Senior ML Algorithm Engineer
Core
Develop advanced machine learning algorithms using data from embedded silicon agents to predict chip lifetime, cluster data, model parameters, and forecast time-series for next-gen electronics.
Role type
Senior IC machine learning algorithm engineer (hardware monitoring)
Builds
Production ML models for on-chip health monitoring and reliability (via careerplan.io/jobs/D5-00E-82-D6A-senior-ml-algorithm-engineer-at-proteantecs)
Domain
Semiconductor hardware monitoring and predictive maintenance
Deliverable
production ML models
Required skills
Python, statistical analysis, machine learning, algorithm lifecycle management, testing frameworks, AI coding tools
Preferred skills
HW/SW integration, ATE/Chip testing, distributed compute frameworks, containerization, cloud orchestration, business intelligence tools, AI platforms for model training
Technologies
Python, Git, CI/CD, Spark, MLRun, Kubernetes, Tableau, Cursor
Responsibilities
Develop advanced ML algorithms for lifetime predictions, clustering, parametric modeling, and time-series forecasting; Lead end-to-end algorithm lifecycle from ideation to deployment; Collaborate with cross-functional teams and customers to refine solutions; Drive integration of AI-enhanced tools into ML workflows.
