Join Pixxel’s geospatial intelligence team as an AI & Data Engineering Intern. Design scalable data pipelines, apply transformer and vision-language models to satellite imagery, and build multi-modal fusion systems for defense and maritime domain awareness. 6-month, in-person internship in Bangalore.

About the Company

Pixxel is a space data company and spacecraft manufacturer redefining Earth observation with hyperspectral imaging. Their first three commercial hyperspectral satellites—Fireflies—deliver imagery at 5-meter resolution and over 135 spectral bands, providing 50x richer detail than traditional systems. 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 full-stack approach integrates satellite hardware, manufacturing, and AI-powered analytics, making them a unique player in the space industry. Their Aurora platform simplifies satellite imagery analysis, democratizing remote sensing for users without technical backgrounds. Recognized by TIME’s Best Inventions of 2023, Fast Company’s Most Innovative Companies, and Via Satellite’s Top Innovators list, Pixxel is building a mission-driven team to solve some of the planet’s hardest challenges.

Role Overview

We are seeking an AI & Data Engineering Intern to support the development of Pixxel’s geospatial intelligence platform for maritime and land domain awareness. This platform fuses multi-source satellite imagery and sensor data into a unified operational picture, enabling defense and national security missions to detect, monitor, and reason about activity across maritime and land environments. This is a hands-on internship where you will work across the full stack: from data ingestion and preprocessing pipelines, through AI model development, to analyst-facing interfaces that make geospatial intelligence actionable. You will own end-to-end workstreams in two primary areas: Data & Infrastructure (building scalable pipelines for ingestion and fusion of multi-source geospatial data) and AI/ML (applying transformer architectures, vision-language models, and diffusion techniques to domain awareness problems).

Key Responsibilities

Data Pipelines & Infrastructure

• Design and build scalable data pipelines for ingestion, preprocessing, and fusion of heterogeneous geospatial data sources (optical satellite imagery, SAR, and vessel tracking telemetry AIS).
• Establish consistent data standards and quality control processes across geospatial data feeds.
• Build infrastructure for near-real-time geospatial data workflows, including continuous ingestion, scene-level processing, chip generation, and dataset export.
• Develop monitoring and evaluation tools to assess pipeline performance, data quality, and throughput.

AI & Machine Learning

• Apply transformer architectures to geospatial problems: object detection, classification, scene understanding in overhead imagery (maritime and land).
• Develop and fine-tune vision-language models (VLMs) enabling natural language reasoning over geospatial data.
• Explore diffusion model approaches for geospatial tasks: image generation, super-resolution, synthetic data augmentation.
• Build multi-modal fusion pipelines combining optical imagery, SAR, AIS, and other sensor feeds to detect anomalous activity and classify vessel behavior.
• Benchmark and validate models against ground truth datasets and operational metrics.

Cross-Functional Responsibilities

• Write clean, efficient, maintainable Python code for data processing and model development.
• Collaborate with ML team on model evaluation; partner with data engineers to optimize pipelines.
• Document datasets, models, pipelines, and technical processes comprehensively.

Tech Stack

• Python
• PyTorch
• TensorFlow
• NumPy
• Pandas
• Transformer architectures (CNNs, attention mechanisms, vision transformers)
• Vision-language models (VLMs)
• Diffusion models
• Multi-modal fusion techniques
• Geospatial data handling (optical imagery, SAR, AIS)
• Data pipeline tools (preprocessing, quality monitoring, near-real-time workflows)
• ML lifecycle (training, evaluation, deployment)
• Remote sensing data concepts (overhead imagery analysis, georeferencing)
• Git, Jupyter, Linux (assumed)

Location

Bangalore, KA, India

Salary & Benefits

Salary: ₹30,000 - ₹50,000 per month (estimated, based on startup intern stipends in Bangalore for AI/Data Engineering roles) 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.

Currently pursuing or recently completed a Bachelor’s degree in Computer Science, Machine Learning, Data Science, Engineering, Physics, or a related field. Strong Python skills with PyTorch/TensorFlow, NumPy, Pandas. Solid understanding of deep learning fundamentals (CNNs, transformers, attention, loss functions, optimization). Coursework or projects in vision-language models, diffusion models, or multi-modal learning. Experience with data pipelines / data engineering. Understanding of ML lifecycle. Familiarity with geospatial/remote sensing data is a plus. Must join in person for 6 months immediately.

• 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