Staff Software Engineer, Data and Model Insights and Infrastructure

Responsibilities

• Lead the design and architecture of highly complex ML pipelines and distributed systems, ensuring they meet long-term scalability and reliability goals.
• Drive the adoption of next-generation AI/ML techniques to solve ambiguous, high-impact business problems, moving from conceptual prototypes to global production.
• Set the "gold standard" for code quality, testing, and deployment within the team, performing deep-dive architectural reviews and optimizing system performance.
• Mentor executive and mid-level engineers, fostering a culture of technical growth, and represent the team in high-level technical discussions across the broader organization.
• Partner with researchers to operationalize models and work with product stakeholders to align technical roadmaps with user needs.
• - Lead the design and architecture of highly complex ML pipelines and distributed systems, ensuring they meet long-term scalability and reliability goals. - Drive the adoption of next-generation AI/ML techniques to solve ambiguous, high-impact business problems, moving from conceptual prototypes to global production. - Set the "gold standard" for code quality, testing, and deployment within the team, performing deep-dive architectural reviews and optimizing system performance. - Mentor executive and mid-level engineers, fostering a culture of technical growth, and represent the team in high-level technical discussions across the broader organization. - Partner with researchers to operationalize models and work with product stakeholders to align technical roadmaps with user needs.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum qualifications: - Bachelor’s degree or equivalent practical experience. - 8 years of experience in software development. - 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. - 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. - 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). - Experience integrating generative AI tools or LLM interfaces into workflows. 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 in a technical leadership role leading project teams and setting technical direction. - 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. - 2 years of experience with technical innovation in data governance or related fields. - Experience with machine learning and privacy data handling.