Safety ML team builds the machine learning systems that protect 200M+ users. The team ... As the manager responsible for Safety ML, you will own the detection systems that sit between ...

$272K - $306K/yr

Discord's Safety ML team builds the machine learning systems that protect 200M+ users. The team ... As the manager responsible for Safety ML, you will own the detection systems that sit between ...

$97K - $135K/yr

Perform image classification, object detection, change detection, and spatial analysis using ... Experience with machine learning or computer vision techniques applied to geospatial imagery.

Role: SentiLink builds the fraud detection and identity verification models much of the US ... Requirements: * 6+ years of industry experience applying machine learning or statistics to ...

Role: SentiLink builds the fraud detection and identity verification models much of the US ... Requirements: * 6+ years of industry experience applying machine learning or statistics to ...

$95K - $123K/yr

We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine Learning (ML) with a focus on identifying trends, object detection, and classification of structured and ...

Showing results 41-60

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 Kentucky?

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

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

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

Senior Staff AI/ML Engineer Aurora, CO, US + 1 more

On-site

$114K - $252K/yr

Other

Medical, Retirement, PTO

Posted 16 days ago


Key responsibilities

  • Implement machine learning algorithms as part of a small interdisciplinary team

  • Analyze large multi-domain datasets including images, text, time series, and graph data

  • Review and apply cutting-edge research publications


Job description

Senior Staff AI/ML Engineer

Job Category: Science

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Local

Anticipated Posting End: 9/4/2026

The Opportunity:

This position is for a Senior Staff AI/ML Engineer looking for new challenging problems. You should have experience working in research teams prototyping and developing AI/ML algorithms. You will support the development of AI/ML algorithms in a multitude of disciplines including object detection/classification, natural language processing, time series prediction/classification, reinforcement learning, and large language models.

Responsibilities:
  • Implement machine learning algorithms as part of a small interdisciplinary team
  • Analyze large multi-domain datasets including images, text, time series, and graph data
  • Review and apply cutting-edge research publications
  • Create technical documentation and user guides
  • Understand training and deployment pipelines including AWS services
  • Provide training and mentoring to team members
QualificationsRequired:
  • Active TS/SCI Clearance
  • B.S. in machine learning, computer science, mathematics, or related field
  • 8+ years of AI/ML development experience
  • Proficiency with Python and ML libraries such as PyTorch, Lightning, OpenCV, NumPy, Polars
  • Experience with supervised and unsupervised learning
  • Experience with deep learning architectures
  • Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket)
Desired:
  • M.S. or PhD in relevant technical field
  • Experience leading interdisciplinary teams
  • Experience with MCP, Microsoft Agent Framework, HuggingFace, LangChain, OpenCV
  • Experience with GenAI Ops techniques (e.g. LLM-as-a-judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix)
  • Experience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning
  • Linux and AWS experience
  • Experience with CUDA and Python libraries such as CuPy, Numba, CuSignal, CuDF, etc.
  • Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
  • Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
What You Can Expect:

A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose - to ensure the safety of our nation.

An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.

Pay Range:

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

Since this position can be worked in more than one location, the range shown is the national average for the position.

The proposed salary range for this position is: $114,600-$252,100

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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