Senior Software Engineer, AI/ML GenAI, GCP

Google LLC

Seattle, WA

JOB DETAILS
SKILLS
Algorithms, Alliance/Partner Marketing, Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, Best Practices, Business Development, C++ Programming Language, Cloud Computing, Cloud Storage, Code Reviews, Computer Science, Computer Vision, Consulting, Customer/Client Research, Data Processing, Data Science, Data Storage, Data Structures, Debugging Skills, Disability Insurance, Distributed Computing, Documentation, English Language, Equal Employment Opportunity (EEO), GCP (Good Clinical Practices), Genetics, German Language, Google Chrome Browser, Hindi Language, Information Retrieval, Information/Data Security (InfoSec), Internet Search, Laboratory, Laboratory Management, Large-Scale Systems, Leadership, Leading Edge Technology, Life Insurance, Marketing, Modeling Languages, Natural Language Processing (NLP), Network Design, Network Operations Center, Organizational Skills, Product Management, Product Programs, Product Strategy, Product Testing, Product/Service Launch, Project/Program Management, Python Programming/Scripting Language, Recruiting/Staffing Agency, Regulatory Requirements, Sales, Scientific Research, Software Architecture, Software Architecture Design, Software Engineering, Style Guide, Technical Leadership, Technical Support, Test Plan/Schedule, Testability, Testing, Trade-Off Analysis, User Interface Design
LOCATION
Seattle, WA
POSTED
30+ days ago

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Senior Software Engineer, AI/ML GenAI, GCP

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corporate_fareGoogleplaceSeattle, WA, USA

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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XIn 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

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.

  • 5 years of experience programming in Python or C++.

  • 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

  • 3 years of experience testing, maintaining, or launching software products.

  • 1 year of experience with Generative AI (GenAI) techniques (e.g., Large Language Models, Multi-Modal, Large Vision Models) or GenAI-related concepts (e.g., language modeling, computer vision).

  • 1 year of experience with software design and architecture.

Preferred qualifications:

  • Master"s degree or PhD in Computer Science or related technical field.

  • 5 years of experience developing cloud-based storage systems.

  • 5 years of experience with data structures/algorithms.

  • 1 year of experience in a technical leadership role.

  • Experience working on (GCP) Google Cloud Platform.

About the job

Google"s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We"re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

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 $174,000-$252,000 + 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

  • Write and test product or system development code.

  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)

  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.

  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

  • Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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