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Machine Learning Object Detection Jobs in Oregon

OR

$134K - $180K/yr

You will lead efforts to deliver software that uses machine learning to optimize pricing and ... Proficiency in one or more object oriented programming languages like Python, Java, C#, C+

New

... detection to autonomous, multi-modal AI agents. * Lead Architectural Innovation: Champion the ... Strong background in object-oriented programming (OOP) and machine learning fundamentals, with a ...

New

Senior AI Engineer - SFL Scientific

Portland, OR · On-site

$110K - $152K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... Some of our novel use cases include cancer detection, drug discovery, optimizing population health ...

OR · On-site

$105K - $143K/yr

Machine learning techniques such as anomaly detection, classification, and forecasting will augment ... Comfortable with object-oriented design, data manipulation libraries (pandas, NumPy). * Familiarity ...

Products within this space leverage rules-based detection, machine learning models, and integrated case management workflows to identify suspect provider behavior, support investigations, and drive ...

Vectra directly analyses network traffic in real time using a patent-pending combination of data science, machine learning, and behavioral analysis to detect attacker behaviors and user anomalies in ...

Python Tutor

OR · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

Python Tutor

Portland, OR · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

Python Tutor

Eugene, OR · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

This role focuses on applying machine learning, generative AI, and advanced data engineering ... Anomaly detection and data quality monitoring * Achema mapping and data harmonization across ...

$114K - $137K/yr

You are responsible for building the validation, monitoring, and observability systems that detect ... Experience designing scalable technical architectures for AI or machine learning solutions in ...

OR

$100K - $140K/yr

OSARO automation systems bring together advanced machine learning for object recognition with powerful control software that adapts to customer data and environments. The company's robotic piece ...

OR

$100K - $140K/yr

OSARO automation systems bring together advanced machine learning for object recognition with powerful control software that adapts to customer data and environments. The company's robotic piece ...

OR · On-site

... machine learning engineers, and sales teams. The team owns and operates critical systems such as metrics transformation and storage, billing, spam detection, and lift testing, supporting multiple ...

Turning Machinist, 1st Shift

Hillsboro, OR · On-site

$23.75 - $32.50/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... Starts and observes machine operation to detect malfunctions or out-of-tolerance machining.

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Showing results 1-20

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:
Principal Software Engineer, Core Pricing

Principal Software Engineer, Core Pricing

Upstart

OR

$134K - $180K/yr

Other

Posted 2 days ago


Job description

The Team: 

The Core Pricing Team is responsible for building a best-in-class platform to accurately create loan offers for all of Upstart's loan products like Personal Loans, Auto loans and Home loans. The services owned by the team are responsible for validating applicant data, interfacing with Machine Learning models to calculate borrower risk, matching applicants to lenders, and calculating interest rates, fees, etc. We are developing new capabilities for Upstart's loan products and building a next generation software platform to accelerate innovation on behalf of our customers.

As a Principal Software Engineer, you will drive technical excellence and innovation within the Core Pricing team, with a focus on Personal and Unsecured Loans, one of Upstart's primary revenue drivers. You will set the technical vision and direction for the team, working backward from our product strategy. You will lead efforts to deliver software that uses machine learning to optimize pricing and continuously improve the efficiency of our borrower-lender marketplace.

You will have the opportunity to design and build large-scale systems, partner closely with machine learning scientists, and work in a highly collaborative, fast-paced environment. We are looking for a seasoned technical leader with a passion for machine learning, finance, experimentation, and distributed systems. If this sounds exciting, we would love to hear from you.

How you'll make an impact

  • Define the long-term technical direction and roadmap for Pricing in alignment with Upstart's business objectives. 
  • Lead the design and development of a system that continuously optimizes the matching of supply and demand for Upstart's borrower-lender marketplace. 
  • Work closely with ML scientists to improve and develop new models that improve core business metrics. 
  • Guide the architectural evolution of Pricing engineering systems with an emphasis on scaling innovation across multiple engineering teams. 
  • Uncover and drive alignment across complex technical requirements, designs, trade-offs, influencing product direction 
  • Proactively evaluate, prototype, and roll out new technologies/frameworks to help cultivate a culture of innovation
  • Lead from the front, while mentoring and developing technical leaders

Minimum Qualifications 

  • Bachelor's degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 8 years of experience
  • Experience building highly scalable systems using containerization technologies like Docker and Kubernetes
  • Experience building flexible, extensible and consistent APIs 
  • Solid grasp of software development principles and best practices for creating scalable, extensible  and maintainable systems
  • Proficiency in one or more object oriented programming languages like Python, Java, C#, C++
  • Strong communication skills and ability to explain complex business and technical concepts to all audiences
  • Track record of successfully mentoring and developing technical leaders
  • Experience working in dynamic fast paced organizations
  • Ability to balance the needs of the business with the needs of engineering improvements
  • Passion for clean code and architecture and initiative to "level-up" the engineering team with better practices & design
  • You are able lead and resolve company-wide technical discussions and are able to collaborate and include input from cross-functional teams (security, devops, data, compliance and product)
  • You have a good sense for build-vs-buy and are able to prioritize the highest ROI architectural investments

Preferred Qualifications

  • High proficiency with Python
  • Experience with A/B testing, GRPC, and Kafka
  • Experience working in Fintech, Pricing, Ads, or ML.
  • Background in statistics, mathematics, or econometrics is a big plus. 
  • Experience designing and building microservice-based architectures
  • Experience developing large scale distributed systems in AWS
  • Strong sense of ownership and accountability for the quality and timely delivery of work
  • Ability to thrive both in self-directed work environments and in collaborative settings, contributing positively to team dynamics
  • Demonstrated ability to take feedback well and actively incorporate it into work with a desire to continuously improve
  • Ability to influence and lead without direct authority
  • Strong product and analytical mindset that allows you to think in terms of ROI, risk, and trade offs
  • Experience working at companies that have gone through periods of rapid business or organizational growth

Position location This role is available in the following locations: Remote

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions' cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

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