Senior Machine Learning Engineer
Remote (India) · Full-time
About the Company:
Aerobotics7 (A7) is a growing, stealth-stage startup building AI and robotics to solve some of the critical challenges on the planet. Small team, high ownership, real hardware in the field. We'll share more once we're talking.
Position Overview:
Own every ML system at A7 end-to-end - from limited real + synthetic datasets to models running in real time on the robot - as the only ML engineer, setting the technical direction for our next phase of development and deployment.
This is not a "train a model and hand it off" role. You build the data pipeline, the models, the evaluation, and the deployment stack. You define the ML roadmap and, as we grow, hire and lead the team behind it.
Key Responsibilities
- The full ML lifecycle: custom model development, data to training to evaluation to edge/cloud deployment to monitoring to iteration.
- Object detection and classification on hard, low-signal sensor data (radar, LiDAR, camera), including multi-sensor fusion.
- Our synthetic data strategy: generation,



sim-to-real domain gap, domain adaptation and randomization.
- Real-time inference on-device (NVIDIA Jetson AGX Orin) and at scale in the cloud.
- ML infrastructure from scratch: experiment tracking, dataset/model versioning, reproducible training, evaluation harnesses.
- The ML roadmap. You set priorities with the founders and are accountable for outcomes, not experiments.

Must-have
- 5+ years applied ML shipping models into production, not research-only.
- Deep, hands-on work with contemporary transformer-based detection: DETR family (Deformable DETR, DINO-DETR), self-supervised backbones (DINOv2), or equivalent and newer architectures. You can explain the tradeoffs and when to reach for each. Off-the-shelf YOLO fine-tuning or LLM-generated pipelines you can't defend line by line are not what we're looking for.
- Low-data expertise: transfer learning, self-supervised / semi-supervised / few-shot, a

📌 Senior Machine Learning Engineer (India)
🏢 Aerobotics7
📍 India