Associate Machine Learning Engineer
Analog Devices1 day ago
Boston, MA, USAMid Level / Senior
H1B sponsor
Base Salary
$122k - $167k/yr
Responsibilities
- Develop and implement machine learning models independently.
- Perform feature engineering and data preprocessing.
- Evaluate and optimize machine learning model performance.
- Contribute to machine learning pipeline development and deployment processes.
- Collaborate with data scientists and engineers on machine learning projects.
- Apply machine learning to signal processing, sensor data analysis, and edge computing applications.
Requirements
- Strong Python programming skills and the ability to develop efficient, maintainable code.
- Experience implementing solutions with modern machine learning frameworks and tools.
- Ability to create effective data models and apply appropriate preprocessing techniques.
- Knowledge of methods for evaluating and optimizing machine learning model performance.
- Understanding of machine learning deployment processes and pipeline development.
- Bachelor's or master's degree in Computer Science, Data Science, or a related field.
- 2–5 years of experience in machine learning or a related field.
Benefits
- Medical, vision, and dental coverage.
- 401(k), paid vacation, holidays, and sick time.
- Continuous learning opportunities and mentorship from industry experts.
- Collaborative work environment focused on professional growth and work-life balance.
- Discretionary performance-based bonus.
- Required travel of 10% of the time.
Tech Stack
Categories
About Analog Devices
Analog Devices, Inc. designs and sells analog, mixed-signal, RF, power, sensor, and digital signal processing ICs to OEMs across industrial, automotive, communications, consumer, and healthcare markets. Founded in 1965 and headquartered in Wilmington, Massachusetts, the NASDAQ-listed company earns revenue from catalog and application-specific semiconductors and supporting software used in applications from factory automation and vehicles to data centers and medical devices.