Job Description
Are you ready to architect the future of autonomous systems? Nexus Robotics is seeking a brilliant Senior Machine Learning Engineer to join our core research and development team. You will be instrumental in building high-scale generative models that power our next-generation robotic interfaces.
We offer a collaborative environment, cutting-edge hardware, and the opportunity to solve complex problems that change how humans interact with machines.
Responsibilities
- Architect and deploy large-scale machine learning models into production environments.
- Collaborate with cross-functional teams to integrate generative AI features into existing hardware.
- Optimize neural network performance for low-latency inference on edge devices.
- Conduct cutting-edge research in reinforcement learning and computer vision.
- Mentor junior engineers and promote best practices in MLOps and clean code architecture.
- Analyze massive datasets to improve model accuracy and system robustness.
Qualifications
- Master's or PhD in Computer Science, Robotics, or a related field.
- 5+ years of experience in ML engineering with a focus on Deep Learning.
- Expert-level proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).
- Proven track record of deploying ML models in high-concurrency production environments.
- Experience with CUDA, TensorRT, or similar high-performance computing tools.
- Strong background in data structures, algorithms, and mathematical optimization.
- Excellent communication skills with the ability to translate complex research into actionable engineering goals.