Senior Software Engineer, AI/ML, Google Cloud
Google · Hyderabad, Telangana, India
- On site
- Full-time
- $150,000 / year
- Hyderabad, Telangana, India
Job highlights
- Develop next-generation technologies at Google Cloud.
- Work on AI/ML projects at massive scale.
- Collaborate on design, code reviews, and testing.
- Solve critical business problems for global clients.
- Opportunity to switch teams and projects.
About the role
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 Senior Software Engineer, AI/ML, Google Cloud, 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.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 solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
Minimum Qualifications
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience programming in Python or C++.
- 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 one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 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.
- 5 years of experience with data structures/algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
Key skills/competency
- Software Engineering
- AI/ML
- Google Cloud
- Python
- C++
- Machine Learning
- Speech Recognition
- Reinforcement Learning
- ML Infrastructure
- Data Structures
Skills & topics
- Senior Software Engineer
- AI/ML
- Google Cloud
- Python
- C++
- Machine Learning
- Software Development
- Cloud Computing
- System Design
- Artificial Intelligence
How to get hired
- Tailor your resume: Highlight your Python/C++ experience, AI/ML projects, and Google Cloud exposure.
- Showcase leadership: Emphasize any technical leadership roles and your ability to mentor.
- Prepare for technical interviews: Brush up on data structures, algorithms, and ML concepts.
- Demonstrate problem-solving: Be ready to discuss complex challenges and your solutions.
- Understand Google's culture: Research their values and how AI/ML contributes to their mission.
Technical preparation
Master Python and C++ programming.,Review data structures and algorithms.,Study ML concepts and infrastructure.,Practice cloud deployment and optimization.
Behavioral questions
Describe a complex ML project you led.,How do you handle design and code reviews?,Share an instance of debugging critical issues.,How do you contribute to documentation and feedback?
Frequently asked questions
- What are the key technical skills required for the Senior Software Engineer, AI/ML, Google Cloud role at Google?
- The Senior Software Engineer, AI/ML, Google Cloud role at Google requires a strong foundation in programming languages like Python or C++, with at least 5 years of experience. You'll need 3 years of experience in software testing, maintenance, or launch, plus 1 year in software design and architecture. A significant requirement is 3 years of experience in AI/ML specializations such as speech/audio processing, reinforcement learning, or ML infrastructure, including model deployment, evaluation, and optimization.
- What is the preferred educational background for this Google Cloud AI/ML engineering position?
- While a Bachelor’s degree or equivalent practical experience is the minimum requirement for the Senior Software Engineer, AI/ML, Google Cloud position, Google prefers candidates with a Master's degree or PhD in Computer Science or a related technical field. This advanced education often correlates with deeper expertise in specialized AI/ML areas.
- How does Google Cloud leverage AI/ML engineers?
- Google Cloud utilizes AI/ML engineers to accelerate digital transformation for organizations worldwide. These engineers develop and implement enterprise-grade solutions using Google's cutting-edge technology, helping clients solve critical business problems and achieve growth. The role involves working on projects critical to Google's needs in areas like information retrieval, distributed computing, and large-scale system design.
- What kind of experience is valued for a technical leadership role in AI/ML at Google?
- For technical leadership in AI/ML at Google, the company values candidates with approximately 1 year of experience in a technical leadership role. This, combined with at least 5 years of experience in data structures/algorithms and a strong track record in AI/ML, demonstrates the capability to guide projects and teams effectively.
- Can you explain the 'Speech/audio' specialization for the AI/ML role at Google?
- The 'Speech/audio' specialization within the AI/ML field at Google refers to work involving technologies that replicate and respond to the human voice. This can include areas like speech recognition, natural language processing, voice synthesis, and audio analysis, all crucial for developing advanced conversational AI and voice-enabled services within Google Cloud.
- What does 'ML infrastructure' experience entail for this Google role?
- Experience with 'ML infrastructure' for this Google role involves working with the systems and tools that support the machine learning lifecycle. This includes model deployment, ensuring models can be effectively put into production; model evaluation, assessing performance and accuracy; optimization, fine-tuning models for efficiency; and robust data processing pipelines.
- What are the work location options for the Senior Software Engineer, AI/ML, Google Cloud position?
- When you apply for the Senior Software Engineer, AI/ML, Google Cloud position at Google, you will have the opportunity to indicate your preferred working location from Bengaluru, Karnataka, India, or Hyderabad, Telangana, India.