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

Job summary

The developer will write and test system code while collaborating with stakeholders through design and code reviews. They are also responsible for triaging system issues and designing GenAI solutions using ML infrastructure.

Job details

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 software design and architecture. * 1 year 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). PREFERRED QUALIFICATIONS: * Master's degree or PhD in Computer Science or related technical field. * 5 years of experience with data structures/algorithms. * 1 year of experience in a technical leadership role. * Experience developing accessible technologies. ABOUT THE JOB: Google's software developers 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 software developers 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 developer, 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 software developers 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Canada: $182000 - $186000 (CAD) + 15% bonus target + equity + benefits Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/]. 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.

What you’ll do

The developer will write and test system code while collaborating with stakeholders through design and code reviews. They are also responsible for triaging system issues and designing GenAI solutions using ML infrastructure.

Requirements

Candidates must have a bachelor's degree and at least 5 years of programming experience in Python or C++. Additionally, they need 3 years of experience in ML infrastructure and software product maintenance.

Benefits

• Equity
• Bonus

Listed skills

• C++ · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• C++
• Machine Learning Infrastructure
• Model Deployment
• Model Evaluation
• Data Processing
• Software Architecture
• Generative AI
• Large Language Models
• Computer Vision
• Data Structures
• Algorithms
• Technical Leadership
• Debugging
• System Design
• Full Stack Development
• Generative Artificial Intelligence
• Language Models
• AI Research
• Google Cloud Platform (GCP)
• Service Operations
• Research
• Artificial Intelligence
• Software Development
• C++ (Programming Language)
• Code Review
• Computer Science
• Distributed Computing
• Finance
• Equities
• User Interface (UI) Design
• Leadership
• Push Technology
• Information Retrieval
• Python (Programming Language)
• Natural Language Processing (NLP)
• Software Design
• Systems Design
• Testability
• Triage
• Data Storage
• Enthusiasm
• User Feedback

Job areas

• Software
• Technology
• Science & Research
• Data & Analytics
• Engineering
• Google Cloud Architect
• Software Developer / Engineer
• Software Developers

More jobs from Google