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Machine Learning Object Detection Jobs in Oregon

Guidewire Software

OR

$104.40K - $143.40K/yr

As a Senior Machine Learning Platform Engineer, you will architect and scale the ML platform that ... Understanding of model performance metrics and drift detection. * Exposure to feature stores (Feast ...

Jumio

Data Intern

OR · Remote

$23/hr

Machine Learning Engineer Location: Remote Role Purpose: The Intern will play a vital role in advancing the company's capabilities in computer vision and fraud detection projects, as well as ...

Hitachi

$99.61K - $136.96K/yr

Time-series analysis and anomaly detection * Statistical modeling and machine learning algorithms * Hands-on experience with: * Root Cause Analysis (RCA) * Fault Tree Analysis (FTA) or failure ...

Service Titan

OR

Build machine learning systems from the ground up and design scalable data science infrastructure ... Deliver cutting-edge forecasting, anomaly detection, and optimization expertise, driving best ...

Upstart

Software Engineer, Verifications Platform

OR · On-site +1

... detection systems. You will work on distributed systems that integrate with third-party data providers, machine learning models, and internal rule engines to power accurate, compliant, and highly ...

New

iHerb

OR

$114.40K - $137.40K/yr

Partners with data scientists to design, build, and maintain reproducible machine-learning ... monitoring, drift detection, logging, observability, and alerting. * Designs scalable data ...

OneStudyTeam

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

AI Monitoring and Bias Detection: Implement processes to monitor machine learning models in production, detecting bias or performance drift and ensuring models remain fair, accurate, and compliant.

Nextdoor

Senior Data Scientist - Fraud Prevention

OR · On-site +1

Develop heuristics, statistical models, and machine learning solutions for proactive detection of abuse, fraud, or harmful content * Build prediction systems (e.g., anomaly detection, risk scoring ...

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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
Senior Detection Engineer

Senior Detection Engineer

Instacart

Remote

$104.40K - $143.40K/yr

Other

Posted 21 days ago

Instacart rating

6.7

Company rating: 6.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

Job description

Overview

Instacarts Detection Engineering team sits at the core of our Security organization, building and operating the systems that identify, surface, and respond to threats across one of North America's largest grocery technology platforms. We own the full detection lifecycle - from telemetry collection and signal design to automated response - across a complex, cloud-native environment spanning endpoint, cloud, container, and SaaS.

As a Senior Detection Engineer, you'll be a technical anchor on the team: developing high-fidelity detection logic, hunting for novel attacker techniques, and raising the bar for how we think about coverage, quality, and scale. You'll work closely with Engineering, Red Team, Incident Response, Fraud, and Trust & Safety to ensure our detections reflect real-world adversary behavior - not just signatures.

We operate with a detection-as-code mindset: everything we build is versioned, tested, and deployed through repeatable pipelines. We care deeply about reducing noise, improving analyst efficiency through automation and SOAR, and continuously evolving our coverage as the threat landscape shifts.

If you're energized by hard forensic problems, enjoy translating attacker TTPs into durable detection logic, and want to help shape the future of a growing security function, this role is for you.

About the Job
  • Develop, tune, document, and maintain detection logic across multiple log sources including endpoint, cloud, container, and SaaS products.
  • Assist in cyber forensic investigations across a variety of log sources
  • Optimize log ingestion pipelines and telemetry collection to ensure high-quality, actionable security data while managing volume and cost
  • Design and build SOAR playbooks and automation workflows to streamline detection triage, enrichment, and response actions
  • Mentor junior security analysts and detection engineers on threat hunting methodologies, detection logic development, and investigation techniques
About You

Minimum Qualifications

  • 5+ years of experience in a detection engineering, incident response, or offensive security role.
  • Experience with 1 or more public cloud platforms (AWS, Azure, GCP)
  • Deep understanding of attacker TTPs across modern zero trust environments, including identity compromise, token theft, and abuse of trust boundaries
  • Proficient understanding of macOS internals and telemetry available to identify macOS specific threats
  • Experience implementing detection-as-code workflows including version control, peer review processes, automated testing, and CI/CD deployment pipelines
  • Basic proficiency with Python, Golang, or other programming languages
  • Relevant certifications: GCFA, GCFE, GNFA, GREM, OSCP, GCIA, or similar

Preferred Qualifications

    • Background in offensive security or red teaming
    • Knowledge of machine learning for threat detection

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What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012

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