4 hours ago
Bengaluru, IndiaMid Level
Responsibilities
- Research and develop machine learning models for perception and understanding across visual, audio, and other real-world signals.
- Explore production systems that combine specialized models with larger general-purpose models.
- Design data, training, and evaluation approaches for real-world operating conditions.
- Analyze model behavior, robustness, and failure modes across data, deployment, and operating conditions.
- Integrate and validate capabilities in real-time or resource-constrained systems.
- Partner with firmware, platform, and product teams to ship working systems.
- Own work end to end across model development, edge deployment, cloud systems, and production troubleshooting.
Requirements
- Understand deep-learning architectures, training dynamics, evaluation design, data quality, and annotation.
- Think in terms of latency and memory budgets, failure modes, distributed pipelines, and on-device constraints.
- Take end-to-end ownership across model, edge, and cloud boundaries.
- Have hands-on experience with agentic development tools and AI-assisted coding as a core development practice.
- Be proficient in Python and PyTorch.
- Have working ability in at least one systems language, such as C++ or Go.
- Preferred experience includes LLM or agent-based applications, tool use, retrieval, and evaluation of non-deterministic systems.
- Preferred experience includes on-device or embedded ML using technologies such as SNPE, TensorRT, TFLite, or ONNX Runtime.
- Preferred experience includes video understanding, VLM or embedding models, large-scale retrieval, video or telemetry data, annotation pipelines, observability tooling, distributed training, or experimentation frameworks.
About Motive
Motive builds an automated operations platform that pairs IoT hardware with AI-powered software for fleets and physical operations, covering GPS tracking, ELD compliance, dashcams, safety, maintenance, and spend management. It sells hardware and SaaS subscriptions to transportation, construction, energy, field service, and public-sector customers. Founded in 2013 and headquartered in San Francisco, the privately held company reports serving over 120,000 businesses.