Develop and deploy modern machine learning solutions for complex real-world challenges in autonomous systems.
Requirements
- Strong understanding of fundamental machine learning algorithms and neural network techniques.
- Expertise in at least one modern machine learning domain, such as computer vision, large language models, or generative AI.
- At least three years of experience developing neural network-based algorithms, including data collection, training, and deployment.
- Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark, NumPy, and SciPy.
- Working knowledge of C++ and SQL.
- Familiarity with neural network deployment and optimization tools such as triton, TensorRT, or similar frameworks.
- Publications in top-tier ML conferences or contributions to patent applications or ML-related open-source projects.
Responsibilities
- Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ensure efficiency, scalability, and robustness.
- Curate and Manage Large-Scale Datasets: Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for training and evaluation.
- Enhance and Maintain Training Pipelines: Develop efficient workflows for training, validation, and testing, incorporating distributed training, hyperparameter tuning, and automated monitoring.
- Improve Model Deployment and Efficiency: Optimize inference performance, model compression, and deployment across various hardware platforms.
- Explore and Apply Cutting-Edge ML Techniques: Stay up to date with advancements in deep learning and experiment with novel approaches to improve model performance.
- Collaborate with Cross-Functional Teams: Work closely with researchers, software engineers, and robotics experts to integrate machine learning solutions into real-world autonomous systems.
Other
- Candidates are required to be authorized to work in the U.S.
- The employer is not offering relocation sponsorship, and remote work options are not available.
- Ability to quickly absorb new concepts by reviewing research papers, technical reports, and documentation.
- Strong collaboration and communication skills, with the ability to align technical work with business objectives and drive results.
- Proven ability to set and achieve mid- and long-term goals, prioritize tasks, and meet deadlines independently.
