Pixxel
AI Scientist - Geospatial & Multimodal Intelligence (US)
Pixxel, Los Angeles, California, United States, 90079
Role : AI Scientist - Geospatial & Multimodal Intelligence (US)
Employment Type:
Full Time
Eligibility: US Citizenship is mandatory
Educational Qualification: Advanced degree (M.S. or Ph.D.) in Computer Science, Remote Sensing, Geoinformatics, or a related field.
Work Experience : 4+ yrs of relevant experience.
Role Description : We are seeking a Geospatial AI Scientist to join our Analytics team. This role focuses on developing state-of-the-art machine learning and deep learning models that harness Pixxel's high-resolution hyperspectral satellite data and allied geospatial modalities. You will play a key role in creating scalable environmental intelligence tools by leveraging foundation models, multimodal fusion, and advanced AI techniques, and working closely with cross-functional teams.
Responsibilities & Duties : Design and implement geospatial AI models for applications such as crop classification, yield forecasting, water quality retrieval, and emissions detection. Contribute to the design and fine-tuning of large-scale geospatial foundation models for remote sensing tasks using self-supervised and transfer learning approaches. Develop multimodal architectures that integrate hyperspectral, SAR, weather, and ground-based data sources. Adapt models pretrained on well-labeled regions for use in label-scarce environments via transfer learning and domain adaptation. Incorporate scientific or physical priors into AI models (e.g., radiative transfer, crop phenology). Collaborate with data engineers and product managers to deploy models into scalable pipelines. Publish technical findings and contribute to thought leadership in geospatial AI. Desirable Skills & Certifications:
Proven experience in geospatial machine learning, including time-series analysis, land cover classification, or climate/environmental modeling. Strong programming skills in Python, with knowledge of ML libraries (PyTorch, TensorFlow, scikit-learn). Familiarity with geospatial foundation models (e.g., Prithvi, SatMAE, Segment Anything, ViTs trained on EO data). Experience with Earth observation tools and libraries such as Rasterio, xarray, PyProj, or STAC. Comfortable working with large-scale datasets and cloud-based geospatial processing. Experience with hyperspectral, multispectral, or SAR satellite imagery. Familiarity with cloud-based EO platforms like Google Earth Engine, SentinelHub, or OpenEO. Experience building or fine-tuning self-supervised or foundation models in a geospatial context. Demonstrated ability to fuse EO imagery with climate, terrain, or in-situ sensor data. Track record of publications or contributions to the remote sensing or AI research community.
Candidate Acumen : The candidate should have strong expertise in deep learning and geospatial analytics, with hands-on experience in building scalable AI models using satellite or hyperspectral data. Proven ability to work on foundation models, multimodal fusion, and environmental intelligence applications is highly desirable.
Benefits:
Health insurance coverage
Unlimited leaves & flexible working hours
Role-based remote work and work-from-home benefit
Relocation assistance
Professional Mental Wellness services
Creche facility for primary caregivers (limited to India)
Employee Stock Options for all hires
About Pixxel
Pixxel is a space data company and spacecraft manufacturer redefining Earth observation with hyperspectral imaging. The company's first three commercial hyperspectral satellites-Fireflies-deliver imagery at 5-meter resolution and 135+ spectral bands, providing 50x richer detail than traditional Earth observation systems and unlocking insights across agriculture, climate, energy, environment, and more.
Once fully deployed, Pixxel's constellation of 18-24 satellites will capture imagery across up to 250 bands in VNIR and SWIR ranges, with a 40 km swath and daily global revisit capability. Pixxel's most unique strength is its full-stack approach, integrating every layer of the value chain from satellite hardware and manufacturing to AI-powered analytics.
Pixxel's satellite constellation is complemented by Aurora, its in-house Earth Observation Studio that simplifies satellite imagery analysis and democratises remote sensing for all. Designed to make hyperspectral data more accessible, Aurora by Pixxel combines high-frequency imagery with AI-powered tools to generate actionable insights, even for users without technical backgrounds. The third pillar of Pixxel's ecosystem is its in-house satellite manufacturing capability. Beyond building its own spacecraft, Pixxel also provides satellite systems and subsystems to other organisations. This dual capacity sets it apart in a sector where most companies focus on either payload design or data operations, but not both.
Pixxel's team is young but deeply mission-aligned, with a culture rooted in curiosity, speed, and long-term thinking. As the company grows its constellation and expands Aurora, the focus remains on making space-based insights practical, scalable, and genuinely helpful so that the health of the planet becomes measurable and action becomes possible.
Pixxel was the only Indian startup selected for the Techstars Starburst Space Accelerator in Los Angeles and has been recognised in TIME's Best Inventions of 2023, Fast Company's Most Innovative Companies, and Via Satellite's Top Innovators list.
For more information, see our Careers page or follow Pixxel on LinkedIn and X/Twitter.
Culture
Pixxel is an organization where we enable our employees to work on world-changing problems that they are passionate about, and a place where they can be their best selves day in and day out while ensuring they have fun every day.
Central to our employee-first ethos is a commitment to ensuring that every team member feels valued and heard. We nurture a healthy and supportive work environment where we prioritise well-being and growth in all aspects of life
Link to Pixxel in Media
Employment Type:
Full Time
Eligibility: US Citizenship is mandatory
Educational Qualification: Advanced degree (M.S. or Ph.D.) in Computer Science, Remote Sensing, Geoinformatics, or a related field.
Work Experience : 4+ yrs of relevant experience.
Role Description : We are seeking a Geospatial AI Scientist to join our Analytics team. This role focuses on developing state-of-the-art machine learning and deep learning models that harness Pixxel's high-resolution hyperspectral satellite data and allied geospatial modalities. You will play a key role in creating scalable environmental intelligence tools by leveraging foundation models, multimodal fusion, and advanced AI techniques, and working closely with cross-functional teams.
Responsibilities & Duties : Design and implement geospatial AI models for applications such as crop classification, yield forecasting, water quality retrieval, and emissions detection. Contribute to the design and fine-tuning of large-scale geospatial foundation models for remote sensing tasks using self-supervised and transfer learning approaches. Develop multimodal architectures that integrate hyperspectral, SAR, weather, and ground-based data sources. Adapt models pretrained on well-labeled regions for use in label-scarce environments via transfer learning and domain adaptation. Incorporate scientific or physical priors into AI models (e.g., radiative transfer, crop phenology). Collaborate with data engineers and product managers to deploy models into scalable pipelines. Publish technical findings and contribute to thought leadership in geospatial AI. Desirable Skills & Certifications:
Proven experience in geospatial machine learning, including time-series analysis, land cover classification, or climate/environmental modeling. Strong programming skills in Python, with knowledge of ML libraries (PyTorch, TensorFlow, scikit-learn). Familiarity with geospatial foundation models (e.g., Prithvi, SatMAE, Segment Anything, ViTs trained on EO data). Experience with Earth observation tools and libraries such as Rasterio, xarray, PyProj, or STAC. Comfortable working with large-scale datasets and cloud-based geospatial processing. Experience with hyperspectral, multispectral, or SAR satellite imagery. Familiarity with cloud-based EO platforms like Google Earth Engine, SentinelHub, or OpenEO. Experience building or fine-tuning self-supervised or foundation models in a geospatial context. Demonstrated ability to fuse EO imagery with climate, terrain, or in-situ sensor data. Track record of publications or contributions to the remote sensing or AI research community.
Candidate Acumen : The candidate should have strong expertise in deep learning and geospatial analytics, with hands-on experience in building scalable AI models using satellite or hyperspectral data. Proven ability to work on foundation models, multimodal fusion, and environmental intelligence applications is highly desirable.
Benefits:
Health insurance coverage
Unlimited leaves & flexible working hours
Role-based remote work and work-from-home benefit
Relocation assistance
Professional Mental Wellness services
Creche facility for primary caregivers (limited to India)
Employee Stock Options for all hires
About Pixxel
Pixxel is a space data company and spacecraft manufacturer redefining Earth observation with hyperspectral imaging. The company's first three commercial hyperspectral satellites-Fireflies-deliver imagery at 5-meter resolution and 135+ spectral bands, providing 50x richer detail than traditional Earth observation systems and unlocking insights across agriculture, climate, energy, environment, and more.
Once fully deployed, Pixxel's constellation of 18-24 satellites will capture imagery across up to 250 bands in VNIR and SWIR ranges, with a 40 km swath and daily global revisit capability. Pixxel's most unique strength is its full-stack approach, integrating every layer of the value chain from satellite hardware and manufacturing to AI-powered analytics.
Pixxel's satellite constellation is complemented by Aurora, its in-house Earth Observation Studio that simplifies satellite imagery analysis and democratises remote sensing for all. Designed to make hyperspectral data more accessible, Aurora by Pixxel combines high-frequency imagery with AI-powered tools to generate actionable insights, even for users without technical backgrounds. The third pillar of Pixxel's ecosystem is its in-house satellite manufacturing capability. Beyond building its own spacecraft, Pixxel also provides satellite systems and subsystems to other organisations. This dual capacity sets it apart in a sector where most companies focus on either payload design or data operations, but not both.
Pixxel's team is young but deeply mission-aligned, with a culture rooted in curiosity, speed, and long-term thinking. As the company grows its constellation and expands Aurora, the focus remains on making space-based insights practical, scalable, and genuinely helpful so that the health of the planet becomes measurable and action becomes possible.
Pixxel was the only Indian startup selected for the Techstars Starburst Space Accelerator in Los Angeles and has been recognised in TIME's Best Inventions of 2023, Fast Company's Most Innovative Companies, and Via Satellite's Top Innovators list.
For more information, see our Careers page or follow Pixxel on LinkedIn and X/Twitter.
Culture
Pixxel is an organization where we enable our employees to work on world-changing problems that they are passionate about, and a place where they can be their best selves day in and day out while ensuring they have fun every day.
Central to our employee-first ethos is a commitment to ensuring that every team member feels valued and heard. We nurture a healthy and supportive work environment where we prioritise well-being and growth in all aspects of life
Link to Pixxel in Media