Machine Learning Engineer
il y a 5 jours
Qorvo, Inc. is a leading provider of innovative semiconductor solutions that enable the creation of advanced wireless devices, wired and wireless networks, and defense radar and communications systems. Our company is committed to delivering high-performance products that meet the evolving needs of our customers.
Job SummaryWe are seeking a highly skilled Machine Learning Engineer to join our team. As a Machine Learning Engineer at Qorvo, you will be responsible for developing, implementing, and training pioneering machine learning algorithms and models. You will work closely with our cross-functional teams to deploy neural architectures and algorithms efficiently on edge devices or dedicated computing resources.
Key Responsibilities- Develop and Implement Machine Learning Algorithms: Design, develop, and implement machine learning algorithms and models to solve complex problems in areas such as computer vision, natural language processing, and predictive analytics.
- Deploy Neural Architectures: Deploy neural architectures and algorithms efficiently on edge devices or dedicated computing resources to enable real-time processing and decision-making.
- Ensure Model Robustness: Ensure the quality and robustness of machine learning models throughout their lifecycle, with a focus on model interpretability and explainability.
- Scale Model Training: Scale up model training and build data pipelines and data infrastructures to improve work efficiency and reduce costs.
- Develop Software Tools: Develop software tools and frameworks to improve the rate of experimentation and model development.
- Collaborate with Cross-Functional Teams: Collaborate closely with ML researchers, software engineers, hardware and design teams to ensure seamless integration and deployment of machine learning models.
- Master's Degree in Computer Science: Currently pursuing a Master's degree in Computer Science with a specialization in Machine Learning or a related field.
- Strong Programming Skills: Proficiency in programming languages such as Python, Java, or C++.
- Machine Learning Experience: Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Data Visualization: Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly.
- Self-Motivated and Strong Desire to Learn: Self-motivated and strong desire to learn and adapt to new technologies and techniques.
- High Curiosity: High curiosity and passion for exploring new ideas and concepts.
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