Job Title: Machine Learning Engineer
Location: Beavercreek, OH or Remote/Hybrid]
Company: Oculii Corp. – A Subsidiary of Ambarella, Corporation

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.

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 (e.g., 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 (e.g., CUDA, SIMD, NPUs).
• Experience with quantization, pruning, and model compression.Exposure to real-time embedded systems or radar applications.

• Build and maintain data pipelines for training and inference workflows.
• Develop, train, and validate deep learning models (e.g., CNNs, Transformers).
• Design and refine training strategies to improve performance and robustness.
• Deploy models to embedded systems using optimization techniques (e.g., 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.