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Remote International Computer Engineer Jobs (NOW HIRING)

Amsted Rail Company

International Product Engineer

The International Product Engineer will review customer specifications and performance requirements ... Proficiency in 3D CAD modeling (especially PTC Creo or similar) with solid modeling and design ...

Textron

Autonomy AI/MI Engineer

Augusta, GA · Remote

Bachelor's degree in Software or Computer Engineer, Information Technology, or related field ... Employees who are working in remote roles will work primarily offsite (from home)

New

The Pennsylvania State University

$109K - $129K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... AND POSITION REQUIREMENTS The Penn State Engineering Librarylocatedin the ECoRE Building on the ...

Textron

Autonomy AI/MI Engineer

Augusta, GA · Remote

Bachelor's degree in Software or Computer Engineer, Information Technology, or related field ... Employees who are working in remote roles will work primarily offsite (from home)

New

Jobgether

You will also mentor engineers, contribute to pre-sales initiatives, and help shape solutions from technical discovery through delivery. Working in a fully remote, international environment, you will ...

EIS

HR People Partner

$68K - $77K/yr

Remote, United States of America Compensation: $68,250 - $77,900 / year Description We're seeking ... Manage US and CAD immigration cases with attorneys to support internal and international mobility ...

New

Modaxo, Inc.

Client Engineer

They provide technical assistance, including troubleshooting and developing upon the CAD/AVL ... Coordinate and conduct in person and remote (Zoom, Teams) customer meetings and training as needed.

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Remote International Computer Engineer information

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How much do remote international computer engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for remote international computer engineer in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What does a remote international computer engineer do?

A Remote International Computer Engineer designs, develops, and maintains computer systems and software while working from a location outside of a traditional office, often collaborating with teams and clients across different countries. Their work can include tasks like programming, troubleshooting network issues, implementing security measures, and integrating new technologies. Communication is typically done through digital channels, requiring strong technical and cross-cultural collaboration skills. This role enables companies to access global talent and allows engineers to work flexibly from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote international computer engineer?

To thrive as a Remote International Computer Engineer, you need strong programming abilities, a solid background in computer science or engineering, and experience with global software development practices. Familiarity with cloud platforms, version control systems like Git, and certifications such as AWS Certified Solutions Architect or CompTIA Network+ are commonly required. Excellent communication, cross-cultural collaboration, and self-motivation are essential soft skills for remote and international teamwork. These competencies ensure effective problem-solving, project delivery, and seamless cooperation across diverse and distributed teams.

How does working remotely as an international computer engineer impact collaboration with global teams?

As a remote international computer engineer, you'll frequently collaborate with colleagues across different time zones and cultures, which can be both rewarding and challenging. Clear communication, flexibility with meeting times, and proficiency with collaboration tools like Slack, GitHub, and Jira are essential for staying aligned with your team. You'll often participate in virtual stand-ups, code reviews, and project planning sessions, requiring strong self-management skills. While the remote environment offers autonomy, it also demands proactive engagement to ensure your contributions are visible and integrated into the team's workflows.
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Remote International Computer Engineer jobs near you
Infographic showing various Remote International Computer Engineer job openings in the United States as of August 2026, with employment types broken down into 9% Internship, 64% Full Time, 18% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Computational Biology MLOps Engineer (Remote)

Indianapolis, IN • Remote

Marlabs
IT Services • 1 - 5K employees
Learn more about Marlabsexternal

$114K - $134K/yr

Full-time

Re-posted 7 days ago

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Computational Biology MLOps Engineer to join our innovative and dynamic team.  

This role requires onsite work three (3) days per week in Indianapolis, IN or San Diego, CA. 

Computational Biology MLOps Engineer | About You 

As a Computational Biology MLOps Engineer, you are responsible for building and scaling the ML infrastructure that supports next generation in silico protein design and engineering. You bridge cutting edge AI research and production systems at the intersection of machine learning, computational biology, and high performance computing. You thrive in cross functional environments and partner closely with computational scientists and platform engineers to accelerate research velocity. You bring strong software, DevOps, and data engineering fundamentals with hands on experience across CI/CD, orchestration, and distributed training. Experience working with scientific or multimodal data and interest in protein language and generative models is a plus. 

Computational Biology MLOps Engineer | Day-to-Day 

  • Build and maintain ML infrastructure, including CI/CD pipelines (GitHub Actions) for model training, evaluation, and deployment. 
  • Orchestrate compute across Kubernetes clusters and SLURM and HPC environments to optimize utilization for large scale training. 
  • Develop robust and scalable data pipelines that deliver ML ready datasets from biological sources such as PDB and mmCIF files, sequence databases, and assay readouts. 
  • Create tools and frameworks that enable rapid iteration on protein language models, diffusion models, and other generative approaches. 
  • Architect systems that scale across distributed environments and support multimodal datasets for large foundational models. 
  • Implement monitoring, logging, and alerting to ensure reliability, performance, and cost efficiency of production ML systems. 

Computational Biology MLOps Engineer | Skills & Experience 

  • 5+ years of overall industry experience in software engineering, DevOps, data engineering, or ML engineering roles, including 3+ years of focused MLOps experience building and maintaining production grade ML infrastructure. 
  • Proven CI/CD expertise with GitHub Actions and strong DevOps practices including infrastructure as code, version control, and collaborative workflows. 
  • Hands on Kubernetes experience in deploying and managing containerized ML workloads with familiarity using container registries. 
  • Proficiency with SLURM or similar job schedulers in HPC environments and experience with distributed training optimization including mixed precision and checkpointing. 
  • Strong Python skills and experience with major ML frameworks including PyTorch, TensorFlow, or JAX. 
  • Experience building ETL processes and scalable data and feature pipelines and experience with cloud platforms such as AWS, GCP, or Azure. 
  • Preferred experience with scientific data, protein structure formats such as PDB and mmCIF, protein AI models including ESM, and agentic systems such as MCP, LangGraph, and LangChain.