Distinguished Engineer, Core ML
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Minimum qualifications:
- Bachelor's degree in Computer Science, similar technical field, or equivalent practical experience.
- 15 years of professional experience in engineering.
- Experience in AI platforms, AI Infrastructure, or Applied ML to solve problems.
- Experience in building ML systems.
Preferred qualifications:
- 20 years of professional experience in engineering.
- Experience in ML tooling or experiment systems.
- Ability to quickly ramp up in new subject areas with short notice to guide a few weeks of mission-critical research into large potential risks related to Google infrastructure usage.
- Technical expertise in systems and software with the leadership skills to influence technical leaders across the company.
- Expertise in reasoning and quantifying relative impacts and risks of technical work.
About the job
Google is a world leading ML/AI company. Google’s Core ML team aims to build state-of-the-art AI platforms, services and tools behind Google’s AI research and AI-empowered products. We are owners of Google AI framework (e.g., TensorFlow, JAX), AI performance and efficiency, AI training and inference platforms, AI compilers (e.g. XLA), AI software/hardware co-design (e.g. TPU), and AI developer experience (e.g., Model Hub, Eval Hub). Further, we are the driver to launch LMs (large models such as Gemini) from research to production and enable all Google products to adopt LMs to improve end user experiences. The Core ML team is responsible for planning and optimizing ML capacity for all Google products and driving performance and efficiency work to ensure we maximize ROI for all our AI investments. We look across Google’s AI products and AI research to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
As the Distinguished Engineer, you will lead the technical direction and roadmap for several major pillars of Core ML/CBS. You will work with Core ML’s partners and customers that are investing in ML to understand their needs, and then translate them into requirements on Core ML’s portfolio of products/services/platforms. You will work with PM, TPM and other technical leaders to drive the required changes into our products and to spec out new products where you identify gaps.
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 $349,000-$485,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 benefits at Google.
Responsibilities
- Produce well-understood and well-landed roadmaps for Core ML, including consulting on OKRs across the teams, reviewing designs, participating in and helping to resolve technical discussions, and driving high quality extensible engineering investments for Core ML.
- Develop a structure of other technical leads in the area, both by defining technical goals and orienting teams around technical decisions, and by providing development support to engineers in the area. Escalate to Directors or Vice Presidents about the lack of available technical leads, lack of resources, or challenges in development for the team.
- Provide leadership in critical situations or situations that require complex and immediate triaging, technical problems, other emergency work, and helping managers of associated teams understand the larger technical issues contributing to current challenges.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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