Top Entry Level Jobs in Seattle, WA

The Internal Audit Associate will provide assurance and advisory services to improve governance, risk management, and control processes. Responsibilities include planning and executing audits, drafting reports, collaborating with teams, and maintaining confidentiality. This entry-level role requires knowledge of audit principles and the ability to manage multiple tasks, with some domestic and international travel.

The Machine Learning Software Engineer will contribute to R&D and machine learning initiatives by designing and implementing robust software solutions. They will work with a diverse team on real-world problems, gaining experience in software development and cutting-edge technologies.

The Bilingual Trust & Safety Incident Operations Specialist will manage trust and safety concerns reported by customers and pros, ensuring swift and effective resolution. The role involves overseeing matters that may have financial or legal implications, providing excellent customer support, and collaborating across teams to enhance user experience and safety on the platform.

The role involves leadership in design, but specific responsibilities, qualifications, and compensation details are not provided.

As a Contract Quality Technician, you will remotely drive tractors, test features, and provide feedback to the engineering team, ensuring the reliability and safety of Carbon Robotics' LaserWeeder. You'll support product development and assist with customer experiences, contributing to a cutting-edge robotics project in the agriculture sector.

The Solutions Engineer acts as a technical advocate, facilitating the technical sales process of Cloudflare solutions, engaging with enterprise customers to ensure successful platform adoption and value realization. Responsibilities include driving sales opportunities, managing customer relationships, and consulting on solution implementations, while leveraging diverse team strengths to meet customer needs.

As an Applied AI Scientist, you will develop advanced algorithms for large data sets, apply statistical and data mining techniques, evaluate emerging datasets for analytical platforms, and contribute to thought leadership by researching and publishing evolving topics.