Machine Learning Engineer

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 (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.

 

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.

 

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.