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Senior Machine Learning Algorithm Engineer
HíbridoTiempo completoAI & Machine LearningSemiconductors
Develop machine learning algorithms that use data generated by on-chip monitoring agents. Own the algorithm lifecycle from research and proof of concept through implementation, validation, and deployment, collaborating with cross-functional teams and customers. This is a full-time hybrid role based.
Responsabilidades
- Develop machine learning algorithms for data from agents embedded in silicon, including lifetime prediction, clustering, dimensionality reduction, parametric modeling, screening, and time-series forecasting
- Own the full algorithm lifecycle, from ideation and research through implementation, validation, and deployment
- Work with cross-functional teams and customers to refine and improve deployed solutions
- Integrate AI-enabled tools and intelligent pipelines into machine learning workflows
Requisitos
- Bachelor’s degree in Electrical Engineering
- At least 5 years of algorithm development experience, preferably in complex, data-intensive environments
- Strong Python skills, including statistical and machine learning packages
- Experience across algorithm research, implementation, testing, deployment, and debugging
- Familiarity with unit and end-to-end testing, and performance and memory profiling
- Regular use of AI coding tools such as Cursor, GitHub Copilot, or CodeWhisperer
Se valora
- Master’s degree or higher in Electrical Engineering, Computer Science, or a related field
- Experience with hardware/software integration, ATE, or chip testing
- Experience with Git and CI/CD tools
- Experience with distributed computing frameworks such as Spark or MLRun
- Experience with containerization, Kubernetes, or cloud APIs
- Familiarity with business intelligence tools such as Tableau
- Experience with AI platforms and agents for model training, data annotation, monitoring, or debugging
- Familiarity with chip production or design methods
Beneficios
- Collaborative and supportive team environment
- Work on products used by leading technology companies
- Opportunity to contribute to more reliable electronics
- Room for professional growth