Senior Software Engineer, AI/ML, HR Engineering
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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 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:
- 7 years of experience in software-development with focus on design, development, and deployment of large-scale AI/ML applications.
- Experience in Python and with AI/ML libraries and frameworks (e.g., TensorFlow, JAX, scikit-learn, Pandas, NumPy).
- Experience architecting and deploying machine learning models in a cloud environment, with experience on Google Cloud Platform.
- Experience designing and implementing data processing pipelines using large-scale data engineering tools.
- Understanding of machine learning algorithms, statistical modeling techniques, and data analysis methodologies.
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.
We are seeking an experienced Senior AI Software Engineer to join the Human Resources Engineering (HRE) team in Hyderabad. You will be a technical lead, driving the design, development, and deployment of AI-powered solutions that impact Google's employees. This role offers the opportunity to work on Google-scale infrastructure, mentor a team of engineers, collaborate with cross-functional partners, and contribute to the future of HR at Google through AI applications. You will be responsible for translating business challenges and objectives into AI/ML systems.
At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.
Responsibilities
- Lead the technical design and architecture of AI/ML systems and infrastructure within HRE domain, ensuring scalability, reliability, and performance.
- Drive the development and implementation of advanced AI/ML models and algorithms relevant to HR applications (e.g., talent acquisition, performance management, employee engagement, workforce planning) using various programming languages (e.g., Python) and Google's internal AI/ML platforms and frameworks (built on technologies like TensorFlow, JAX).
- Architect and oversee the development of data pipelines using Google's data processing infrastructure (e.g., Beam, Dataflow) for large-scale data-ingestion, cleaning, transformation, and feature engineering.
- Take ownership of deployment, monitoring, and optimization of AI/ML models in Google's production environments, establishing standard procedures for ML Operations within the team.
- Provide technical leadership and mentorship to other engineers on the team, fostering a culture of technical excellence.
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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.
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