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AI Engineer

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AI Engineer in Others

  • Bengaluru, India

Responsibilities

  • Research and develop machine learning models for perception and understanding across visual, audio, and other real-world signals.
  • Explore production systems combining 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 turn research into working systems.
  • Own work end to end across models, edge systems, cloud infrastructure, pipelines, and production troubleshooting.

Requirements

  • Understand deep-learning fundamentals, including architectures, training dynamics, evaluation design, data quality, and annotation.
  • Think in systems, including latency and memory budgets, failure modes, distributed pipelines, and on-device constraints.
  • Have hands-on experience with agentic development tools and AI-assisted coding as a core part of building and shipping.
  • Be proficient in Python and PyTorch, with working ability in at least one systems language such as C++ or Go.
  • Strong candidates may have experience building LLM or agent-based applications with tool use, retrieval, and evaluation of non-deterministic systems.
  • Strong candidates may have experience with on-device or embedded ML using SNPE, TensorRT, TFLite, ONNX Runtime, or similar tools.
  • Strong candidates may have experience with video understanding, VLM or embedding models, large-scale retrieval, large-scale video or telemetry data, annotation pipelines, observability tooling, distributed training, or experimentation frameworks.

Benefits

  • The company provides an inclusive workplace and is an equal opportunity employer.
  • Some interviews or new-hire training sessions may be held in person at a global office.
  • US-based employees may be required to execute a non-compete covenant depending on role and primary work location, subject to stated jurisdictional exceptions and legal requirements.

Motive

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. We serve nearl...

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