About Marvell
Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, automotive, and carrier architectures, our innovative technology is enabling new possibilities.
At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.
Your Team, Your Impact
Marvell CE DSP Team develops and designs a variety of low power and high-speed Serializer-Deserializer (SerDes) IP in advanced CMOS technologies used in many products for the hyperscale cloud data center applications. We are looking for a skilled Machine Learning Engineer/Data Scientist to design, develop, and deploy machine learning models and algorithms that power our 112G, and 224G serial interfaces. The candidate will also have an opportunity to experience work in industry, broaden the knowledge of key aspects of serial communication links.
The ideal candidate will have a strong background in machine learning techniques, data analysis, and software development, along with a passion for applying machine learning to real-world problems.

What You Can Expect

• Collaborate with cross-functional teams to understand business requirements and translate them into machine learning solutions.
• Design, develop, and implement machine learning algorithms and models for tasks such as classification, regression, clustering, recommendation systems, reinforcement learning, and supervised learning.
• Perform data preprocessing, feature engineering, and data augmentation to prepare datasets for model training and evaluation.
• Optimize and fine-tune machine learning models for improved accuracy, scalability, and efficiency.
• Conduct exploratory data analysis (EDA) to gain insights and identify patterns in large datasets.
• Evaluate and benchmark machine learning models using appropriate metrics and techniques such as cross-validation and hyperparameter tuning.
• Optimize and fine-tune machine learning models for scalability, efficiency, and accuracy in production environments.
• Implement model monitoring and maintenance procedures to ensure ongoing model accuracy and reliability.
• Work closely with data engineers to design and maintain data pipelines for model training and inference.
• Collaborate with software engineers to integrate machine learning models into production systems and ensure smooth deployment and monitoring.
• Develop and maintain data pipelines and workflows for efficient data processing and model training.
• Stay updated with the latest developments in machine learning, data science, and related fields, and propose innovative solutions to improve our machine learning capabilities.

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What We’re Looking For

• Candidate MUST be currently pursuing a MS or PhD degree (PhD preferred) in CS/EE or related technical field(s)
• Previous experience in industry is not required

Preferred Qualifications:

• Excellent Research and Development experience in machine learning algorithms and models
• Strong analytical skills; Strong problem-solving skills
• Very good verbal and written communication skills
• Strong Programming skills in C/C++, MATLAB, or Python
• Knowledge of reinforcement learning, and supervised learning
• Knowledge of a SerDes system is a big plus

Additional Compensation and Benefit Elements
With competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity. We’re dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us. For additional information on what it’s like to work at Marvell, visit our
Careers
page.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status

Please refer the Job description for details