Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

As a Senior Software Engineer II, you will develop a real-time data processing platform for anomaly detection, build high-performance microservices, and contribute to systems that handle billions of events, ensuring they operate efficiently and meet business needs.

As a PhD AI/ML Modeling Intern, you will work on modeling and algorithm projects, fine-tuning models and integrating new tools. You'll collaborate with teams, receive mentorship, and tackle diverse problems related to AI and machine learning in a dynamic environment.

As Director of Product, you will define the strategy and vision for Network & Application Synthetics, lead a team of product managers, and collaborate with cross-functional teams to drive growth and innovation. You'll own the product roadmap and engage with customers to improve user experiences using AI-driven insights.

As a Senior Technical Product Manager at Cisco ThousandEyes, you'll manage Cloud and Enterprise Agent components, ensuring alignment with engineering teams and strategic growth of agent footprints. You will identify new use cases and geographical locations, contribute to long-term strategy, and engage with customers to enhance product experience.

As a Principal Engineer, you will lead the technical direction of the Platform Engineering group, enhancing product capabilities such as authentication and data visualizations. You'll be responsible for quality and operational excellence while mentoring engineers, focusing on scalable solutions and fostering best practices in software development.

As a Principal Engineer, you will design and implement large-scale machine learning pipelines using technologies like Java and Python, alongside frameworks such as TensorFlow and SKLearn. Your role includes crafting machine learning models, making strategic decisions, and leading teams through impactful projects in network optimization.

As a Distinguished Engineer on the AI/ML team, you will guide the team in training, tuning, and evaluating AI/ML models, including large language models. Responsibilities include designing large-scale AI/ML pipelines, influencing product direction, and ensuring successful integration of machine learning models into services.