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Machine Learning Engineer

Machine Learning Engineer

AmbarellaBeavercreek, United States
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Job Title : Machine Learning Engineer

Location : Beavercreek, OH or Remote / Hybrid]

Company : Oculii Corp. – A Subsidiary of Ambarella, Corporation

About Oculii Corp

Oculii is developing cutting-edge high-resolution imaging radar technology that powers the future of autonomous vehicles, drones, and intelligent machines. As a part of Ambarella, Inc., we integrate real-time AI with radar systems to push the limits of what’s possible in autonomous perception.

Position Summary

We’re seeking a Machine Learning Engineer to develop and deploy deep learning models that operate on radar data in resource-constrained environments. You’ll build high-performance, scalable machine learning systems—from data preprocessing and model training to optimization and deployment on edge hardware.

Responsibilities

  • Build and maintain data pipelines for training and inference workflows.
  • Develop, train, and validate deep learning models (, CNNs, Transformers).
  • Design and refine training strategies to improve performance and robustness.
  • Deploy models to embedded systems using optimization techniques (, quantization, pruning).
  • Analyze and resolve performance bottlenecks in runtime environments.
  • Read and implement state-of-the-art research from academic and open-source communities.
  • Collaborate with multidisciplinary teams across ML, hardware, and software engineering.

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.
  • Proficiency in Python and ML libraries such as PyTorch, NumPy, TorchVision, Matplotlib .
  • Understanding of deep learning architectures (, MLPs, CNNs, Transformers ).
  • Experience with model training tools : loss functions, optimizers, data loaders.
  • Proficiency in C / C++ for performance-critical components.
  • Solid foundation in statistics and data analysis.
  • Ability to interpret and implement techniques from ML research papers.

    • Preferred Qualifications

  • Experience with deploying models using ONNX , TensorRT , or similar frameworks.
  • Familiarity with parallel computing and hardware acceleration (, CUDA, SIMD, NPUs).
  • Experience with quantization, pruning, and model compression.
  • Exposure to real-time embedded systems or radar applications.

    • Why Join Oculii?

  • Work with a highly skilled team solving real-world ML problems.
  • Contribute to impactful technologies in autonomy and intelligent sensing.
  • Be part of an innovation-focused company backed by Ambarella.
  • Competitive salary, benefits, and growth opportunities.

    • Oculii – Independently Build. Collectively Driven.

    Come learn the way. Stay to lead the way.

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    Machine Learning Engineer • Beavercreek, United States