Research and develop machine learning models for perception and understanding across visual, audio, and other real-world signals.

Design data, training, and evaluation approaches for real-world operating conditions.

Analyze model behavior, robustness, and failure modes across data, deployment, and operating conditions.

Own work end to end across models, edge systems, cloud systems, and production troubleshooting.

Understand deep-learning architectures, training dynamics, evaluation design, and data quality and annotation.

Have hands-on experience using agentic development tools and AI-assisted coding as part of building and shipping software.

Be proficient in Python and PyTorch.

Have working ability in at least one systems language, such as C++ or Go.

Preferred: experience building LLM or agent-based applications with tool use, retrieval over domain data, and evaluation of non-deterministic systems.

Preferred:



experience with on-device or embedded ML, including SNPE, TensorRT, TFLite, ONNX Runtime, or similar tools.

Preferred: experience with video understanding, VLM or embedding models, or large-scale retrieval.

Preferred: experience with large-scale video or telemetry data, annotation pipelines, and observability tooling such as Snowflake or Redash.

Preferred: experience with distributed training or experimentation frameworks such as Ray or Anyscale and rigorous evaluation harnesses.

Some interviews or recent-hire training sessions may be held in person at one of the company's global offices.

The employer provides an equal opportunity workplace and welcomes people from different backgrounds, experiences, abilities, and perspectives.

📌 AI / ML Specialist (Bengaluru)
🏢 Motive
📍 Bengaluru