Generative AI Engineering Lead

WeAreTechWomen; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Google in the United States seeks a machine learning engineering leader to spearhead development and deployment of novel generative AI applications. You will translate AI research into real-world products, drive feature development, and lead engineering teams across partnerships to maximize impact.

The role focuses on building scalable infrastructure and features, mentoring engineers, and scaling products from concept to production in a fast-paced environment.

Qualifications

• Bachelor's degree or equivalent practical experience in Electrical Engineering, Computer Engineering, Computer Science, or related field.
• 8 years of software development experience including system design, data structures and algorithms.
• 7 years leading technical project strategy, ML design and scalable ML infrastructure.
• 5 years in a technical leadership role with people management experience.

Responsibilities

• Lead the development and deployment of scalable generative AI applications leveraging Google's models.
• Drive rapid feature development, collaborate with partner teams to deliver impactful solutions.
• Translate AI research into real-world products and demonstrate capabilities of latest models.
• Build and ship software, and mentor engineering teams, especially in early-stage environments.
• Develop strong relationships with research teams and drive product and business impact.

Job description

Google in the United States seeks a machine learning engineering leader to spearhead development and deployment of novel generative AI applications. You will translate AI research into real-world products, drive feature development, and lead engineering teams across partnerships to maximize impact.

The role focuses on building scalable infrastructure and features, mentoring engineers, and scaling products from concept to production in a fast-paced environment.