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Machine Learning Object Detection Jobs in Oregon

Cellanome

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

... object detection, segmentation, or multimodal AI models. * Experience with machine learning ... frameworks such as PyTorch, TensorFlow, or similar platforms. * Experience optimizing algorithms ...

Agility Robotics

Staff AI Engineer, Perception

Salem, OR

$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 ...

Agility Robotics

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 ...

Chabez Tech

Machine Learning Engineer

Portland, OR

Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview ... detection • Hands-on experience with causal inference methods (e.g., Bayesian networks ...

Chabez Tech

Machine Learning Engineer

Portland, OR

Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview ... anomaly detection Hands-on experience with causal inference methods (e.g., Bayesian networks ...

Chabez Tech

Machine Learning Engineer

Portland, OR · On-site

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 ... detection • Hands-on experience with causal inference methods (e.g., Bayesian networks ...

Varsity Tutors

Machine Learning Tutor

OR · Remote

$40/hr

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

Varsity Tutors

Machine Learning Tutor

Portland, OR · Remote

$40/hr

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

Tyto Athene, LLC

Machine Learning Engineer

Description Tyto Athene is seeking a driven and adaptable Machine Learning Engineer to help shape ... as anomaly detection or IDS rather than just a static or periodically updated dashboard.

Varsity Tutors

Machine Learning Tutor

Eugene, OR · Remote

$40/hr

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

Coulson Aviation

CV/ML Engineer

Portland, OR · On-site

$140K - $190K/yr

You will own all machine learning and computer vision work on the team. Your primary focus will be ... Strong experience with image segmentation, object detection, or scene classification (PyTorch ...

Vectara

Machine Learning (ML) Engineer

OR · On-site +1

... machine learning to real-world problems, and crafting scalable and effective ML/AI solutions ... NLG Evaluation such as hallucination detection Location requirements: We support remote applicants ...

CrowdStrike

Detection Engineer (Remote)

OR · Remote

Our CrowdStrike Data Science Machine Learning Operations and Response Team is looking for a Detection Engineer who is both customer- and team-focused. This role will include both proactive and ...

Cresta

OR

$104.40K - $143.40K/yr

You will develop and improve machine learning systems that power voice experiences end to end, including automatic speech recognition, turn detection, downstream language understanding, retrieval ...

Quantiphi, Inc.

OR · On-site

$122.40K - $161.30K/yr

Senior Machine Learning Engineer Experience Level: 4+ years Work Location: Dallas, TX Employment ... Drift Detection Techniques, Alerting & Observability: Develop and deploy robust drift detection ...

Autodesk

Senior Machine Learning Test Engineer

OR · On-site +1

$110.40K - $143.40K/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)

Webflow

Senior Staff Machine Learning Scientist, Assets

OR · On-site +1

$91.40K - $124.90K/yr

We're looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems ... detection, generation, and multimodal reasoning. * Translate cutting-edge research into practical ...

Nvidia

OR · On-site

$104.40K - $143.40K/yr

GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve ... boundary detection, traffic element recognition, and other static-world tasks. * Develop ...

Vectara

OR

$122.40K - $161.30K/yr

... machine learning to real-world problems, and crafting scalable and effective ML/AI solutions ... NLG Evaluation such as hallucination detection Equity and Salary Range: Salary is just one ...

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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 Oregon? For Machine Learning Object Detection jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Machine Learning Object Detection jobs in Oregon look for? The top searched job categories for Machine Learning Object Detection jobs in Oregon 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:
Machine Learning Object Detection jobs near you
Machine Learning Engineer

Machine Learning Engineer

Cellanome

Foster, OR • On-site, Remote

$160K - $215K/yr

Other

Posted 4 days ago

Job description

The Machine Learning Engineer will work in close collaboration with the core instrument, assay and software teams to develop algorithms for data analysis and workflow automation. This role reports to the Sr. Director AI and can be based in our San Diego CA or Foster City CA offices. Possibility for Remote.

Key Responsibilities:

  • Design, develop, and optimize advanced algorithms for workflow automation, which include computer vision and computational geometry components.
  • Develop signal-processing and image-analysis algorithms using classical methods as well as modern AI/ML approaches, including neural networks.
  • Perform system-level analysis, simulation, and validation to ensure algorithm performance meets product requirements.
  • Collaborate with cross-functional hardware, software, and product engineering teams to integrate algorithms into our broader software ecosystem.
  • Optimize algorithms for deployment on edge devices, GPUs, and high-performance computing environments with considerations for latency, throughput, and memory efficiency.
  • Create technical documentation, validation reports, and performance metrics to support product development and cross-team collaboration.

Role Requirements:

  • Typically requires a Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or a related technical field with 5+ years of relevant experience, or a Master's degree with 3+ years of relevant experience.
  • Experience developing, implementing, and validating algorithms for optimization, automation, sensing, data analysis, or image-processing applications.
  • Strong programming skills in Python with experience developing production-quality, maintainable, and well-documented code.
  • Solid understanding of software development fundamentals, including debugging, version control, testing, and code optimization.
  • Familiarity with AI/ML concepts and workflows, including data preprocessing, model training, evaluation, and deployment.
  • Experience with image analysis, computer vision, signal processing, or data-driven algorithm development.
  • Understanding of mathematical foundations relevant to algorithm development, including linear algebra, probability/statistics, optimization methods, and estimation theory.
  • Experience applying algorithmic techniques such as optimization, dynamic programming, numerical methods, or statistical modeling to solve engineering problems.
  • Familiarity with workflow automation, process optimization, or development of efficient data-processing pipelines.
  • Ability to analyze complex technical problems, evaluate tradeoffs, and develop scalable algorithmic solutions.
  • Excellent communication skills and ability to work independently and collaboratively in a multidisciplinary team environment.

Preferred Qualifications:

  • Proficiency in C++, C#, or other high-performance programming languages for algorithm deployment and system integration.
  • Experience developing AI/ML algorithms for image analysis, pattern recognition, anomaly detection, or automated decision systems.
  • Advanced familiarity with modern computer vision and deep learning architectures, including Vision Transformers (ViTs), CNNs, object detection, segmentation, or multimodal AI models.
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or similar platforms.
  • Experience optimizing algorithms for performance, scalability, memory efficiency, or real-time execution.
  • Familiarity with optimization and estimation techniques such as convex optimization, Kalman filtering, Bayesian estimation, nonlinear optimization, or stochastic methods.

We  provide competitive total compensation packages, including base pay, benefits, and equity. In California, the estimated base salary range for this position is $160,000 - $215,000/year. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

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