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Remote Machine Vision Engineer Jobs in Baltimore, MD

Booz Allen Hamilton, Inc.

Agentic AI Engineer

Annapolis, MD · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0243058 Location: Annapolis Junction,MD,US Share job via: Share Agentic AI Engineer The Opportunity: You know that machine learning is critical to understanding and ...

Motorola

Senior DevOps Engineer (US REMOTE)

Beltsville, MD · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Altumint

Python Engineer

Lanham, MD · On-site +1

$110K - $125K/yr

... remote configuration. • Write clean, maintainable, and well-documented code within a large ... machine learning, computer vision, or intelligent transportation technologies. • Experience ...

Mondo

Staff Engineer

Baltimore, MD · Remote

$70 - $85/hr

Staff Engineer, location is Remote (with hybrid conversion). The start date is July 2026 for this 6 ... Eligible for Health, Dental, Vision, 401K Must be authorized to work in the U.S. This position is ...

T Rowe Price

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

... machine learning roles. * Strong proficiency in Snowflake tech, DBT, Airflow, Python, Java ... Work Flexibility This role is eligible for full time remote work.

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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 Jul 19, 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.

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 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:
What cities near Baltimore, MD are hiring for Remote Machine Vision Engineer jobs? Cities near Baltimore, MD with the most Remote Machine Vision Engineer job openings:
Remote Machine Vision Engineer jobs near you
System Engineer - Machine Learning (ML) Integration and Optimization (AE2689523)

System Engineer - Machine Learning (ML) Integration and Optimization (AE2689523)

Advantage Engineering & IT Solutions Inc

Annapolis Junction, MD • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago

Job description

AEITS, Inc., a GTSC company, is growing its team! Seeking a System Engineer for Machine Learning (ML) Integration and Optimization to support our customer in the Annapolis Junction, MD area.

Location: Annapolis Junction, Maryland

All work is on-site. This is not a hybrid or remote position.

Mission: As a System Engineer for Machine Learning (ML) Integration and Optimization, you will be focused on testing the integration of GOTS/COTS Machine Learning models into FETS current product line. This position will be focused on quantitative and qualitative testing along with optimizing system performance. These efforts will require characterization of large data sets through some level of automation.

Requirements:

  • U.S. Citizenship
  • Active TS/SCI with polygraph
  • Fourteen (14) years of experience as a SE in programs and contracts of similar scope, type, and complexity is required.
  • Strong interpersonal, communications and writing skills.
  • Basic Linux skills required.

Desired Qualifications

  • Experience Testing Machine Learning Models.
  • Experience with Yolo
  • Experience with Python.
  • Experience with Wireshark or other protocol analyzer.
  • Knowledge of and experience with scripting languages to process automation.
  • Experience installing, monitoring, and optimizing Kubernetes clusters.
  • Familiarity / completion of Advanced Communications Signals Analysis Course (452), Intermediate Communications Signals Analysis Course (452).
  • Working knowledge of SONET/SDH/OTN, ETHERNET, PCM, VSAT, OSI Model and Computer to Computer (C2C) structure, and/or technologies/protocols such as: MPLS, VLAN, Pseudowire, TDMoIP, ATM, Frame Relay, Cisco, Nortel, TCP, UDP, VCAT, VOIP, VoFR and Voice/Video encoding.

You are responsible for:

  • Testing the integration of GOTS/COTS Machine Learning models into FETS current product line. This position will be focused on quantitative and qualitative testing along with optimizing system performance. These efforts will require characterization of large data sets through some level of automation.

BENEFITS - Full-time Employees

  • 401K with employer contribution. Fully vested at 1 year anniversary.
  • Five (5) weeks comprehensive annual leave (25 workdays).
  • Additional leave can be earned in lieu of overtime.
  • 11 Paid Federal Government Holidays.
  • Up to $5,000 annually for individually tailored education / training program.
  • All education plans must be pre-approved by Advantage Engineering management.
  • Life Insurance at 1x annual salary with employee option to purchase additional coverage for self and dependents.
  • Short-term and long-term disability.
  • We contribute a generous portion towards the cost of monthly medical plans for any of the three medical, 1 dental and 1 vision plan provided by CareFirst.
  • All employees are eligible to earn generous incentives and performance bonuses.

AEITS, a GTSC company, is proud to be an equal opportunity employer, committed to recruiting, hiring, and promoting qualified people of all backgrounds, regardless of sex, race, color, creed, national origin, religion, age, marital status, pregnancy, physical, mental or sensory disability; sexual orientation; gender identity or any other basis protected by federal, state or local law. Learn more about your EEO rights as an applicant.

GTSC is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. If you have a disability and require assistance with our online application process, please tell us how we can help by contacting us at Recruiting@GTSC.com

Note: This accessibility is intended for individuals requiring accommodation and should not be used to check the status of your application. Inquiries not specific to requesting accommodation will be discarded.

GTSC participates in the E-Verify program in all locations as required by law. Learn more about the E-Verify program.

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