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Remote Mapping Engineer Jobs in California (NOW HIRING)

Waymo

Machine Learning Engineer - Mapping

Mountain View, CA · On-site +1

$204K - $259K/yr

... remote, the specific salary range for your preferred location, during the hiring process. Waymo ... Engineering and Information Technology Industries Technology, Information and Internet #J-18808 ...

Medtronic

EP Mapping Specialist - CAS

Los Angeles, CA · On-site +1

While this is a remote position not located at a physical Medtronic site, the candidate hired will ... In this dynamic role, you'll work alongside a collaborative team of clinicians, engineers ...

AccelerateHC

Data Migration Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

The company is fully remote across the US and Canada and operates with a transparent salary ... The engineer works from business context and mapping rules defined by a customer-facing migration ...

GMV

Full Stack Software Engineer - Remote

Los Angeles, CA · On-site +1

$140K - $160K/yr

Full Stack Software Engineer US Remote Offices in LosAngeles & Houston Mid-Level Role (5+ years of ... We have relationships with Apple Maps, Google Maps, Transit app, and our work goes out to millions ...

General Motors

Senior Mobile iOS Engineer

Sunnyvale, CA · On-site +1

$164K/yr

Hybrid/Remote/Onsite Hybrid: This role is categorized as hybrid. This means the successful ... Experience with Bluetooth (BLE) and Maps SDKs (e.g., Google Maps, Apple Maps, or similar)

Brightback

Senior Backend Software Engineer

San Francisco, CA · On-site +1

$144K - $190K/yr

Company Description Brightback is a remote-first company that helps consumer subscription and ... AWS solutions, event driven systems, map reduce, OLAP, Postgres, experience in enterprise SaaS ...

WorkOS

Product Engineer - Enterprise

San Francisco, CA · On-site +1

Map evolving technical risks/limitations to drive technical roadmap in collaboration with other ... We offer parental leave, paid-time off and fully remote working arrangements. * Competitive pay

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Remote Mapping Engineer information

What are some common challenges a Remote Mapping Engineer may face when collaborating with distributed teams?

Remote Mapping Engineers often work with global teams across different time zones, which can make real-time collaboration and communication challenging. It's important to establish clear channels for sharing data, updates, and feedback to ensure mapping projects stay on track. Additionally, ensuring data consistency and coordinating version control among team members requires strong organizational skills and attention to detail. Using collaborative mapping platforms and regular virtual meetings can help address these challenges and foster effective teamwork.

What are the key skills and qualifications needed to thrive as a Remote Mapping Engineer, and why are they important?

To thrive as a Remote Mapping Engineer, you need expertise in geospatial analysis, cartography, and GIS technologies, usually supported by a degree in geography, engineering, or a related field. Familiarity with software like ArcGIS, QGIS, remote sensing tools, and potentially certifications such as GISP or Esri technical certifications is typical. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data and collaborate with stakeholders. These skills are crucial for producing accurate maps and spatial data, which support critical decision-making in diverse industries.

What are Remote Mapping Engineers?

Remote Mapping Engineers are professionals who design, develop, and maintain digital maps and geospatial data from remote locations. They use specialized software and geographic information systems (GIS) to analyze spatial data, create accurate maps, and support projects in industries like urban planning, transportation, and environmental science. These engineers often work with satellite imagery, aerial photography, and other remote sensing data to provide mapping solutions without needing to be physically present at the project site. Their work is essential for organizations that require up-to-date mapping information for decision-making and planning.
What are the most commonly searched types of Mapping Engineer jobs in California? The most popular types of Mapping Engineer jobs in California are:
What cities in California are hiring for Remote Mapping Engineer jobs? Cities in California with the most Remote Mapping Engineer job openings:
Remote Mapping Engineer jobs near you
Machine Learning Engineer - Mapping

Machine Learning Engineer - Mapping

Waymo

Mountain View, CA • On-site, Remote

$204K - $259K/yr

Full-time

Re-posted 8 days ago

Job description

Get AI-powered advice on this job and more exclusive features.

Waymo is an autonomous driving technology company with the mission to be the world’s most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—the World’s Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Waymo Mapping team’s goal is to build a high resolution map of the world to support safe autonomous driving. We work on creating the map using a combination of automatic and manual techniques and build the infrastructure to store, process, and distribute the map. Our team collaborates with several other Waymo teams that consume map data.

In This Role, You Will
  • Design, train, and deploy machine learning models to automate the creation of Waymo’s HD maps, unlocking scale for the Waymo Driver.
  • Apply and advance state-of-the-art ML techniques, including Vision-Language Models (VLMs) and other Generative AI approaches, to pioneer new solutions in mapping automation.
  • Own the complete model development lifecycle, from data mining and processing to model training, evaluation, validation, and productionization.
  • Collaborate closely with partner ML teams, such as Waymo Perception and Waymo AI Foundations, to adapt cutting-edge research into scalable, reliable, and production-grade solutions.
You Have
  • 4+ years of hands-on experience in Machine Learning, with a strong focus on computer vision and/or deep learning.
  • Proficiency in at least one major deep learning framework (e.g., TensorFlow, PyTorch, JAX).
  • Demonstrated experience owning problems end-to-end and working across various parts of the systems stack to deliver results.
  • B.S. in Computer Science, a similar technical field, or equivalent practical experience.
It’s a Bonus If You Have
  • M.S. or Ph.D. degree in Computer Science or a related discipline.
  • Familiarity with foundation models and techniques for model adaptation (e.g., few-shot learning, transfer learning, domain adaptation).
  • A track record of publications in top-tier ML/CV conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ECCV).
  • Experience with C++.
  • Direct experience with mapping or GIS is a bonus but not required.

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range
$204,000—$259,000 USD

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Technology, Information and Internet

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