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Localization Engineer Jobs in Michigan (NOW HIRING)

Senior ML Engineer - Mapping

Ann Arbor, MI ยท On-site

$102K - $140K/yr

Job Summary The Autonomy Mapping & Localization group's mission is to provide our vehicles with ... We are looking for a Senior ML Engineer to join our team and build the next generation of our ...

System Modeling & Integration Engineer

Troy, MI ยท On-site

$158K/yr

ADAS Algorithm Integration Engineer (IC Role) Why join Aptiv? You'll have the opportunity to work ... Integrate perception, fusion, localization, and planning algorithms into automotive ADAS platforms.

System Modeling & Integration Engineer

Troy, MI ยท On-site

$158K/yr

ADAS Algorithm Integration Engineer (IC Role) Why join Aptiv? You'll have the opportunity to work ... Integrate perception, fusion, localization, and planning algorithms into automotive ADAS platforms.

Development & Localization of high voltage (HV) battery pack or components for next gen electrified ... Bachelor of Science in Mechanical Engineering. * Experience of developing parts with suppliers ...

Software Engineer #1054833 Employee in this role perform following job duties, * Lead the end-to ... localization capabilities, and component interoperability. Drive the continuous improvement and ...

Machine Learning Engineer

Dearborn, MI

$105K - $126K/yr

... localization, natural language processing, and conversational AI. * They automate and optimize the ... Senior Engineer Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang.; guides. * 10+ years in IT ...

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Localization Engineer information

See Michigan salary details

$51.9K

$97.3K

$176.9K

How much do localization engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for localization engineer in Michigan is $97,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,200.00 and $115,500.00 per year, depending on experience, location, and employer.

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 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.

What job categories do people searching Localization Engineer jobs in Michigan look for? The top searched job categories for Localization Engineer jobs in Michigan are:
Infographic showing various Localization Engineer job openings in Michigan as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $97,298 per year, or $46.8 per hour.
Senior ML Engineer - Mapping

Senior ML Engineer - Mapping

May Mobility

Ann Arbor, MI โ€ข On-site

$102K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Job description

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.
Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 500,000 autonomous rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.
Job Summary
The Autonomy Mapping & Localization group's mission is to provide our vehicles with world-class spatial intelligence, semantic and topological mapping, and state estimation to model and navigate complex urban, suburban, and rural environments. We are looking for a Senior ML Engineer to join our team and build the next generation of our mapping and localization stack. As the Senior ML Engineer for Mapping, you will be at the forefront of this mission, building the production-grade semantic and topological foundation that allows our vehicles to understand and navigate the world's most challenging roads at scale.
Essential Responsibilities
  • Implement and optimize production-grade lane and route network mapping ML, ensuring high-performance integration with the broader autonomy system.
  • Research, train, and evaluate advanced neural architectures. This includes object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction to extract and model lane and route networks, alongside key semantic features (e.g., traffic signs, signals, and road markings), for automated mapping.
  • Participate in rigorous code reviews, automated testing, and technical resolution.
  • Develop data curation, auto-labeling, and active learning pipelines.
  • Develop evaluation scripts for lane and route network accuracy, and scaling across diverse Operational Design Domains (ODDs).
  • Collaborate with ML and Autonomy engineers to ensure the seamless deployment and validation of mapping features to the vehicle fleet.
Qualifications and Experience
Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:
Required
  • M.S. or Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or a related field with a strong mathematical and engineering foundation.
  • 5+ years of industry experience developing and deploying ML/DL models for mapping or computer vision at scale.
  • Deep expertise in several of the following areas:
    • Computer Vision Foundations: Object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction.
    • Lane-level topology and connectivity, intersection modeling, and lane/road network graph construction.
    • Vectorized mapping networks (e.g., MapTR), BEV-based scene representation, and temporal modeling.
    • Self-supervised/semi-supervised and vision/fusion Foundation Models.
  • Expertise in ML/DL development using PyTorch or TensorFlow, including experience with synthetic data generation, data curation, and model/algorithm evaluations.
  • Strong programming skills in Python and/or C++ with experience in modular software design and Linux-based development.
Desirable
  • Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field with a strong mathematical and engineering foundation.
  • Strong understanding of HD maps, including lane and road network geometry modeling, connectivity, and semantic attributes.
  • Experience with feature extraction and/or fusion from both street-level and overhead imagery.
  • Expertise in ML optimization for real-time products with limited compute, such as quantization and pruning of large transformer models.
  • A proven record of inventions and/or publication record at top-tier conferences (e.g., CVPR, NeurIPS, ICCV, ECCV, ICLR).
Physical Requirements
  • Standard office working conditions which includes but is not limited to:
    • Prolonged sitting
    • Prolonged standing
    • Prolonged computer use
  • Travel required? - Low: 5%-10%

Benefits and Perks
  • Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.
  • Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
  • Rich retirement benefits, including an immediately vested employer safe harbor match.
  • Generous paid parental leave as well as a phased return to work.
  • Flexible vacation policy in addition to paid company holidays.
  • Total Wellness Program providing numerous resources for overall wellbeing

Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.
Want to learn more about our culture & benefits? Check out our website!
May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.
Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.
Salary Range
$210,000-$250,000 USD
May Mobility uses automated tools to support - but not replace - human judgment in our recruiting process, to find out more please click here