ZipRecruiter

Log In

2

Remote Machine Vision Engineer Jobs in Portland, OR

U.S. Army Corps of Engineers

Machinist

Portland, OR · On-site +1

$41.19 - $48.06/hr

You will accomplish work in the Machine shop, Moorings yard and adjacent buildings, on floating plants; and may require travel to remote repair sites on an emergency basis. Learn more about this ...

Trimble

Enterprise Support Engineer

Lake Oswego, OR · On-site +1

$110K - $136K/yr

Hybrid (4 days in office/1 day remote) Travel Requirement : 10% Why You'll Love Working With Us At ... Our impact is tangible, from connected machines that save fuel to data-driven insights that reduce ...

Autodesk

Sr. Principal IAM Security Engineer

Portland, OR · Remote

$121K - $166K/yr

Remote Eligible Team: Cyber Defense - IAM Autodesk's Cyber Defense team is looking fora Sr ... Embed AI and machine learning capabilities into IAM platforms and security tooling to enable ...

KEYENCE

Field Application Engineer

Portland, OR · On-site +1

$54K - $81K/yr

The title for this role may be called Application Engineer, Vision Consulting Engineer, or ... Provide on-call, on-site and remote technical support, training, and troubleshooting * Travel ...

next page

Showing results 1-20

All JobsRemote Machine Vision Engineer JobsRemote Machine Vision Engineer Jobs in Portland, OR

Remote Machine Vision Engineer information

See Portland, OR salary details

$33.4K

$136.6K

$205.2K

How much do remote machine vision engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for remote machine vision engineer in Portland, OR is $136,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,600.00 and $164,400.00 per year, depending on experience, location, and employer.

How do Remote Machine Vision Engineers typically collaborate with cross-functional teams given the remote nature of the role?

Remote Machine Vision Engineers often work closely with software developers, hardware engineers, and project managers through virtual meetings, collaborative platforms, and shared code repositories. Effective communication is essential to ensure alignment on project goals, technical specifications, and integration challenges. Regular video conferences, clear documentation, and agile project management tools help maintain productivity and foster team cohesion, despite being geographically dispersed.

What does a Remote Machine Vision Engineer do?

A Remote Machine Vision Engineer designs, develops, and implements computer vision systems that enable machines to interpret visual information, often working from a remote location. Their tasks include creating algorithms for image processing, integrating hardware like cameras, and collaborating with teams to solve automation or inspection challenges. They may work in industries such as manufacturing, robotics, or healthcare, using technologies like deep learning and neural networks. Remote Machine Vision Engineers typically use tools such as Python, OpenCV, and TensorFlow, and communicate with their teams via digital platforms. This role requires both strong programming skills and a deep understanding of image analysis techniques.

What are the key skills and qualifications needed to thrive as a Remote Machine Vision Engineer, and why are they important?

To thrive as a Remote Machine Vision Engineer, you need expertise in computer vision, image processing, programming (such as Python or C++), and a relevant engineering or computer science degree. Familiarity with frameworks like OpenCV, deep learning libraries (TensorFlow or PyTorch), and experience with cloud-based collaboration tools are typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in this role. These skills ensure the accurate design and deployment of vision solutions while maintaining productivity and collaboration in a remote work environment.
What are popular job titles related to Remote Machine Vision Engineer jobs in Portland, OR? For Remote Machine Vision Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Remote Machine Vision Engineer jobs in Portland, OR look for? The top searched job categories for Remote Machine Vision Engineer jobs in Portland, OR are:
Remote Machine Vision Engineer jobs near you
Data Scientist I or II (MAD-BS-OR)

Data Scientist I or II (MAD-BS-OR)

Hitachi, Ltd.

Hillsboro, OR • On-site

$121K - $167K/yr

Full-time

Posted 22 days ago

Job description

Location:
(HTA) NCP (Hillsboro, OR)
Job ID:
R0128931
Date Posted:
2026-05-01
Company Name:
HITACHI HIGH-TECH AMERICA, INC.
Profession (Job Category):
Data Analytics/Business Intelligence
Job Schedule:
Full time
Remote:
No
Job Description:
POSITION: Data Scientist I or II
DIVISION: Metrology and Analysis Systems Division (MAD)
COMPANY: Hitachi High-Tech America, Inc. ("HTA")
TRAVEL: Up to 5% (internationally)
REMOTE WORK: Hybrid (+50% Remote) - Remote 60% / Onsite 40%
EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136,961 annually
Data Scientist II: $121,673 - $167,301 annually
This pay range is for the position's base pay only. This position may be eligible for other compensation including bonus pay and/or allowances. Candidates will receive additional information during the interview and selection process.
Position Level: The best fit candidate selected for this position will be offered a job title/level (Data Scientist I vs. Data Scientist II) that is most appropriate after evaluating the person's education, experience, training, knowledge, skills, and abilities.
POSITION SUMMARY
Data Scientists are responsible for the development and maintenance of Artificial Intelligence (AI) software and systems for Hitachi High-Tech America, Inc. (HTA) products.
PRIMARY RESPONSIBILITIES
  • Hands-on development and write algorithms in machine learning, statistical modelling, neural nets, and pattern recognition from data exploration
  • Develop, train, and deploy ML models for Time-series forecasting and anomaly detection. Classification and regression on tabular and sensor data, predictive maintenance and failure prediction
  • Design end-to-end ML pipelines including Data ingestion, feature engineering, model training, evaluation, and deployment
  • Lead and support Root Cause Analysis (RCA) investigations using data-driven approaches
  • Build frameworks for Fault Tree Analysis (FTA) and failure mode identification
  • Collaborate with domain experts (engineering, operations) to translate failure patterns into ML features and models
  • Design and develop Agentic AI systems capable of:
    • Autonomous reasoning over structured and unstructured data
    • Tool usage (query engines, APIs, analytics pipelines)
    • Multi-step decision making and diagnostics workflows
  • Implement LLM-based systems with:
    • Tool-calling frameworks
    • Retrieval-Augmented Generation (RAG)
    • Structured outputs and validation pipelines
  • Partner with cross-functional teams (Data Engineers, Software Engineers, Domain Experts)
  • Build scalable, production-ready solutions using:
    • Python-based ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
    • Data processing tools (Pandas, Spark, SQL)
  • Deploy models and services using:
    • REST APIs (FastAPI, Flask)
    • Containerization (Docker, Kubernetes)
  • Work with modern data platforms:
    • Time-series DBs (e.g., Prometheus, InfluxDB)
    • Analytical DBs (e.g., ClickHouse, PostgreSQL)
    • Vector DBs (e.g., Qdrant, FAISS)
  • Translate business problems into technical solutions
  • Creating architecture and complex designs independently and documenting them
  • Integrate and test software to confirm compliance with specifications
  • Developing functional specifications
  • Participate in design reviews, code reviews of peers and test reviews
  • Performing functional tests
  • Other duties as assigned

EDUCATION, LICENSES, and/or CERTIFICATION REQUIREMENTS
  • Master of Science degree in Data Science, Statistics, Computer Science, or similar quantitative field

EXPERIENCE and TRAVEL REQUIREMENTS
  • Must have at least five (5) years of practical experience in writing algorithms in Machine Learning, Statistical Modelling, Neural Nets, and Pattern Recognition from data exploration
  • Five (5) years of experience in Data Science / Machine Learning
  • Strong programming skills in Python
  • Proven experience with:
    • 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 modeling
  • Experience working with real-world, noisy, and large-scale datasets
  • Experience with Agentic AI / LLM systems, including:
    • Tool-calling architecture
    • RAG pipelines
    • Prompt engineering and evaluation frameworks
  • Familiarity with:
    • Distributed systems and scalable ML infrastructure
    • MLOps practices (CI/CD, monitoring, model versioning)
  • Knowledge of:
    • Signal processing or physics-based modeling
    • Graph-based reasoning or causal inference
  • Full software development lifecycle experience, must be comfortable working using Agile as well as iterative methodologies
  • Experience with Test-driven development using tools to spot performance issues and memory leaks.
  • This position requires international travel for business purposes - up to 5%

SKILLS and ABILITIES REQUIREMENTS / SAFETY REQUIREMENTS
  • Ability to investigate and apply new technologies
  • Effective oral and written communication skills, including ability to effectively communicate challenging or technical concepts.
  • Excellent relationship building skills
  • General technical knowledge of semiconductor metrology equipment
  • Strong engineering analytical and problem-solving skills
  • Proactively undertake R&D activities and deliver tangible results under deadlines
  • Ability to manage multiple tasks and prioritize work accordingly
  • Work longer than normal hours as needed during releases and customer escalations
  • Self-sufficient, self-reliant, and self-disciplined, but also able to operate effectively as part of a team
  • Ability to comprehend and enforce safety policies

Equal Opportunity Employer (EOE)
Hitachi High-Tech America, Inc. is an equal opportunity employer. Hitachi High-Tech America, Inc. is committed to equal employment opportunities for qualified applicants without discrimination on the basis of actual or perceived of race (including traits historically associated with race, such as natural hairstyle), color, national origin, ancestry, religious creed, age, sex, sexual orientation, gender (including gender expression and gender identity), marital status, registered domestic partner status, family status, military and veteran status, domestic violence victim status, medical condition (including genetic characteristics), physical or mental disability, pregnancy, or any other legally protected characteristic or status.
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to HTA-AccommodationRequests@hitachi-hightech.com
Hitachi Vantara logo

About Hitachi Vantara

Sourced by ZipRecruiter

Hitachi Rail is a fully integrated, global provider of rail solutions across rolling stock, signaling, service & maintenance, digital technology and turnkey. With a presence in 38 countries across three continents and over 13,000 employees, our mission is to contribute to society through the continuous development of superior rail transport solutions.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

2017

View All Hitachi Vantara Jobs

Apply