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Remote Spatial Analysis Jobs in California (NOW HIRING)

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with single-cell and/or spatial sequencing analysis (e.g., Seurat, Scanpy) * Knowledge ... remote role. It can be performed effectively from anywhere while staying connected to your Insmed ...

In addition, the company is currently developing the G4Xโ„ข Spatial Sequencer, an upgrade to the G4 ... If remote, travel to the headquarters in San Diego, CA will be required at least quarterly.

In addition, the company is currently developing the G4Xโ„ข Spatial Sequencer, an upgrade to the G4 ... If remote, travel to the headquarters in San Diego, CA will be required at least quarterly.

Data Visualization Engineer

San Francisco, CA ยท On-site +1

  • Medical

  • Dental

  • Vision

  • PTO

We are looking for a spatial thinker with a passion for remote sensing analysis and visual communication to help us leverage Planet's platform and imagery products for external distribution. You will ...

AI Biologist - Proteomics

San Francisco, CA ยท On-site +1

$120K - $180K/yr

Latch is building intelligent, high-performance agents for biological data analysis, empowering ... Spatial proteomics * Clinical interpretation of proteomics data Requirements * 3+ years hands-on ...

AI Biologist - Biosurveillance

San Francisco, CA ยท On-site +1

$120K - $180K/yr

Host-response analysis using bulk RNA-seq, single-cell RNA-seq, spatial data, immune-receptor ... Remote (globally), hybrid, or onsite in SF (onsite preferred) * Work authorization: OPT visa ...

Computer Vision Engineer

San Francisco, CA ยท On-site +1

$141K - $184K/yr

  • Medical

  • Retirement

  • PTO

We are a team of more than 175 people working in a hybrid-remote environment across North America ... Scene understanding and spatial reasoning * Help implement and maintain machine learning and ...

Senior Designer

Los Angeles, CA ยท Remote

$109K - $117K/yr

Opportunity for fully remote available with occasional travel to job sites & critical meetings ... Analyze complex building and spatial concepts in both 2D and 3D, translating them into ...

Senior Software Engineer

Berkeley, CA ยท On-site +1

$150K - $250K/yr

... and spatial data structures - Constraint solving and optimization Simulation Integration ... Architected to support headless and remote. $150,000 - $250,000 a year We may use artificial ...

Senior Software Engineer

Berkeley, CA ยท On-site +1

$150K - $250K/yr

... and spatial data structures - Constraint solving and optimization Simulation Integration ... Architected to support headless and remote. We may use artificial intelligence (AI) tools to ...

Geospatial Technical Specialist

Riverside, CA ยท On-site +1

$83K - $166K/yr

  • Retirement

  • PTO

... analyses for biological and cultural resource assessments. This position is remote (with the ... Efficiently generate spatial calculations and package geospatial data for deliverable submissions ...

Staff, Data Scientist (Pricing)

Sunnyvale, CA ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid ... Perform elasticity analysis across large data sets and category segments to empower data-driven ...

Powered by Spatial AI, its image-first platform streamlines coordination between field and office ... To date, general contractors, trades, and owners have relied on OpenSpace to analyze imagery on ...

Showing results 21-40

Remote Spatial Analysis information

What is remote spatial analysis?

Remote spatial analysis refers to the process of examining and interpreting spatial data collected from a distance, often using technologies such as satellite imagery, aerial photography, and geographic information systems (GIS). Professionals in this field use specialized software to analyze patterns, changes, and relationships in the data to support decision-making in fields such as environmental science, urban planning, agriculture, and disaster management. Remote spatial analysis enables organizations to monitor large or inaccessible areas, identify trends, and make data-driven decisions without being physically present at the location of interest.

What are the key skills and qualifications needed to thrive as a remote spatial analyst?

To thrive as a Remote Spatial Analyst, you need a strong background in geography, GIS, remote sensing, and data analysis, often supported by a relevant degree. Proficiency with GIS software (like ArcGIS or QGIS), remote sensing platforms, and scripting languages such as Python or R is typically required. Analytical thinking, attention to detail, and effective communication are essential soft skills that set top performers apart. These competencies are critical for accurately interpreting spatial data, delivering actionable insights, and collaborating effectively with multidisciplinary teams.

What are some common challenges faced by professionals in remote spatial analysis roles, and how can they be addressed?

Remote spatial analysts often face challenges related to data accessibility, communication across distributed teams, and ensuring data security. Working with large geospatial datasets remotely can require advanced data management tools and reliable internet connections. Effective collaboration with colleagues in different locations is crucial, so leveraging cloud-based GIS platforms and regular virtual meetings can help maintain project momentum. Staying up to date with the latest remote sensing technologies and best practices also helps overcome technical obstacles and enhances productivity.

What is the difference between Remote Spatial Analysis vs Remote GIS Specialist?

AspectRemote Spatial AnalysisRemote GIS Specialist
CredentialsDegree in Geography, GIS, or related field; certifications like GISPSimilar credentials; often holds GIS certifications
Work EnvironmentData analysis, modeling, and interpretation primarily using GIS softwareData management, map creation, and spatial data handling
Industry UsageUsed across urban planning, environmental science, transportationCommon in government agencies, environmental firms, utilities
Search & Comparison IntentUnderstanding analysis techniques and data interpretationFocus on map creation and spatial data management

Remote Spatial Analysis involves analyzing spatial data to derive insights, often focusing on modeling and data interpretation. Remote GIS Specialist emphasizes managing spatial data, creating maps, and maintaining GIS databases. While both roles require similar credentials and work environments, their core tasks differ: analysis versus data management. Understanding these distinctions helps job seekers target the right roles in the GIS industry.

What are popular job titles related to Remote Spatial Analysis jobs in California?

For Remote Spatial Analysis jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Spatial Analysis jobs in California look for?

The top searched job categories for Remote Spatial Analysis jobs in California are:

What cities in California are hiring for Remote Spatial Analysis jobs?

Cities in California with the most Remote Spatial Analysis job openings:

Infographic showing various Remote Spatial Analysis job openings in California as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 13% Part Time, 2% Temporary, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Matterport - Lead Machine Learning R&D Engineer

CoStar Group

Sunnyvale, CA โ€ข Remote

$120K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Job description

Matterport - Lead Machine Learning R&D Engineer


Job Description


CoStar Group is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index, CoStar Group is on a mission to digitize the world's real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives.

We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We've continually refined, transformed, and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.

About Matterport:

Matterport is leading the digital transformation of the built world. Our groundbreaking spatial computing platform turns buildings into data making every space more valuable and accessible. Millions of buildings in more than 170 countries have been transformed into immersive Matterport digital twins to improve every part of the building lifecycle from planning, construction, and operations to documentation, appraisal, and marketing.

About the Role:

As a Lead Machine Learning R&D Engineer at Matterport, a part of CoStar Group, you will be at the forefront of innovating and advancing our spatial computing platform. You will play a critical role in researching, designing, and implementing cutting-edge machine learning algorithms and models that enhance our ability to digitize the built world, transform physical spaces into rich digital twins, extract valuable insights from them, and create delightful user experiences that make it easy for our customers to modify and interact with their digital twins. This role requires a deep understanding of ML principles, a passion for solving complex real-world problems in 3D data, computer vision, and a desire to contribute to a product that is revolutionizing how people interact with and understand real estate. You will work within a dynamic R&D environment, collaborating closely with fellow engineers, researchers, and product teams to translate groundbreaking ideas into tangible features that empower our users and expand the capabilities of our platform.

This is a remote position.

Responsibilities:

  • Conduct cutting-edge research in machine learning, computer vision, and 3D data processing to develop novel algorithms and models for spatial understanding and digital twin creation.
  • Design, implement, and optimize robust and scalable ML systems and pipelines for processing large-scale 3D datasets, including point clouds, meshes, and images.
  • Translate research prototypes into production-ready solutions, collaborating closely with engineering teams to integrate ML models into Matterport's core platform.
  • Evaluate and benchmark model performance, identify areas for improvement, and drive iterative enhancements to our ML capabilities.
  • Stay up-to-date with the latest advancements in ML research and industry trends, and proactively identify opportunities to apply new techniques to Matterport's challenges.
  • Collaborate with cross-functional teams including product managers, software engineers, and other researchers to define project requirements, explore technical feasibility, and deliver high-impact features.
  • Present research findings and technical solutions to internal teams and potentially the broader ML community.
  • Contribute to the architectural design and strategic roadmap of Matterport's ML systems and research initiatives.
  • Contribute to the intellectual property of Matterport through patents and publications.

Basic Qualifications:

  • Bachelor's Degree required from an accredited, not for profit university or college.
  • A track record of commitment to prior employers
  • 3+ years of experience in machine learning research and development, with a strong focus on computer vision, 3D data processing, or related areas.
  • Proficiency in Pytorch and strong programming skills in Python.
  • Solid understanding of machine learning fundamentals, including deep learning architectures (e.g., CNNs, Transformers), optimization techniques, and evaluation methodologies.
  • Experience with data manipulation and analysis libraries (e.g., NumPy, Pandas).
  • Demonstrated ability to conduct independent research, propose novel solutions, and implement them effectively.
  • Excellent problem-solving skills and the ability to work with complex, real-world datasets.
  • Strong verbal and written communication skills.

Preferred Qualifications & Skills:

  • Ph.D. or Masters Degree in Computer Science, Computer Vision, Machine Learning, Robotics, or a related quantitative field.
  • 5+ years of industry experience in applied machine learning research and development, particularly with shipping models to production.
  • Demonstrated expertise in one or more of the following areas: neural rendering (e.g., Gaussian splatting, NeRFs, large reconstruction models, world models), 3D computer vision (e.g., SLAM, 3D reconstruction, point cloud processing, mesh processing), image/video generation models, 2D/3D semantic understanding, depth estimation.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices.
  • Strong track record of publications in top-tier conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, SIGGRAPH) or significant contributions to open-source projects.
  • Experience mentoring junior engineers or leading technical projects.
  • Excellent communication skills, both written and verbal, with the ability to articulate complex technical concepts to a diverse audience.

Perks & Benefits:

When you join CoStar Group, you'll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed.

We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training and tuition reimbursement.

Our benefits package includes (but is not limited to):

  • Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
  • Life, legal, and supplementary insurance
  • Virtual and in person mental health counseling services for individuals and family
  • Commuter and parking benefits
  • 401(K) retirement plan with matching contributions
  • Employee stock purchase plan
  • Paid time off
  • Tuition reimbursement
  • On-site fitness center and/or reimbursed fitness center membership costs (location dependent)
  • Access to CoStar Group's Employee Resource Groups

Pay Transparency:

This position offers an annual pay range from $270,000 - $307,000 determined by relevant skills and experience, and a generous benefits plan.

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CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing