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Localization Engineer Jobs in Washington (NOW HIRING)

Robotics Engineer The Opportunity: Support the research and development of unmanned systems across ... localization, navigation, and behaviors in the air and ground domains * 3+ years ofexperiencein ...

Autonomy Engineer

Lorton, VA · On-site

$99K - $225K/yr

Autonomy Engineer Key Role: Conduct the research, development, integration, deployment, and ... localization and path planning for navigation * 2+ years of experience leading robotic software ...

Autonomy Engineer Key Role: Conduct the research, development, integration, deployment, and ... localization and path planning for navigation * 2+ years of experience leading robotic software ...

Microsoft has an exciting opportunity for a Software Engineer in the Cloud+AI Azure Data Team ... and defect localization of tests in the feature area. Builds testable code and considers ...

Autonomy Engineer

Lorton, VA · On-site

$99K - $225K/yr

... localization and path planning for navigation * 2+ years of experience leading robotic software ... Bachelor's degree in Software Engineering, Computer Engineering, Electrical Engineering, or ...

Autonomy Engineer

Lorton, VA · On-site

$77K - $176K/yr

You Have: * 1+ years of experience developing autonomy algorithms such as localization and path ... Bachelor's degree in Software Engineering, Computer Engineering, Electrical Engineering, or a ...

Autonomy Engineer

Lorton, VA · On-site

$99K - $225K/yr

Share Autonomy Engineer Key Role: Conduct the research, development, integration, deployment, and ... localization and path planning for navigation * 2+ years of experience leading robotic software ...

... and localization requirements • Building reporting and analytics pipelines that show whether ... BASIC QUALIFICATIONS - Bachelor's degree in Information Technology, Computer Science, Engineering ...

Bachelor's degree in Computer Science, Engineering, Management Information System, or another ... Oversee and support the localization of systems to multiple sites at the VA * This position may ...

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Showing results 1-20

Localization Engineer information

See Washington salary details

$67.4K

$126.4K

$229.9K

How much do localization engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for localization engineer in Washington is $126,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,200.00 and $150,100.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, and systems architecture can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. Roles often require advanced certifications, leadership responsibilities, and proficiency with complex tools and technologies.

What do localization engineers do?

Localization engineers develop and implement processes to adapt software, websites, and digital content for different languages and regions. They work with translation tools, manage internationalization efforts, and ensure that products function correctly across various locales, often collaborating with developers, translators, and project managers.

How to start a career in localization?

To start a career as a localization engineer, develop skills in programming, translation tools, and understanding of cultural nuances. Gaining experience with CAT tools, scripting, and quality assurance processes can be beneficial, along with relevant certifications or training in localization or software engineering. Entry-level roles often require a combination of technical knowledge and language proficiency.

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

To thrive as a Localization Engineer, you need a strong background in computer science, programming (such as Python, Java, or C++), and familiarity with globalization and localization processes. Experience with translation management systems (TMS), CAT tools, version control systems, and possibly certifications like SDL Trados or Agile methodologies is highly valued. Strong problem-solving, attention to detail, and cross-cultural communication skills help you excel when collaborating with global teams. These qualifications are critical for ensuring software and content are accurately adapted for diverse international markets while maintaining functionality and quality.

What jobs in the US pay 300,000 a year?

In the US, high-paying roles such as senior software engineers, IT directors, and specialized medical professionals can earn $300,000 or more annually. These positions often require advanced skills, extensive experience, and relevant certifications, and may involve leadership responsibilities or working in competitive industries.

What are the typical daily responsibilities of a Localization Engineer?

As a Localization Engineer, your daily tasks often include analyzing and preparing files for translation, maintaining localization workflows, troubleshooting technical issues related to software internationalization, and collaborating with translators, developers, and project managers. You may also be responsible for automating processes to improve efficiency and ensuring that localized products meet quality standards in various languages. Regular communication with cross-functional teams is crucial to resolve technical challenges and align on project goals. This role is both technical and collaborative, offering variety and requiring continual learning as new tools and platforms emerge.

What does a Localization Engineer do?

A Localization Engineer is responsible for preparing, managing, and optimizing content for translation and localization. They work with tools like CAT (Computer-Assisted Translation) software, scripts, and automation to ensure content is accurately adapted for different languages and regions. Their role includes file preparation, bug fixing, integration of localized assets, and troubleshooting technical issues in the localization process. They collaborate with linguists, project managers, and developers to streamline workflows and ensure a smooth translation process.

Infographic showing various Localization Engineer job openings in Washington as of June 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $126,434 per year, or $60.8 per hour.
Machine Learning Engineer with Security Clearance

Machine Learning Engineer with Security Clearance

Mount Indie, LLC

Reston, VA • On-site

Other

Posted 8 days ago


Job description

Mount Indie is looking for a Machine Learning (ML) Engineer with documented expertise to be responsible for researching, developing, architecting, and integrating ML models, algorithms, tools, and techniques into existing or new environments. A candidate who has experience analyzing large datasets with preprocessing data skills, data cleansing, and conducting data integrity and validation actions. A candidate who will design, develop, and integrate ML models and algorithms to address specific problems with detection of AI-generated and manipulated imagery, or introduction of pattern recognition for imagery.

Successful candidates for this role must have critical thinking skills, be creative, curious, resourceful, and have a passion for conveying a wide range of information through research leading to deeper insights. The candidate may work independently but participate in project-wide reviews of requirements, system architecture, and detailed design documents. An ML Engineer must be able to collaborate well with a strong lean-forward attitude to shift knowledge left, deliver well, and produce quality results.

The selected candidate will play a critical role in bridging research and operations, integrating advanced algorithms into operational workflows. * Integrate and operationalize machine learning and computer vision models developed by research partners * Apply algorithms to datasets and generate results aligned with project requirements * Evaluate model performance using metrics such as accuracy, precision, recall, ROC/AUC, and localization quality * Adapt and optimize models for real-world conditions (compression, noise, format variability) * Work with containerized solutions (Docker or similar) to support deployment and reproducibility * Translate research concepts, theory, and technical reports into practical implementations and workflows * Generate technical reports, visualizations, and summaries suitable for stakeholders * Collaborate with internal teams and external partners to support integration and testing * Participate in technical meetings and reviews within secure environments. Candidates must have a complete understanding and wide application of technical principles, theories and concepts.

Working under only general direction, provides technical solutions to a wide range of difficult problems. Independently determines and develops approach to solutions. Required Skills: Clearance Level: TS/SCI US Citizenship: Required * Years of Experience: 5-7 Years relevant data science experience * Education Level: Bachelor degree or Master's degree is required in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.

* 3+ years of experience in machine learning / computer vision / data science * Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow) * Experience working with image and/or video data * Ability to understand and implement research-level algorithms from technical papers and reports * Experience with model evaluation, validation, and performance analysis * Familiarity with Linux-based environments and version control systems (e.g., Git) Desired Skills: * Experience with image forensics, alteration detection, or related analytics * Experience working in classified environments * Familiarity with containerization (Docker) and deployment pipelines * Experience handling large-scale or multi-format datasets (JPG, WEBP, MP4, AVI) * Knowledge of synthetic data generation or explainable AI * Ability to bridge theory and implementation * Strong problem-solving and analytical skills * Effective communication with both technical and non-technical stakeholders * Comfortable working in structured, mission-driven environments Relevant Certifications: * Certifications in machine learning, data science, or related fields (e.g., TensorFlow Developer Certificate, AWS Certified Machine Learning Specialty, IBM Machine Learning Professional Certificate, Google Professional Machine Learning Engineer Certification, IABAC: Certified Machine Learning Expert Certification, etc.