Customer Solutions Engineer

Google LLC; Austin (TX); Vor Ort; USD 127.000 - 183.000; Vollzeit

Zusammenfassung

Google LLC is seeking a Customer Solutions Engineer to design Generative AI solutions on Google Cloud for enterprise customers in Austin, TX. The role involves building prototypes, optimizing models, and delivering scalable ML architectures.

The candidate will work with Vertex AI, TensorFlow and PyTorch, and must have strong ML pipeline design and system-thinking skills. This is a full-time onsite role with competitive compensation and benefits.

Qualifikationen

• Bachelor’s degree in Computer Science, Information Systems, Computer Engineering, or related field with 3 years of experience in the job offered or in a Customer Solutions Engineer-related occupation.
• Alternative: Master’s degree in Computer Science, Information Systems, Computer Engineering, or related field with 1 year of experience in the job offered or in a Customer Solutions Engineer-related occupation.
• Experience with applied machine learning techniques using VertexAI and ML frameworks (TensorFlow, PyTorch).
• Experience training and fine-tuning large-scale models with accelerators and designing ML data pipelines.

Aufgaben

• Advise customers on business objectives to design Generative AI solutions using the Google Cloud stack.
• Develop application prototypes, tune models for performance, and troubleshoot complex issues.
• Engineer end-to-end solutions by scoping requirements, writing production-quality code, and ensuring policy compliance.
• Create reusable assets like scripts and templates to accelerate adoption for customers and internal teams.
• Collaborate with product/strategy teams to advocate for enterprise customer requirements and drive enablement.

Kenntnisse

Applied ML techniques

Vertex AI

TensorFlow

PyTorch

Model training & fine-tuning

Performance optimization

Ausbildung

Bachelor’s degree in CS/IS/CE or related field

Master’s degree in CS/IS/CE or related field

Tools

Vertex AI

TensorFlow

PyTorch

Jobbeschreibung

corporate_fare Google place Austin, TX, USA

• Bachelor’s degree in Computer Science, Information Systems, Computer Engineering, or a related field and 3 years of experience in the job offered or in a Customer Solutions Engineer-related occupation.
• Alternatively, will accept a Master’s degree in Computer Science, Information Systems, Computer Engineering, or a related field and 1 year of experience in the job offered or in a Customer Solutions Engineer-related occupation.
• Position requires 1 year of experience in the following: Applied machine learning techniques (including deep learning, natural language processing, computer vision, or pattern recognition) using VertexAI; Using AI/ML frameworks such as TensorFlow or PyTorch; Training and fine-tuning large scale models with accelerators including VertexAI; Performance and cost optimization for machine learning models; and Systems design for data and ML pipelines, and ML training and serving approaches.

About the job

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 $127,000 - $183,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google.

Responsibilities

• Advise customers on their business objectives to design and architect comprehensive Generative AI-driven solutions using the full Google Cloud stack.
• Demonstrate Google Cloud's value by developing application prototypes, tuning models for optimal performance, and troubleshooting complex technical issues.
• Engineer end-to-end solutions by scoping requirements, writing production-quality code, and ensuring compliance with engineering and data policies.
• Create reusable technical assets, including scripts, templates, and reference architectures, to accelerate adoption for both customers and internal teams.
• Collaborate cross-functionally with product and strategy teams to influence platform direction by advocating for enterprise customer requirements. Engage in account business planning to identify new opportunities and coordinate with leadership to deliver technical enablement for field and partner organizations.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.