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Object Detection Jobs in Pennsylvania (NOW HIRING)

... object detection, segmentation, OCR) used across our drone and MHE Vision products • Build out MLOps infrastructure -- model training pipelines, deployment, monitoring, and CI/CD for ML workloads ...

Train and improve in-house computer vision models for construction diagrams, including segmentation, object detection, and classifiers. * Lead model architecture development and improvements where ...

Drive improvements to core computer vision models (object detection, segmentation, OCR) used across our drone and MHE Vision products * Build out MLOps infrastructure - model training pipelines ...

Drive improvements to core computer vision models (object detection, segmentation, OCR) used across our drone and MHE Vision products * Build out MLOps infrastructure - model training pipelines ...

Design, implement, and test perception algorithms for sensor fusion, object detection, tracking, and classification in mobile off-road robotic systems. * Solve complex perception challenges for ...

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Object Detection information

What is the difference between Object Detection vs Computer Vision Engineer?

AspectObject DetectionComputer Vision Engineer
Required CredentialsKnowledge of machine learning, deep learning, and computer vision frameworksSame as Object Detection, often with additional programming and software development skills
Work EnvironmentResearch labs, tech companies, AI startups focusing on image/video analysisBroader environments including robotics, autonomous vehicles, medical imaging, and multimedia
Industry UsagePrimarily in AI, robotics, surveillance, and autonomous systemsIn various sectors like automotive, healthcare, security, and entertainment

Object Detection specialists focus specifically on identifying and locating objects within images or videos, often using deep learning models. Computer Vision Engineers have a broader role, developing systems that interpret visual data, which includes object detection as one of their tasks. Both roles require similar skills and credentials but differ in scope and application.

What are popular job titles related to Object Detection jobs in Pennsylvania? For Object Detection jobs in Pennsylvania, the most frequently searched job titles are:
Infographic showing various Object Detection job openings in Pennsylvania as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Staff AI Engineer, Perception

Agility Robotics

Pittsburgh, PA

$207K - $323K/yr

Full-time

Re-posted 16 days ago


Job description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.

Agility Robotics is deploying humanoid robots that are solving real-world challenges in logistics and manufacturing. Perceiving and understanding the world is critical to Digit's success in these applications. The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms.

Responsibilities:

  • As a technical lead, you will own the architecture and technical roadmap for object perception systems used by the robot in production
  • Design, develop, and deploy machine learning algorithms for multi-object detection, scene understanding, and 6-DoF object pose estimation
  • Evaluate and drive adoption of state-of-the-art perception models
  • Promote best practices in architecture, design, and testing to deliver high-quality, scalable software
  • Optimize deep neural networks and associated data processing to run efficiently on embedded systems
  • Collaborate with navigation, manipulation and hardware teams to align perception capabilities with product requirements

Requirements:

  • 5+ years of experience deploying machine learning-based object detection algorithms on mobile robots with at least 2 years of experience in a technical leadership role
  • Master's or Ph.D. in Artificial Intelligence, Robotics, Computer Science, or a related discipline, with a strong foundation in machine learning, robotics, and intelligent systems
  • Proficiency in related technical areas such as (but not limited to) deep convolutional neural networks, multi-object tracking, data association, supervised learning and pose estimation
  • Strong mathematical fundamentals in linear algebra and numerical optimization and familiarity with core geometric concepts in computer vision
  • Familiarity with common computer vision and machine learning libraries such as (but not limited to) PyTorch, OpenCV, NumPy, etc.
  • Experience designing and optimizing algorithms for efficient execution across CPU and GPU architectures
  • Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment
  • Publications in your field (CVPR, ICCV, RSS, ICRA preferred)

Bonus Qualifications:

  • Experience using YOLO, Faster/Mask R-CNN
  • Experience developing ML models for 3 or 6 dof pose estimation

This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

Anticipated Salary Range
$207,000—$323,000 USD

In addition to base pay, our competitive total rewards package consists of the following for full-time employees:

  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.

Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.

Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.