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Machine Learning Engineer

Job in Beavercreek, Greene County, Ohio, USA
Listing for: Ambarella
Full Time position
Listed on 2026-06-01
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

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, Num Py, Torch Vision, 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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