Space Intelligence Engineer

22 hours ago

Vadodara, Gujarat, India beBeeMachineLearning Full time ₹ 2,00,00,000 - ₹ 3,00,00,000

At Little Place Labs, we're revolutionizing the way satellites process and deliver intelligence from orbit.

We specialize in satellite edge computing, developing cutting-edge solutions that process data directly on board, enabling real-time analysis and rapid decision-making.

As a key member of our development team, you'll work on the space data analytics product Orbitfy, exploring different use cases for the technology, and collaborating closely with the CTO to strategize the product and company roadmap.

The data science team is at the heart of our product development, offering space-derived analytics as the source of truth for key stakeholders so they can make critical decisions.

You will work closely with engineering, product, and the CTO to apply sophisticated modeling techniques to a modern data stack and build the future of Space Edge Computing.

This role requires excellent communication skills to coordinate with global teams and external partners. Some travel may be required.

Your responsibilities will include:

  • AI-driven development: Using modern AI tools to enhance productivity across the data science lifecycle.
  • Algorithm development: Designing and implementing state-of-the-art computer vision and ML models for satellite imagery.
  • Model optimization: Training and fine-tuning deep learning models for edge deployment, balancing performance with efficiency and power constraints.
  • Cross-functional collaboration: Working with GIS engineers, software teams, and product managers to integrate ML solutions into Orbitfy's pipeline.
  • Innovation & research: Staying ahead of emerging trends in Edge AI, ML, and remote sensing, and translating them into practical solutions for space applications.
  • Data handling: Processing large datasets from diverse sensors; designing robust preprocessing, augmentation, and feature extraction workflows.
  • Communication & reporting: Clearly articulating technical concepts, results, and trade-offs to both technical and non-technical stakeholders.
  • Quality & validation: Ensuring robustness, reliability, and reproducibility of solutions through systematic testing and benchmarking.

Key metrics for success include:

  • Delivery of LPL's machine learning modules on schedule.
  • Deployment of LPL's products for multiple satellite missions.
  • Demonstrated productivity gains and accelerated project outcomes through the adoption of AI tools.
  • Effective collaboration and communication across distributed teams.

We are seeking candidates with:

  • Education: Bachelor's or Master's in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • Experience: 3–8 years in data science, with demonstrated hands-on experience in computer vision, image processing, or machine learning.
  • Technical skills:
    • Strong in Python; experience with frameworks like TensorFlow, PyTorch, OpenCV.
    • General software engineering: cloud infrastructure, Docker, git best practices.
    • Exposure to C/C++, CUDA, ONNX, TensorRT, OpenVINO, or FPGA acceleration is a plus.
    • Experience with architectures such as CNNs, ViTs, GANs and foundational models etc
    • Experience with model compression is a plus.
  • Domain knowledge: Familiarity with satellite imagery and remote sensing preferred (but not mandatory if strong ML background).
  • Good understanding of embedded systems from the perspective of deploying AI.
  • Edge AI focus: Experience or keen interest in deploying models in constrained environments.

We offer an equal opportunity employment environment.

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