Audio Machine Learning Co - op developing real - time AI - powered audio processing algorithms for Bose. Collaborating with experts to prototype and implement novel ML algorithms for various applications.
About the role
- AI Center of Excellence Engineer at F5 supporting applied AI research, prototyping, and engineering initiatives. Evaluating AI techniques and creating integration recommendations for production systems.
Responsibilities
- Support research and evaluation of emerging AI, machine learning, and generative AI techniques for product, platform, and business applications.
- Build prototypes, proof-of-concepts, and technical experiments to assess feasibility, performance, scalability, and implementation tradeoffs.
- Assist in the development of data pipelines, model evaluation workflows, benchmarking processes, and deployment-readiness practices.
- Contribute to architecture recommendations and implementation guidance for integrating AI capabilities into products and internal platforms.
- Prepare technical documentation, research summaries, and implementation guidance for engineering and cross-functional stakeholders.
Requirements
- Master’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field.
- 2 - 4 years of relevant industry experience, or equivalent graduate research and internship experience, in machine learning, data science, or applied AI.
- Strong programming skills in Python and strong working knowledge of SQL.
- Experience developing, evaluating, and analyzing machine learning models in applied or production-oriented environments.
- Strong written and verbal communication skills, with the ability to translate technical findings into practical recommendations.
- Familiarity with modern AI topics such as transformer architecture, time series analysis, anomaly detection, or generative AI.
- Exposure to cloud and MLOps environments such as AWS, Azure, GCP, Docker, Kubernetes, CI/CD, MLflow, or Databricks.
- Experience with distributed data or ML systems using tools such as Spark or cloud-based processing frameworks.
- Understanding of responsible AI, explainability, model monitoring, drift detection, or data quality validation practices.
- Hands-on experience using Jupyter for experimentation, analysis, model development, and technical investigation.
Benefits
- F5 reserves the right to change or terminate any benefit plan without notice.
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