Senior ML Researcher – Foundation Models

satsure· Dhaarini
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📍 Bangalore, KA, IndiaFULL TIME
vision language modellingself supervised learningPyTorch (expert)

About this role

About SatSure
SatSure is a deep-tech decision intelligence company operating at the nexus of agriculture, infrastructure, and climate action. We turn earth observation data into actionable insights for governments, financial institutions, and enterprises across the developing world — at scale, with reliability.


Role

You will be the architect of the model’s latent space, designing foundation models for multi-spectral, multi-temporal, and multi-resolution geospatial data.
This is a hands-on role involving prototyping, experimentation, and large-scale training. You will work across representation learning, model scaling, and spatiotemporal modeling to build systems that generalize across sensors, geographies, and time.

Responsibilities

Representation Learning

  • Design and implement self-supervised learning (SSL) objectives (e.g., Masked Autoencoders, DINO-style methods, contrastive learning) tailored for geospatial data
  • Develop multi-modal representations spanning optical, SAR, elevation, and derived signals
  • Ensure representations transfer effectively across tasks such as segmentation, classification, and change detection
  • Design evaluation strategies to measure generalization across geographies, sensors, and time

Model Development & Scaling

  • Design and scale models based on Vision Transformers (ViT), hybrid architectures, or State Space Models (e.g., Mamba) to large parameter regimes
  • Apply modern training techniques such as RMSNorm, FlashAttention, mixed precision, and gradient checkpointing
  • Run scaling experiments, ablations, and architecture explorations grounded in empirical rigor
  • Leverage insights from scaling behavior to make compute-efficient decisions across model size, data, and training strategy

Temporal Dynamics

  • Develop methods to model time-series satellite data, capturing:
    • Seasonal patterns
    • Temporal dependencies
    • Long-term land-use changes
  • Explore sequence modeling, memory mechanisms, and temporal tokenization strategies

Systems-Level Thinking

  • Design ML systems as end-to-end pipelines (data ingestion → curation → training → evaluation → deployment → feedback)
  • Make explicit trade-offs between model quality, latency, cost, and data freshness
  • Work with platform teams to optimize:
    • Distributed training (FSDP, DeepSpeed)
    • GPU utilization
    • Data pipelines and experiment throughput
  • Build reusable components and abstractions, not one-off models

Preferred Background

Experience

  • 5–8 years of experience in ML research or applied research roles
  • Experience in large-scale foundation model development (vision, multimodal, speech, or related domains)
  • Experience training and/or fine-tuning billion-parameter models
  • Experience working with sequence, video, or temporal data
  • Exposure to geospatial foundation models such as:
    • Prithvi
    • Clay
    • Segment Anything Model (SAM) (nice to have)

Technical Skills

  • Expert-level proficiency in PyTorch or JAX
  • Strong experience with:
    • Distributed training (FSDP / DeepSpeed)
    • Large-scale datasets and training pipelines
  • Familiarity with transformer architectures and training dynamics
  • Bonus: CUDA / performance optimization experience

Additional Strengths

  • Familiarity with efficient scaling techniques (e.g., Mixture of Experts) is a plus
  • Strong experimental rigor and ability to design meaningful ablations
  • Track record of publishing or contributing to state-of-the-art research in representation learning or generative modeling

Frequently Asked Questions

Is the salary disclosed for the Senior ML Researcher – Foundation Models position at satsure?
The salary for this Senior ML Researcher – Foundation Models role at satsure is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Senior ML Researcher – Foundation Models position at satsure located?
This Senior ML Researcher – Foundation Models role at satsure is based in Bangalore, KA, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Senior ML Researcher – Foundation Models role at satsure full-time or part-time?
This is listed as a FULL TIME position. It is posted as a Senior ML Researcher – Foundation Models role in the Dhaarini department at satsure.
Which team or department does the Senior ML Researcher – Foundation Models at satsure belong to?
This Senior ML Researcher – Foundation Models position is part of the Dhaarini department at satsure. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Senior ML Researcher – Foundation Models position at satsure?
Click the "Apply Now" button on this page. You will be redirected to satsure's official application portal hosted on keka where you can submit your application directly.
When was the Senior ML Researcher – Foundation Models job at satsure posted?
This Senior ML Researcher – Foundation Models position at satsure was posted on May 15, 2026. Apply as soon as possible — early applications are often reviewed first.
Senior ML Researcher – Foundation Models
satsure
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