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Machine Learning Object Detection Jobs in Ohio (NOW HIRING)

BAE Systems

Eng Sr - Signal & Image Proc

Dayton, OH · On-site

$88K - $149K/yr

... and building machine learning (ML) models. Beyond remote sensing and software engineering ... Characterize remote sensing sensors and the impact on target detection and classification.

Monitise

AI Engineer

Columbus, OH · On-site

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect, prevent, and respond to cyber threats. You will work closely with cybersecurity engineers, threat ...

Fiserv, Inc.

AI Engineer

Columbus, OH · On-site

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect, prevent, and respond to cyber threats. You will work closely with cybersecurity engineers, threat ...

Aep

AI Security Operations Analyst

Columbus, OH

Design, implement and maintain AI driven detection and response capabilities within the SOC ... Nice-to-have * Advanced experience with machine learning, data science or AI applications in ...

GRVTY

Data Science - Senior

Dayton, OH · On-site

Background in object detection, scene understanding, and spatial reasoning. * Hands-on experience with unsupervised learning methods and dataset development. * Ability to work in secure environments ...

MMB Solutions LLC

Systems Engineer

Dayton, OH · On-site +1

This position will support development of a data architecture and machine learning experimentation ... Rogue handset detection scenarios * Integrated sensing and communications (ISAC) experiments ...

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Machine Learning Object Detection information

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 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 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 popular job titles related to Machine Learning Object Detection jobs in Ohio? For Machine Learning Object Detection jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Machine Learning Object Detection jobs in Ohio look for? The top searched job categories for Machine Learning Object Detection jobs in Ohio are:
What cities in Ohio are hiring for Machine Learning Object Detection jobs? Cities in Ohio with the most Machine Learning Object Detection job openings:
Machine Learning Object Detection jobs near you
Senior Machine Learning Engineer (Tech Lead), Robot Learning, Loco- Manipulation

Senior Machine Learning Engineer (Tech Lead), Robot Learning, Loco- Manipulation

Path Robotics

Columbus, OH • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago

Job description

Build the Path Forward
At Path Robotics, we're building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception, reasoning, and control to deliver field-ready AI that is risk-aware, reliable, and continuously improving through real-world use.
Big, hard problems are our everyday work, and our team of intelligent, humble, and driven people make the impossible possible together.
We are standing up a new Robot Learning team focused on whole-body loco-manipulation for precision tasks in heavy manufacturing.
We are seeking a Senior Machine Learning Engineer (Tech Lead) for this new team. You write code, set the technical direction, make the architectural decisions the team builds on, mentor junior and intermediate engineers, and help shape how the team works.
What You'll Do
  • Set the ML technical direction for the team, architectural choices on perception, reasoning, and action generation; training methodology; data strategy; the path from research bet to deployed capability. As one of the first senior hires, you are designing the approach, not extending it.
  • Own the architectural workstreams that define the team's research and engineering bets - multiple core build streams across action-policy learning, world-model-based supervision, and policy-orchestration interfaces.
  • Design hybrid physics-ML architectures for the integrated loco-manipulation stack. Manipulation, locomotion, and the whole-body control coupling between them are not separable on legged platforms; sub-millimetre continuous-trajectory precision at the tool requires the whole-body controller to compensate for base motion in real time. Today on fixed bases; tomorrow on mobile platforms. The integration is the hard problem; you own its design.
  • Own the cross-functional partnerships with hardware teams, domain experts, customer-facing assurance standards, and upstream / downstream teams. Drive a phased deployment strategy that builds production trust over time.
  • Mentor and shape the team, guide junior and intermediate ICs across software, ML, robotics, and perception backgrounds; establish code-quality standards, review practices, and engineering norms; help identify and attract next hires. You write code throughout - this is a tech-lead role, not a step away from the work.

Who You Are
  • Ph.D. or Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field or equivalent experience.
  • 5+ years of hands-on robot learning experience. You have shipped sim-to-real policies on real robots, across different tasks or platforms.
  • Demonstrated technical leadership and mentorship. You have made architectural decisions on robot learning systems that others built on, and you have meaningfully shaped the development of more-junior engineers as a tech lead. This can be in academia (leading a lab subgroup, advising students) or industry.
  • Deep sim-to-real expertise - domain randomisation, system identification, teacher-student distillation, sim-to-online fine-tuning. You can design a transfer strategy for a novel problem.
  • Full-stack robot learning - fluent across simulation construction, policy training, data collection, real-world deployment, and failure diagnosis.
  • Physics-informed ML or hybrid control experience - PINNs, neural ODEs, MPC with learned dynamics, process-model-conditioned generation, or similar.
  • A defensible view on visual-reasoning-centric substrates for grounded spatial / physical reasoning.
  • Push-back willingness - you can defend a non-obvious architectural commitment under pressure, and change your mind on evidence.
  • Strong programming skills in Python and C++; production-quality code with reproducibility, testing, and maintainability discipline.
  • Strong communication skills, able to convey complex technical concepts to a diverse audience.
  • Demonstrated independent technical authority - you have set technical direction in a tech-lead capacity, leading a research subgroup, owning an architecture across multiple ICs' work, or making the architectural call on a high-profile project.

Strongly Preferred:
  • Edge inference depth (TensorRT, ONNX, edge-class deployment).
  • Loco-manipulation experience - locomotion, whole-body control, and manipulation on legged platforms (quadrupeds, humanoids). The coupling between the three is the hard problem; direct hands-on experience or a defensible architectural view both count.
  • Precision manipulation or surgical robotics - sub-mm accuracy tasks.
  • Flow-matching action-head design at depth - direct experience with the architectural pattern.
  • Visual self-supervised representation learning experience on robot or 3D-vision tasks.
  • Multi-skill workflow or hierarchical policy design - skill sequencing, failure detection, control mode transitions.
  • Experience building ML capability from early stage - first or second ML engineer on a team, or built a research group's infrastructure from scratch.

Why You'll Love Working Here
  • Daily free lunch to keep you fueled and connected with the team
  • Flexible PTO so you can take the time you need, when you need it
  • Comprehensive medical, dental, and vision coverage
  • 6 weeks fully paid parental leave, plus an additional 6-8 weeks for birthing parents (12-14 weeks total)
  • 401(k) retirement plan through Empower
  • Generous employee referral bonuses-help us grow our team!

Who We Are
At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.

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