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Senior Software Engineer, AI/ML GenAI, Google Cloud AI

California, United States (On-site)

Senior Software Engineer, AI/ML GenAI, Google Cloud AI

1 Month ago • 5-8 Years • Artificial Intelligence

About the job

5 skills required for this role

Test your skills to join the top 1% applicants for this job

algorithms

computer-vision

data-structures

model-deployment

networking

Job Description

As a Senior Software Engineer, AI/ML GenAI at Google Cloud AI, you'll be responsible for developing and deploying next-generation technologies that power Google's products and services. You'll work on challenging and impactful projects, collaborating with a team of engineers and researchers to push the boundaries of AI. You'll leverage your expertise in Generative AI techniques, including Large Language Models, Multi-Modal AI, and Large Vision Models, to design and implement innovative solutions. You'll also be responsible for maintaining and optimizing ML infrastructure, ensuring that our AI models perform efficiently and effectively. This role offers the opportunity to contribute to cutting-edge research and bring transformative AI solutions to real-world applications.

Must have:

Bachelor's degree or equivalent experience
5 years of experience with software development
3 years of experience testing, maintaining, or launching software products
1 year of experience with software design and architecture
3 years of experience with state of the art GenAI techniques
3 years of experience with ML infrastructure

Good to have:

Master's degree or PhD in Computer Science or related technical field
1 year of experience in a technical leadership role
Experience developing accessible technologies

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Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical field.
1 year of experience in a technical leadership role.
Experience developing accessible technologies.

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.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

The US base salary range for this full-time position is $161,000-$239,000 + 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 for new hire 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

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.

View Full Job Description

$161.0K - $239.0K/yr (Outscal est.)

$200.0K/yr avg.

Sunnyvale, California, United States

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.