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

The PhD AI/ML Modeling Intern will work on projects involving fine-tuning and implementing AI/ML models, contributing to the development of new algorithms and tools, and collaborating within a cross-functional team with a focus on mentorship.

Lead a team of Technical Program Managers to establish processes and execute large-scale technical programs. Partner with multiple teams to deliver on strategic initiatives and manage projects from inception to deployment, while adapting to rapid changes in priorities.

The Engineering Program Manager at Cisco ThousandEyes will define and execute large-scale technical programs, establish operational processes, and manage change in product priorities within a high-growth environment. Responsibilities include driving functional and technical delivery across engineering teams and partnering with stakeholders throughout the product development lifecycle.

Lead and inspire a globally-distributed Site Reliability Engineering team while driving strategic vision for cloud-based infrastructure. Focus on automation, availability, and performance while collaborating with cross-functional teams to enhance platform security and efficiency. Mentor engineering talent and drive operational excellence in SRE operations.

As an Information Security Engineer, you will ensure compliance with FedRAMP standards, conduct security assessments, manage vulnerabilities, implement security controls, and provide technical advisory to teams. You will utilize automation tools like Kubernetes and Terraform to enhance security processes and compliance checks.

The Principal Engineer will oversee the technical direction of the Platform Engineering group at Cisco ThousandEyes, ensuring the team meets current and future challenges. Responsibilities include mentoring engineers, enhancing software quality, and developing solutions for performance, scalability, and security within the ThousandEyes SaaS product.

As a Senior AI Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, focusing on training and tuning deep learning models and evaluating their performance. Responsibilities include data collection design, feature engineering, and building evaluation frameworks.