Google Cloud Machine Learning Engineer Jobs in Bothell, WA

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This role may also be located in our Playa Vista, CA campus.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Mountain View, CA, USA; Los Angeles, CA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA.
Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.
• Experience engaging with, or presenting to, technical stakeholders or executive leaders.
• Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops.

Preferred qualifications:

• Experience selling technical solutions in one or more of the following: infrastructure modernization, application modernization, data management, data analytics, cloud AI, networking, migrations, security.
• Experience managing and optimizing massive-scale Kubernetes deployments.
• Expertise in advanced container networking issues at a massive scale, including implementing IPv6 dual-stack pods, Class E IPv4 addressing, and configuring architecture to overcome high-capacity VPC peering limits.
• Familiarity with accelerating AI/ML workloads on Kubernetes such as managing GPU/TPU allocations and optimizing accelerator resource fungibility across environments.

About the job
The Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions and government agencies - see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a Platform Customer Engineer (CE), you will partner with technical Sales teams to differentiate Google Cloud to customers. You will serve as the customer's primary technical partner and trusted advisor, engaging in technical-led conversations to understand their business issues. You will troubleshoot technical questions and roadblocks, engage in proofs-of-concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve these business issues. You will use your strategic acumen and presentation skills to engage with technical and business leaders, and present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills.
You will focus on identifying, pursuing, and winning new business workloads and driving engagement within existing ones. You will have a breadth of technical expertise, spanning infrastructure modernization, application modernization, data analytics and more.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $152000 - $222000 (USD) 42.86% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities

• Develop and own the technical account plan and strategy, participating in planning and supporting targeted sales motions.
• Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud Platform across the portfolio through demos, pilots and in-depth workshops.
• Architect cross-pillar solutions, drive technical wins, and define initial delivery plans for customers; continue to lead the technical engagement in the solution phase.
• Collaborate with capacity and Site Reliability Engineering (SRE) teams to proactively de-risk Google Kubernetes Engine (GKE) clusters ahead of massive seasonal traffic spikes through optimizations and advanced capacity planning.
• Facilitate the post-sales transition and overall delivery life-cycle by supporting pricing activities, handing off the final plan to implementation teams, and providing ongoing support to cross-functional teams during the ramp, migration, and delivery phases.

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