What are the responsibilities and job description for the Machine Learning Engineer position at RG&T Solutions?
We are seeking a Machine Learning Engineer to conduct research, develop, and implement advanced AI and machine learning solutions for autonomous systems and robotics.
Key Responsibilities Include
Key Responsibilities Include
- Designing and building machine learning algorithms and training pipelines to support data-driven outcomes.
- Applying methods such as generative techniques, data fusion, classification, validation, optimization, computer vision, and reinforcement learning.
- Contributing to diverse application areas, with a focus on advancing spacecraft autonomy.
- Collaborating independently and within teams to solve complex technical problems in a fast-paced environment.
- Advanced degree in computer science, mathematics, statistics, aerospace, electrical engineering, or related fields.
- 3 years of experience in machine learning challenges.
- Strong foundation in stochastic processes, statistical inference, and optimal control theory.
- Familiarity with deep learning architectures such as CNNs, RNNs, NLP, and time-series analysis.
- Experience with deep learning workflows, data preparation, model training, validation, and testing.
- Proficiency in Python, R, C , and frameworks like PyTorch and TensorFlow.
- Excellent analytical, communication, and teamwork skills.