2

Remote Computer Engineer Jobs in Columbia, MD (NOW HIRING)

Remote Support Engineer, Junior Category: Service Desk / End User Services Main location: United ... Strong troubleshooting skills, understanding of computer hardware and software, networking basics ...

Backend / API Engineer

Bethesda, MD ยท Remote

$68K - $141K/yr

We are currently seeking a Backend / API Engineer to join our team in Bethesda (REMOTE), Maryland ... Computer Science, Information Technology, or Information Systems) * Minimum 3 years of experience ...

Staff Performance Software Engineer

Baltimore, MD ยท On-site +1

$200K - $300K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent ...

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent ...

next page

Showing results 1-20

People also search for

Remote Computer Engineer information

See Columbia, MD salary details

$48.1K

$120.6K

$136.5K

How much do remote computer engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for remote computer engineer in Columbia, MD is $120,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,700.00 and $130,500.00 per year, depending on experience, location, and employer.

Can a computer engineer work remotely?

Yes, many computer engineering roles can be performed remotely, especially those involving software development, system design, and troubleshooting. Remote work often requires strong communication skills, familiarity with collaboration tools, and sometimes specific certifications or security clearances depending on the job.

What are some common challenges faced by remote computer engineers, and how can they be overcome?

Remote computer engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with colleagues, and staying motivated without direct in-person supervision. Overcoming these challenges typically involves proactive scheduling, frequent updates via team messaging tools, and focusing on structured routines to manage tasks independently. Many companies also offer virtual stand-ups, regular check-ins, and supportive remote work cultures to foster connection and keep team members engaged. With the right strategies and tools, remote engineers can collaborate effectively and thrive in their roles.

What is a Remote Computer Engineer job?

A Remote Computer Engineer is a professional who designs, develops, tests, and maintains computer systems and software while working remotely. They may specialize in areas such as software development, network engineering, cybersecurity, or cloud computing. These engineers collaborate with teams using online tools, troubleshoot technical issues, and ensure systems run efficiently. Remote work allows flexibility but requires strong communication skills and self-discipline. Many companies hire remote computer engineers to reduce costs and access global talent.

How to make 2000 a week working from home?

A remote computer engineer can earn $2,000 a week by taking on high-paying freelance projects, consulting roles, or contract work that leverage specialized skills such as programming, network security, or system architecture. Building a strong portfolio, obtaining relevant certifications, and using platforms like Upwork or Toptal can help access higher-paying opportunities. Consistent work, advanced skills, and efficient time management are key to reaching this income level.

How to make $100,000 a year working from home?

A remote computer engineer can reach a $100,000 annual salary by gaining specialized skills in high-demand areas such as cybersecurity, cloud computing, or software development, and obtaining relevant certifications like CISSP or AWS Certified Solutions Architect. Building a strong portfolio, gaining experience, and working for companies that offer remote roles with competitive pay are also key factors.

What engineers make $500,000?

Senior computer engineers, especially those in specialized fields like software architecture, machine learning, or cybersecurity, can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. High compensation typically requires extensive experience, advanced skills, and work at large tech companies or startups with significant funding.

What are the key skills and qualifications needed to thrive in the Remote Computer Engineer position, and why are they important?

To thrive as a Remote Computer Engineer, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Experience with collaboration platforms (like Git, Jira, or Slack), cloud technologies, and relevant certifications such as AWS or CompTIA Network+ is often required. Excellent time management, self-motivation, and written communication skills are crucial for successful remote work. These qualities enable consistent productivity, seamless teamwork, and effective project delivery in a decentralized environment.

What are the most commonly searched types of Computer Engineer jobs in Columbia, MD? The most popular types of Computer Engineer jobs in Columbia, MD are:
What job categories do people searching Remote Computer Engineer jobs in Columbia, MD look for? The top searched job categories for Remote Computer Engineer jobs in Columbia, MD are:
What cities near Columbia, MD are hiring for Remote Computer Engineer jobs? Cities near Columbia, MD with the most Remote Computer Engineer job openings:
AI/Machine Learning Engineer

AI/Machine Learning Engineer

Initiate Government Solutions

Washington, DC โ€ข Remote

$129K - $155K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Description

Founded in 2007, Initiate Government Solutions (IGS) is a Woman-Owned Small Business and a fully remote IT services provider supporting federal partners nationwide. We deliver innovative Enterprise IT and Health Services solutions with a strong focus on data analytics, health informatics, cloud migration, AI, and the modernization of federal information systems.


Our vision is to be a health IT trendsetter, continuing to solve the nation's most challenging healthcare IT issues by conceiving, designing, and building solid, creative, and innovative open-source solutions.ย 


Our mission is to innovate, design, and deliver tailored solutions that balance technical advancement with cost-awareness while providing exceptional service.


IGS is currently pipelining for a remote AI/Machine Learning Engineer to support our work within the federal healthcare industry.ย  Candidates will be contacted as opportunities become available for further consideration.ย 


Assignment of Work and Travel:

This is a remote access assignment. The Candidate will work remotely daily and will remotely access VA systems and therein use approved VA provided communications systems. Travel is not required; however, the candidate may be required to attend onsite client meetings as requested.


The AI/Machine Learning Engineer will work alongside a team of highly skilled developers and engineers in the development of AI applications. A motivated and qualified candidate will not only have hands-on development experience in (JavaScript, Python or Java) but also a willingness to collaborate with teams to solve problems. Together we're accelerating our client's digital transformation through the building and deployment of data-driven, scalable AI solutions.


Responsibilities and Duties (Included but not limited to):

  • Design, develop, and deploy machine learning and deep learning models to support clinical decision-making, predictive analytics, and health outcomes research.
  • Fine-tune models for high performance using healthcare-specific data, including EHRs, claims, imaging, and structured/unstructured text.
  • Collaborate with data engineers to clean, preprocess, and normalize healthcare data in compliance with federal data standards (e.g., HL7, FHIR).
  • Build scalable ML pipelines that integrate with federal data platforms and cloud services (e.g., VA's Lighthouse API, Azure Government, AWS GovCloud).
  • Ensure AI/ML solutions meet federal regulations, including HIPAA, FISMA, FedRAMP, and VA Information Security requirements.
  • Implement differential privacy, encryption, and access controls to safeguard sensitive health data.
  • Contribute to the development of governance frameworks to ensure transparent, explainable, and bias-mitigated models.
  • Document model lifecycle, from training to deployment, including risk assessments, validation reports, and audit trails.
  • Work cross-functionally with program managers, clinicians, data scientists, and software developers to identify opportunities for AI/ML applications that improve healthcare delivery and veteran outcomes.
  • Present complex machine learning findings in a way that is actionable and aligned with federal healthcare program goals.
  • Stay updated on the latest developments in AI/ML applications for public health and healthcare operations.
  • Prototype and test emerging AI technologies (e.g., NLP for clinical text, computer vision for imaging diagnostics) for possible integration into government systems.
  • Monitor deployed models for drift, accuracy, and operational effectiveness over time.
  • Maintain model retraining schedules based on new data inputs or policy changes.
  • Prepare comprehensive documentation and reports for internal stakeholders and external oversight (e.g., OMB, GAO, IG audits).
  • Develop dashboards and visualizations to track performance metrics, patient outcomes, and utilization trends impacted by AI/ML tools.ย 

Requirements

  • Bachelor's degree or higher in one of the following disciplines, Computer Science, Data Science, Artificial Intelligence / Machine Learning, Mathematics / Statistics, Biomedical Engineering, Health Informatics, Electrical or Computer Engineering
  • 4+ years of experience in software and machine learning engineering.
  • Strong knowledge of natural language processing (NLP) and transformer models.
  • 5+ years proficiency in Python and hands-on experience with ML libraries like TensorFlow, PyTorch, or Hugging Face Transformers.
  • Proven experience building scalable, cloud-based AI/ML solutions and enhancing custom question answering mapping/workflows.
  • Expertise in the full ML pipeline, including data processing, model training, serving, and monitoring.
  • Knowledge of NLP architectural strategies such as Retrieval-Augmented Generation, Knowledge Graphs, and Agentic Graphs.
  • Expertise in MLOps best practices, including Infrastructure as Code (IaC), CI/CD pipelines tailored for ML workflows, model version control, and real-time performance monitoring to ensure scalable and reliable AI/ML systems.
  • Familiarity with federal AI governance frameworks and compliance standards (e.g., NIST AI RMF, FedRAMP) is a plus.
  • Passion for developing team-oriented solutions to complex engineering problemsย 
  • Excellent communication skills and attention to detail
  • Analytical mind and problem-solving aptitude
  • Ability to obtain and maintain a Public Trust
  • Strong organizational skills

Preferred Qualifications and Core Competencies:

  • Master's degree in one of the above-mentioned fields
  • Preferred Tools & Environments: Python, R, TensorFlow, PyTorch, Scikit-learn, AWS (SageMaker), Azure ML, Databricks, Apache Spark, Power BI, Tableau, Plotly, Git, GitHub/GitLab
  • Active VA Public Trust
  • Prior experience supporting a VA program
  • Prior, successful experience working in a remote environment

Successful IGS employees embody the following Core Values:

  • Integrity, Honesty, and Ethics: We conduct our business with the highest level of ethics. Doing things like being accountable for mistakes, accepting helpful criticism, and following through on commitments to ourselves, each other, and our customers.ย 
  • Empathy, Emotional Intelligence: How we interact with others including peers, colleagues, stakeholders, and customers' matters. We take collective responsibility to create an environment where colleagues and customers feel valued, included, and respected. We work within a diverse, integrated, and collaborative team to drive towards accomplishing the larger mission. We conscientiously and meticulously learn about our customers' and end-users' business drivers and challenges to ensure solutions meet not only technical needs but also support their mission.
  • Strong Work Ethic (Reliability, Dedication, Productivity): We are driven by a strong, self-motivated, and results-driven work ethic. We are reliable, accountable, proactive, and tenacious and will do what it takes to get the job done.ย 
  • Life-Long Learner (Curious, Perspective, Goal Oriented): We challenge ourselves to continually learn and improve ourselves. We strive to be an expert in our field, continuously honing our craft, and finding solutions where others see problems.

Compensation: There are a host of factors that can influence final salary, including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications.


Benefits: Initiate Government Solutions offers competitive compensation and a robust benefits package, including comprehensive medical, dental, and vision care, matching 401K and profit sharing, paid time off, training time for personal development, flexible spending accounts, employer-paid life insurance, employer-paid short and long term disability coverage, an education assistance program with potential merit increases for obtaining a work-related certification, employee recognition, and referral programs, spot bonuses, and other benefits that help provide financial protection for the employee and their family.


Initiate Government Solutions participates in the Electronic Employment Verification Program.ย