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Remote Machine Vision Engineer Jobs in Baltimore, MD

Inovalon

Senior Systems Development Engineer L4

Bowie, MD · Remote

$100K - $138K/yr

This role requires good understanding of cloud-based infrastructure, virtual machines, storage ... Strong understanding about AD(Active Directory) , GPO (Group Policy Object), RDS(Remote Desktop ...

Inspection Experts, Inc.

BAS Engineer

Columbia, MD · Remote

BAS Engineer Full-Time Remote $95,000 - $120,000 Do you have knowledge of HVAC controls systems ... Benefits 401(k) and Roth IRA 401(k) matching Dental insurance Health insurance Vision insurance ...

Booz Allen Hamilton, Inc.

Network Engineer

Annapolis, MD · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0236261 Location: Annapolis Junction,MD,US Share job via: Share ... Experience managing virtual machine software defined switching and assisting with policy creation ...

Quora

iOS Engineer -Remote

Baltimore, MD · Remote

$61.63 - $88.47/hr

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

iOS Engineer -Remote

Towson, MD · Remote

$61.63 - $88.47/hr

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

iOS Engineer -Remote

Bowie, MD · Remote

$61.63 - $88.47/hr

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

iOS Engineer -Remote

Annapolis, MD · Remote

$61.63 - $88.47/hr

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

iOS Engineer -Remote

Largo, MD · Remote

$61.63 - $88.47/hr

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Leidos

Software Engineering & AI Intern

Odenton, MD · Remote

This role is primarily remote, with mandatory, periodic on-site requirements at either Scott AFB ... You will work with high-volume data, engineer real-time pipelines using technologies such as Kafka ...

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All JobsMachine Vision Engineer JobsRemote Machine Vision Engineer JobsRemote Machine Vision Engineer Jobs in Baltimore, MD

Remote Machine Vision Engineer information

See Baltimore, MD salary details

$31.3K

$128K

$192.3K

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

As of Sep 5, 2026, the average yearly pay for remote machine vision engineer in Baltimore, MD is $127,950.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,900.00 and $154,000.00 per year, depending on experience, location, and employer.

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?

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.

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 are popular job titles related to Remote Machine Vision Engineer jobs in Baltimore, MD?

For Remote Machine Vision Engineer jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Remote Machine Vision Engineer jobs in Baltimore, MD look for?

The top searched job categories for Remote Machine Vision Engineer jobs in Baltimore, MD are:

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Cities near Baltimore, MD with the most Remote Machine Vision Engineer job openings:

Remote Machine Vision Engineer jobs near you

Senior Systems Development Engineer L4

Inovalon

Bowie, MD • Remote

$100K - $138K/yr

Full-time

Re-posted 2 days ago

Job description

Overview:   The Senior Systems Development Engineer L4 will focus on defining, implementing, and enforcing governance and standards for Inovalon's commercial cloud platforms including AWS, Azure, GCP, OCI, and Snowflake. This role requires good understanding of cloud-based infrastructure, virtual machines, storage, networking, and security. This position will split time between developing commercial cloud governance and standards, defining and implementing platform-level features, developing infrastructure as code, and supporting application engineering teams with application design and implementation.

Duties and Responsibilities:

  • Assumes responsibility for defining, implementing, and enforcing governance and standards for commercial cloud platforms including AWS, Azure, GCP, OCI, and Snowflake.
  • Applies commercial cloud best practices to design, develop, and implement AWS, Azure, and GCP platform-level features.
  • Discover, review, and influence new and evolving design, architecture, and standards for building and delivering unique cloud-based infrastructure, applications, and services.
  • Collaborate with application engineering teams to create, monitor, and troubleshoot system infrastructure.
  • Be an expert in service reliability, sustainability, and efficiency. Collaborate with product, application engineering, and security teams to ensure solutions realize non-functional requirements such as availability, performance, security, maintainability, and cost-efficiency.
  • In depth knowledge of infrastructure deployment including knowledge of installation, configuration, troubleshooting of Servers, Storage, and Networking.
  • Develop, gather, and leverage metrics to manage cloud-based infrastructure to drive automation, improvement, and performance.
  • Windows and/or Linux installation and configuration knowhow and automation skills.
  • Strong understanding about AD(Active Directory) , GPO (Group Policy Object), RDS(Remote Desktop Service)
  • Implement backup and disaster recovery strategies

Job Requirements:

  • Minimum of 5+ years experience as a Cloud Engineer, Site Reliability Engineering, or Systems Engineer.
  • Extensive knowledge of existing industry standards, technologies, services, and infrastructure operations of cloud computing platforms such as AWS, Azure, GCP, OCI, or Snowflake.
  • Extensive knowledge of infrastructure as code automation and continuous integration/delivery tools such as Azure DevOps, Azure Pipelines, Terraform, or similar.
  • Extensive scripting experience with Terraform, Linux Shell, PowerShell, Python, or others.

Education:

  • Bachelor's degree in computer science, Software Engineering, or Information Technology
  • Master's degree or PhD in Computer Science, a related technical field, or equivalent practical experience preferred.

Physical Demands and Work Environment:

  • Sedentary work (i.e. sitting for long periods of time).
  • Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
  • Subject to inside environmental conditions.
  • Travel for this position will include less than 10% locally usually for training purposes.

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