Google

Software Engineering Manager, AI/ML, Geo

Posted On

Oct. 29, 2024

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

Nov. 14, 2024

Job Description

Design, guide, and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Lead a team of software engineers, driving technical strategy and execution of key AI/ML projects, and ensuring timely delivery and quality.
Contribute to the development and implementation of AI/ML solutions, ensuring their scalability and maintainability.
Develop the mid-term technical idea and roadmap within the scope of the team, evolve the roadmap to meet anticipated future requirements and infrastructure needs, set and communicate team priorities that support the broader organization's goals, and align strategy, processes, and decision-making across teams.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), or applied ML (e.g., deep learning, natural language processing).
3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
3 years of experience working in a changing organization.
Knowledge of AI/ML algorithms, techniques, and tools.
Ability to lead technical projects and deliver results.
Excellent problem-solving, analytical, and communication skills.

Bachelor's degree or equivalent practical experience.
8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), or applied ML (e.g., deep learning, natural language processing).
3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.

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. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.

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