Senior Machine Learning Engineer

Job description

Job responsibilities

• Machine Learning modeling
• Design, train, and deploy state-of-the-art machine learning models for end-to-end learning based navigation stack.
• Work with deep learning architectures such as transformers, convolutional networks to capture complex decision making.
• Architect and implement full-stack end-to-end navigation solutions, covering perception, prediction, and planning.
• Explore novel data generation and collection pipelines to enrich training datasets.
• Model Deployment, Monitoring & Performance
• Assist with deploying machine learning models into production environments
• Continuously monitor models in production, detecting model drift, and automating retraining processes as applicable
• Troubleshoot issues related to model deployment, performance, and system integration.

Job requirements

• Bachelor’s or Master’s degree in Computer Science, AI, Statistics, or a related field, with 4+ years of industry experience.
• Proficiency in Python and modern ML frameworks such as PyTorch, TensorFlow, or JAX, alongside working knowledge of C++ for deployment and system integration.
• Deep understanding of contemporary deep learning architectures, optimization, and evaluation, with a strong grasp of end-to-end navigation stack components — including perception, prediction, and path/motion planning.
• Proven track record deploying ML models into production environments, ideally within robotics, self-driving, or NLP.
• Publications in top tier ML or robotics conferences