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Remote Google Earth Engine Developer Jobs in Pasadena, CA

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure ...

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... DevOps, and JIRA . * Assess AI agents and workplace connectors across tools such as Slack, Google ...

Earth City, Missouri, United States Job ID: R0136030 Date Posted: 2026-07-13 Company Name: HITACHI ENERGY USA INC Profession (Job Category): Engineering & Science Job Schedule: Full time Remote: Yes ...

Secret Level is building Liquid Engine, a next-generation platform for AI-driven content creation ... Kling, Google Veo, Seedance, Higgsfield, and Nano Banana * Translate creative direction into ...

Senior Tools Engineer

Los Angeles, CA ยท On-site +1

$112K - $154K/yr

Our client is looking for a Tools Programmer to join their fully remote team to build next ... Develop and maintain tools for terrain and graphics within our game engine. Ensure that our terrain ...

Head of Engineering - Remote

Santa Monica, CA ยท Remote

$180K - $225K/yr

CONFIDENTIAL SEARCH Head of Engineering Full-Time | Remote | Light Travel (~5%) About Our Client ... recommendation-engine, matching-system, or behavioral-modeling context. l Comfort working with ...

Showing results 21-40

Remote Google Earth Engine Developer information

See Pasadena, CA salary details

$42

$65

$83

How much do remote google earth engine developer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote google earth engine developer in Pasadena, CA is $65.76, according to ZipRecruiter salary data. Most workers in this role earn between $60.82 and $73.41 per hour, depending on experience, location, and employer.

What is the difference between Remote Google Earth Engine Developer vs Remote GIS Analyst?

AspectRemote Google Earth Engine DeveloperRemote GIS Analyst
Required CredentialsDegree in GIS, Geography, Computer Science; experience with Google Earth EngineDegree in GIS, Geography, Environmental Science; proficiency in GIS software
Work EnvironmentRemote, often collaborative with developers and data scientistsRemote, often analytical and reporting-focused
Industry UsageEnvironmental monitoring, climate analysis, remote sensing projectsUrban planning, resource management, spatial data analysis
Search & Comparison IntentTechnical, development-focused roles involving coding and data processingData analysis, mapping, and reporting roles using GIS tools

The main difference is that Remote Google Earth Engine Developers focus on coding and developing applications using Google Earth Engine for remote sensing data, while Remote GIS Analysts primarily analyze spatial data and generate reports using GIS software. Both roles require GIS knowledge but differ in technical depth and project focus.

What are popular job titles related to Remote Google Earth Engine Developer jobs in Pasadena, CA?

For Remote Google Earth Engine Developer jobs in Pasadena, CA, the most frequently searched job titles are:

What job categories do people searching Remote Google Earth Engine Developer jobs in Pasadena, CA look for?

The top searched job categories for Remote Google Earth Engine Developer jobs in Pasadena, CA are:

What cities near Pasadena, CA are hiring for Remote Google Earth Engine Developer jobs?

Cities near Pasadena, CA with the most Remote Google Earth Engine Developer job openings:

Mental Health Expert - Remote

YO AI Labs

Los Angeles, CA โ€ข Remote

$200 - $350/hr

Full-time

Posted 5 days ago


Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.