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Remote Amazon Localization Jobs in California (NOW HIRING)

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Our Field Foundational Models set a new standard in perception, planning, localization, and ... Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option ... Our Field Foundational Models™ set a new standard in perception, planning, localization, and ...

All JobsRemote Amazon Localization JobsRemote Amazon Localization Jobs in California

Remote Amazon Localization information

What are the key skills and qualifications needed to thrive as a Remote Amazon Localization Specialist, and why are they important?

To thrive as a Remote Amazon Localization Specialist, you need strong language proficiency in at least two languages, attention to detail, and experience in translation or localization, often supported by a relevant degree. Familiarity with CAT tools, Amazon’s internal localization platforms, and project management systems is typically required. Excellent communication, cultural sensitivity, and time management are valuable soft skills that set high performers apart. These skills ensure accurate, culturally relevant translations that enhance the customer experience and support Amazon's global reach.

What are some common challenges faced by professionals working in Remote Amazon Localization, and how can they be addressed?

Professionals in Remote Amazon Localization often encounter challenges such as coordinating across different time zones, ensuring accurate cultural adaptation of content, and maintaining clear communication with global teams. To address these challenges, it's important to establish consistent communication routines, leverage collaborative tools, and stay updated on best practices in localization. Additionally, building strong relationships with both in-house teams and external vendors can help streamline workflows and improve the overall quality of localized content.

What is a Remote Amazon Localization job?

A Remote Amazon Localization job involves adapting Amazon’s content, products, and services to meet the language and cultural needs of different global markets. Employees in this role work remotely to translate, edit, and review product listings, marketing materials, and user interfaces, ensuring they are accurate and appropriate for the target audience. These professionals collaborate with various teams to maintain consistency and quality across languages, helping Amazon provide a seamless customer experience worldwide. Strong language skills, cultural awareness, and attention to detail are essential for success in this position.
What are the most commonly searched types of Amazon Localization jobs in California? The most popular types of Amazon Localization jobs in California are:
What are popular job titles related to Remote Amazon Localization jobs in California? For Remote Amazon Localization jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Localization jobs in California look for? The top searched job categories for Remote Amazon Localization jobs in California are:
What cities in California are hiring for Remote Amazon Localization jobs? Cities in California with the most Remote Amazon Localization job openings:
Remote Amazon Localization jobs near you
Infographic showing various Remote Amazon Localization job openings in California as of June 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 55% Full Time, 5% Part Time, 37% Contract, and 1% Nights. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution.

Senior Software Engineer, MLOps

FieldAI

Irvine, CA • On-site, Remote

$131K - $173K/yr

Full-time

Posted 11 days ago

Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this role, you will design and maintain the infrastructure and tooling that supports the full lifecycle of machine learning systems used in robotics applications. You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an exciting opportunity to help operationalize machine learning in real-world robotic systems within a fast-growing and dynamic environment.

What You Will Get To Do

  • Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data processing, training, evaluation, inference and deployment workflows.

  • Collaborate closely with robotics teams to implement model serving infrastructure for edge/robot deployment.

  • Build tools and automation to support reproducible experiments, model versioning, and dataset management.

  • Deploy and manage ML services and inference pipelines using containerized environments for efficient scaling and scheduling of heterogeneous compute resources.

  • Monitor model performance and system reliability across development and production environments.

  • Improve the efficiency, scalability, and reliability of ML workflows and infrastructure.

  • Work with cross-functional engineering teams to integrate ML components into robotics software systems.

What You Have

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).

  • 3-7 years of experience in MLOps, machine learning infrastructure, or related engineering roles.

  • Strong programming skills in Python or similar languages.

  • Experience building and maintaining machine learning pipelines.

  • Hands-on experience with cloud and cloud-native tools such as AWS (SageMaker, S3, or similar cloud ML services), Kubernetes etc.,

  • Solid understanding of Linux systems and distributed computing environments.

  • Experience with GPU workload scheduling and orchestration across multi-region cloud environments.

  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.

What Will Set You Apart

  • Experience deploying and operating ML systems for robotics or real-world physical systems.

  • Experience with scaling AI, ML, and inference workloads on Kubernetes.

  • Exposure to ROS-based robotics data formats and pipelines (rosbags, point clouds)

  • Experience with experiment tracking, model versioning, or dataset versioning tools.

  • Experience optimizing ML pipelines for large-scale training and data processing.

  • Experience working closely with research or applied machine learning teams.

Compensation and Benefits
Our salary range is competitive with the market, but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.
 
Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
 
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
 
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
 
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. 
 
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
 
 
 
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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