[Remote] Machine Learning Engineer
Note: The job is a remote job and is open to candidates in USA. EVONA is a venture-backed startup developing next-generation autonomous systems for defense and industry. They are seeking a Machine Learning Engineer to lead model deployment on low-cost embedded hardware, working on real-time computer vision and optimizing deep learning models for resource-constrained platforms.
Responsibilities
- Design and train deep learning models for real-time computer vision.
- Optimize performance via quantization, pruning, and knowledge distillation.
- Deploy models on platforms like Jetson, Qualcomm, ARM Cortex, and ASICs.
- Contribute to SLAM, object detection, tracking, and sensor fusion pipelines.
- Write robust code in Python and C++, using TensorFlow, PyTorch, and ONNX.
- Collaborate closely across engineering teams to integrate ML into production.
Skills
- 5+ years in ML/deep learning with a strong CV/compression focus.
- Hands-on with deployment on embedded hardware or edge devices.
- Fluency in Python, C++, and ML deployment frameworks (TensorRT, ONNX).
- Background in optimizing models for latency, power, and memory footprint.
- CUDA/OpenCL
- Robotics (ROS)
- SLAM
- Multi-sensor fusion
Benefits
- Full health/dental/vision
- 401(k)
- Flexible PTO
Company Overview
- We believe in the evolution of knowledge and the progression of people – it is so core to our business, it’s the meaning of our name: EVO – to evolve, ONA – people. It was founded in 2018, and is headquartered in St Petersburg, Florida, US, with a workforce of 51-200 employees. Its website is http://www.evona.com.