Staff Software Engineer, AI/ML, ML Infrastructure, Search Ads

Responsibilities

• Work across many different aspects of machine learning infrastructure and modeling.
• Change infrastructure (training and serving) to support new modeling techniques and products.
• Prototype new infrastructure, automation, workflows, and tooling. Analyze and debug performance, and make improvements.
• Improve robustness, reliability, and usability of infrastructure. Collaborate closely with other members of our team and partners to build systems that take advantage of and integrate seamlessly across our ecosystem.
• Engage with modeling teams to explore pain points and novel use cases. Research emerging technology and make trade-off decisions on immediate wins vs longer-term stability.
• - Work across many different aspects of machine learning infrastructure and modeling. - Change infrastructure (training and serving) to support new modeling techniques and products. - Prototype new infrastructure, automation, workflows, and tooling. Analyze and debug performance, and make improvements. - Improve robustness, reliability, and usability of infrastructure. Collaborate closely with other members of our team and partners to build systems that take advantage of and integrate seamlessly across our ecosystem. - Engage with modeling teams to explore pain points and novel use cases. Research emerging technology and make trade-off decisions on immediate wins vs longer-term stability.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum qualifications: - Bachelor’s degree or equivalent practical experience. - 8 years of experience programming in Python or C++. - 5 years of experience testing, and launching software products. - 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). - 3 years of experience with software design and architecture. - 2 years of experience with GenAI techniques (e.g., large language models, multi-modal, large vision models) or with GenAI-related concepts (e.g., language modeling, computer vision). Preferred qualifications: - Master’s degree or PhD in Engineering, Computer Science, or a related technical field. - 8 years of experience with data structures and algorithms. - 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects. - 3 years of experience in a technical leadership role leading project teams and setting technical direction.