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Machine Learning Object Detection Jobs in Oregon

Staff AI Engineer, Perception

Salem, OR · On-site

$207K - $323K/yr

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 ...

Staff AI Engineer, Perception

Salem, OR · On-site +1

$207K - $323K/yr

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 ...

Lead Machine Learning Engineer - Localization

OR · On-site +1

$102K - $134K/yr

Architect and drive the technical roadmap for a production-grade localization machine learning ... This includes object detection, classification, segmentation, tracking, depth estimation, and 3D ...

As a Machine Learning at BetterHelp, you'll join a diverse team of licensed clinicians, engineers ... Build systems to detect unsafe outputs, prompt injection attempts, abuse patterns, and fraud ...

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

Machine Learning Tutor

Eugene, OR · 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:

Machine Learning Tutor

OR · 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:

... object detection, classification, tracking, and prediction. * Ensure May's core perception ... Maintain an understanding of related research fields including machine learning, end-to-end learned ...

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

... detection, and approval decisioning across our lending products. The team develops the shared ... Partner with Machine Learning, Product, Risk, Fraud, and Compliance teams to integrate data ...

Lead ML Engineer - Mapping

OR · On-site +1

$102K - $134K/yr

This includes object detection, classification, segmentation, tracking, depth estimation, and 3D ... You will define data curation, auto-labeling, synthetic data, and active learning pipelines to ...

Lead Data Scientist

OR · On-site +1

... detection, market abuse, trade manipulation, insider communication ... Development of machine learning models and other analytics following established workflows, while ...

Lead ML/Perception Engineer

OR · On-site +1

$102K - $134K/yr

Knowledge of multimodal learning techniques, including contrastive learning and prompt engineering ... Computer Vision: object detection, classification, segmentation. * Semantic scene understanding ...

... detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will leverage the latest machine learning techniques, and technology to optimize ...

... detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will leverage the latest machine learning techniques, and technology to optimize ...

... detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will leverage the latest machine learning techniques, and technology to optimize ...

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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 Oregon?

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

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

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

Staff AI Engineer, Perception

Salem, OR • On-site

Agility Robotics
51 - 200 employees

$207K - $323K/yr

Full-time

Re-posted 3 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.