Engineering Manager, Core Machine Learning, Google Cloud

3 Months ago • 8-18 Years • Artificial Intelligence • $189,000 PA - $284,000 PA

Job Summary

Job Description

As an Engineering Manager for Core Machine Learning at Google Cloud, you will lead and mentor a team of engineers, setting technical direction and overseeing the development and deployment of large-scale machine learning projects. Responsibilities include setting team priorities, aligning strategies across teams, providing performance feedback and coaching, developing a mid-term technical roadmap, designing and reviewing systems, and ensuring code quality. The role requires significant experience in software development (C++), machine learning algorithms (TensorFlow), and technical leadership. You will work on projects related to artificial intelligence, deep learning, natural language processing, and high-performance computing.
Must have:
  • 8+ years software development (C++)
  • 5+ years machine learning experience (TensorFlow)
  • 5+ years design, architecture, testing/launching software
  • Technical leadership and team management
  • Set and communicate team priorities
Good to have:
  • Master's/PhD in Computer Science
  • Experience in a complex organization
  • Experience with HPC
  • Experience with compilers
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

Minimum qualifications:

  • Bachelor’s degree, or equivalent practical experience.
  • 8 years of experience with software development in C++ programming language.
  • 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.
  • 5 years of experience with design and architecture; and testing/launching software products.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or a related technical field.
  • 3 years of experience working in a complex, matrixed organization.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • Experience with Machine Learning and High Performance Computing (HPC).
  • Experience in C++.
  • Experience in compilers.

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. 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.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

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 team. 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.
  • Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

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