The Ampin App
deep insights into the Atlassian community

Zendesk is seeking a Senior ML Engineer to enhance their retrieval-augmented generation (RAG) platform used in customer service applications. The engineer will work collaboratively with product managers and ML scientists, mentor junior team members, and ensure service reliability while also contributing to design discussions and delivering AI capabilities at scale. Candidates should have over four years of experience in machine learning with Python, solid knowledge of server-side application design, and experience with cloud services like AWS. Preferred skills include familiarity with large language models (LLMs) and experience in RAG system design. Zendesk offers a dynamic work environment with opportunities for growth, flexible working hours, and a strong commitment to diversity and inclusion.

Zendesk seeks a Staff Machine Learning Engineer to contribute to enhancing customer experience through machine learning and generative AI solutions, impacting over 125,000 global brands. The role involves architecting and building scalable ML/LLM applications, leading modern tooling approaches, managing end-to-end project life cycles, and mentoring team members. Applicants should have at least five years of experience in ML engineering, a strong background in deploying scalable systems, and proficiency in Python and big data technologies. Zendesk emphasizes a collaborative, inclusive work environment that encourages innovation and technical leadership, offering competitive compensation and career growth opportunities. The company is committed to diversity in the workplace and provides accommodations for applicants with disabilities.

Zendesk aims to enhance customer experience through its products, which serve over 125,000 global brands. The Enterprise Machine Learning team focuses on using data-driven insights and scalable machine learning solutions to facilitate decision-making across the organization. The Staff Data Scientist role involves leading the design and deployment of advanced ML solutions, particularly utilizing large language models (LLMs) and deep learning, while ensuring business value is prioritized. Candidates should possess at least five years of experience in data science, alongside strong technical skills in statistical modeling, programming, and scalable solution architecture. Zendesk offers a dynamic working environment encouraging innovation and professional growth, promoting diversity and inclusion within the workplace.