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. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Motive's AI team builds the models and systems that let us see and understand what's happening on the road and in the field, across cameras, sensors, and millions of hours of fleet data. Our work spans model development, on-device deployment, and the cloud infrastructure that turns raw signals into products drivers and safety teams rely on every day.

We're looking for an AI Engineer to work across the full stack: training and evaluating models, then getting them running in the real world and building the systems around them. You'll partner closely with platform, product, and firmware teams to ship your work.

You might spend one day improving a model, another building the pipeline that feeds it, and another in production tracking down why something's off.

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

Design data, training, and evaluation approaches that hold up under real-world conditions, not just in a notebook.

Study model behavior, robustness, and failure modes across data, deployment,



and operating conditions.

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

Take end-to-end ownership across the model, edge, and cloud boundaries, and stay comfortable with ambiguity along the way.

Have hands-on experience using agentic development tools and AI-assisted coding as a core part of how you build and ship, not as a side experiment.

Are proficient in Python and PyTorch, with working ability in at least one systems language (e.g., C++ or Go).

Experience building LLM or agent-based applications including tool use, retrieval over domain data, and evaluating non-deterministic systems.

Experience with on-device or embedded ML (SNPE, TensorRT, TFLite, ONNX Runtime, or similar).

Experience with video understanding, VLM/embedding models, or large-scale retrieval.

Experience working with large-scale video or telemetry data, including annotation pipelines and observability tooling (e.g., Snowflake, Redash).

Experience with distributed training or experimentation frameworks (e.g., Ray/Anyscale) and building rigorous evaluation harnesses.

We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.

This requirement does not apply to lawyers, interns, or employees working in CA, MN, MT, ND, OK, or where otherwise prohibited by law.

Non-compete covenant terms in all other jurisdictions will be subject to the applicable statutory requirements, including but not limited to, procedures, industry related prohibitions, or salary and compensation thresholds.

some interviews or recent-hire training sessions may be held in person at one of our global offices.

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