Machine Learning Engineer
Job Description
Analog Devices (NASDAQ: ADI) is seeking a Machine Learning Engineer to join their innovative team. As a key player in developing and implementing machine learning models, you'll enhance semiconductor solutions while working independently and collaborating with cross-functional teams. The role focuses on solving real-world problems in signal processing, sensor data analysis, and edge computing applications.
ADI is a global semiconductor leader with revenue exceeding $9 billion and approximately 24,000 employees worldwide. The company specializes in bridging physical and digital worlds, enabling breakthroughs in digitized factories, mobility, digital healthcare, and climate change solutions.
This entry-level position is perfect for candidates with a strong foundation in Python programming and machine learning fundamentals. You'll be responsible for developing ML models, performing feature engineering, conducting model optimization, and contributing to ML pipeline development. The ideal candidate should have a Bachelor's or Master's degree in Computer Science, Data Science, or related field, with 0-2 years of experience.
Working at ADI offers numerous benefits, including:
- Collaborative and innovative environment
- Competitive compensation and benefits package
- Work-life balance
- Professional growth opportunities
- Continuous learning and mentorship from industry experts
- Chance to work on cutting-edge projects with real-world impact
Join ADI to be part of a team that's shaping the future of technology and making a tangible difference in how people live, work, and connect. The company's commitment to innovation, combined with its global reach and impact, makes this an excellent opportunity for those looking to start their career in machine learning engineering.
Responsibilities For Machine Learning Engineer
- Develop and implement ML models independently
- Perform feature engineering and data preprocessing
- Conduct model evaluation and optimization
- Contribute to ML pipeline development
- Collaborate with data scientists and engineers
Requirements For Machine Learning Engineer
- Strong Python programming skills with proficiency in developing efficient and maintainable code
- Experience implementing solutions using modern machine learning frameworks and tools
- Ability to create effective data models and apply appropriate preprocessing techniques
- Knowledge of methods to evaluate and optimize ML model performance
- Understanding of ML deployment processes and pipeline development
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- 0-2 years of experience in machine learning or related field
Benefits For Machine Learning Engineer
- Competitive compensation and benefits
- Work-life balance
- Professional growth opportunities
- Continuous learning opportunities
- Mentorship from industry experts
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