2 days ago
Base Salary
$68k - $97k/yr
Responsibilities
- Develop, implement, optimize, and deploy machine learning algorithms and models for predictive maintenance, anomaly detection, image processing, and natural language understanding.
- Design and build data pipelines for model training and inference while ensuring data quality and efficient processing.
- Perform data exploration, feature engineering, and model validation.
- Integrate AI/ML solutions into existing systems and new product development with cross-functional teams.
- Document technical designs, development processes, and experimental results.
- Improve MLOps practices, including model deployment, monitoring, and retraining strategies.
Requirements
- Master's degree in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or a related quantitative field.
- 0 to 2 years of professional experience developing and deploying AI/ML solutions in a production environment.
- Experience with data processing and manipulation using SQL and/or NoSQL databases.
- Familiarity with AWS, Azure, GCP, and their AI/ML services.
- Strong problem-solving, independent work, teamwork, communication, and presentation skills.
- Ability to explain complex technical concepts to non-technical stakeholders.
Benefits
- Base salary range is $67,600.00 to $96,550.00.
- Total compensation may include an annual bonus, equity, and health and welfare benefits.
Tech Stack
Categories
Data EngineeringML Engineering
About Lumentum
Lumentum designs and manufactures optical communications and photonic products—lasers, modules, and subsystems—for data center, telecom, industrial, and sensing applications. It sells to network equipment makers, cloud providers, and industrial OEMs, supporting AI infrastructure and advanced manufacturing. Founded in 2015 and headquartered in San Jose, California, Lumentum is publicly traded on NASDAQ (LITE) and operates R&D and manufacturing sites worldwide.