Software Engineering Manager II, AI/ML Recommendations, Rankings, Predictions, YouTube

Google
Mountain View, CA, USA

About the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day.

Responsibilities

Set and communicate team priorities that support the broader organization's goals.

Align strategy, processes, and decision-making across teams.

Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals.

Meet regularly with individuals to discuss performance and development and provide feedback and coaching.

Develop the mid-term technical vision and roadmap within the scope of your (often multiple) team(s).

Evolve the roadmap to meet anticipated future requirements and infrastructure needs.

Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.

Lead the design and implementation of recommendation systems, optimize ML infrastructure, and guide the development of model architecture.

Qualifications

Minimum

Bachelor’s degree or equivalent practical experience.

8 years of experience in software development.

2 years of experience leading ML design or optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

2 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, embedding) in production and experience building architecture in different modeling domains.

2 years of experience in a technical leadership role.

2 years of experience in a people management or team leadership role.

Preferred

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.