AI Engineer: End-to-End ML in Real-World Systems

Motive

United States

Remote

USD 120,000 - 180,000

Full time

5 days ago
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Job summary

Motive is seeking an AI Engineer to work across the full stack—training models, evaluating them, and deploying in production. You will collaborate with firmware, platform, and product teams to ship end-to-end solutions that run on-device or in the cloud, balancing latency, memory, and accuracy.

You should be proficient in Python and PyTorch, with experience in at least one systems language (C++ or Go). Experience with LLMs, tool use, and large-scale data is a plus.

Qualifications

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

Responsibilities

  • Research and develop machine learning models for perception and understanding problems across visual, audio, and other real-world signals.
  • Explore how specialized models and larger general-purpose models can work together in production systems.
  • 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.
  • Integrate and validate new capabilities in real-time or resource-constrained systems.
  • Work with firmware, platform, and product teams to turn research into working systems.

Skills

Python
PyTorch
Systems language
Edge/embedded ML
Research & prototyping

Tools

SNPE
TensorRT
TFLite
ONNX Runtime
Video understanding tools

Job description

Motive is seeking an AI Engineer to work across the full stack—training models, evaluating them, and deploying in production. You will collaborate with firmware, platform, and product teams to ship end-to-end solutions that run on-device or in the cloud, balancing latency, memory, and accuracy.

You should be proficient in Python and PyTorch, with experience in at least one systems language (C++ or Go). Experience with LLMs, tool use, and large-scale data is a plus.

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