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Remote Machine Vision Engineer Jobs in Baltimore, MD

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 ...

Allovue

Software Engineer (Remote)

Baltimore, MD · Remote

Ansible Your Role Allovue is looking for engineers that display a love of their craft and are ... Comprehensive medical, dental, and vision coverage * Employee-friendly option plans * Up to 4% 401K ...

GrammaTech, Inc.

Senior Data Science Engineer

Laurel, MD · Remote

$180K - $220K/yr

Research, evaluate, and prototype machine learning and AI solutions to support compliance ... We offer a generous benefits package that includes medical, dental, vision, short- and long-term ...

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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 Jul 20, 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
Systems Engineer, Senior

Systems Engineer, Senior

Booz Allen Hamilton, Inc.

Fort George G Meade, MD • On-site, Remote

$86K - $198K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 18 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants

Job description


Remote Work:
No
Job Number:
R0243591
Location:
Fort Meade,MD,US
Share job via:
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Systems Engineer, Senior
The Opportunity:
Are you looking for an opportunity to combine your technical skills with big picture thinking to make an impact on national security? You understand your customer's environment and how to develop the right systems for their mission. Your ability to translate real-world needs into technical specifications makes you an integral part of delivering a customer-focused engineering solution.
Your customer will trust you to not only design and develop these systems, but also evolve them with advanced technology solutions.
Join us. The world can't wait.
You Have:
  • Experience with protocol analysis using protocol analyzers such as DVT or Wireshark
  • Experience with scripting languages or Java development to enable process automation
  • Experience using Linux
  • Experience installing, monitoring, and optimizing Kubernetes clusters
  • Knowledge of ETHERNET, PCM, VSAT, OSI Model and Computer to Computer (C2C) structure, or technologies or protocols such as MPLS, VLAN, Pseudowire, TDMoIP, ATM, Frame Relay, TCP, UDP, VCAT, MLPPP, VOIP, VoFR, and voice or video encoding or transcoding
  • TS/SCI clearance with a polygraph
  • Bachelor's degree in System Engineering, CS, Information Systems, Engineering Science, or Engineering Management and 14+ years of experience as a systems engineer, or 19+ years of experience as a systems engineer in lieu of a degree
  • Completion of the Navy's Intermediate Communications Signals Analysis Course and Advanced Communications Signals Analysis Course

Nice If You Have:
  • Experience performing quantitative and qualitative testing and optimization of machine learning models
  • Knowledge of wireless networks such as 2G, 3G, 4G, or 5G

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,900.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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