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Job Description
In most instances, this position requires in-person interviews as part of the hiring process.Minimum qualifications:
- Bachelors degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience with ML design and end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
- 5 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.
- Experience in a technical leadership role, managing a team of engineers.
- Experience with Generative AI (e.g., Large Language Models (LLMs), diffusion models), development workflows, and use cases.
- Masters degree or PhD in Machine Learning, Artificial Intelligence, Computer Science, or a related quantitative field.
- 8 years of experience with data structures and algorithms.
- Experience designing automated evaluation frameworks and experimentation for generative AI and ML systems.
- Experience in one or more adjacent domains including Content Moderation, Conversational AI, Multimodal Fusion, or Truth Synthesis systems.
- Experience in people management within cross-functional environments.
- Ability to align and influence stakeholders across multiple engineering, product, and operations organizations.
Googles 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. Were 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 Googles 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 Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.
The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.
Responsibilities
- Define the multi-year ML direction, modeling roadmap, and shared objectives and key results with partners while leading, mentoring, and growing a team of engineers.
- Architect and optimize sub-second ML/Large Language Models (LLM) inference and agentic reasoning loops enabling real-time intent resolution, adaptive follow-up questioning, and moderation transparency.
- Lead the transition from fragmented models to unified joint-modeling architectures.
- Advocate scalable evaluation frameworks spanning structured facts and unstructured claims, active learning pipelines, and synthetic data generation to maximize model performance.
- Cultivate engineering excellence across the organization.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Googles EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Skills
Artificial IntelligenceData ProcessingMachine LearningLarge Language ModelsAiMlLlmLlmsGenerative AiMultimodalModel EvaluationAgenticNatural Language ProcessingModel DeploymentIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
Google India Careers 2025
Google is a global technology leader best known for its search engine, cloud computing, advertising platforms, consumer hardware, and AI innovations. Founded in 1998 by Larry Page and Sergey Brin, and headquartered in Mountain View, California, Google entered the India market in 2004 and now operates major campuses in Bengaluru, Hyderabad, Gurugram, and Mumbai. In India, Google serves billions of users through products like Search, YouTube, Android, Google Cloud, and Google Pay, while also investing heavily in digital inclusion and AI‑driven innovation.
Business Model – Google operates as a multi‑segment technology company, generating revenue primarily from advertising (Google Ads, YouTube Ads), cloud services (Google Cloud Platform, Workspace), hardware sales (Pixel devices, Nest), and subscription products (YouTube Premium, Google One). In India, Google’s business model blends B2C scale with B2B enterprise solutions, enabling it to serve both individual users and large organisations. The company’s AI‑first strategy integrates machine learning and generative AI across all products, from Search to Workspace, to deliver personalised, efficient, and secure experiences.
Recent Wins & Recognition –
- In 2024, Google Cloud India deepened its strategic alliance with PwC India to deliver Generative AI solutions across industries, leveraging Vertex AI and Gemini models to transform enterprise operations. (https://www.pwc.in/press-releases/2024/google-cloud-pwc-india-enhance-strategic-alliance-transform-enterprise-solutions-generative-ai.html)
- Google announced a ₹1,000 crore investment in India’s AI ecosystem under the IndiaAI Mission, focusing on AI research, skilling, and start‑up incubation. (https://blog.google/intl/en-in/company-news/outreach-initiatives/google-ai-india-2024-investment/)
- YouTube India surpassed 600 million monthly active users, launching new AI‑powered creator tools to boost content quality and monetisation. (https://blog.youtube/press/)
- Google was recognised among the Top 3 Best Workplaces in India 2024 by Great Place to Work® Institute, highlighting its inclusive culture and employee well‑being programs. (https://www.greatplacetowork.in/best-workplaces-in-india-2024/)
Culture & Values – Google’s core values include focus on the user, innovation, integrity, and respect for the individual. The company fosters a collaborative, open, and inclusive work environment, encouraging employees to spend 20% of their time on passion projects. In India, Google actively supports digital literacy, women in tech, and sustainability initiatives, while offering flexible work models, world‑class learning resources, and global mobility opportunities.
Client‑Facing & Internal Domains – Google India
Search & Knowledge Products
What it is – Google’s core product family, including Google Search, Google Maps, Google News, and Google Lens. India‑based roles include:
- Search Quality & Ranking – Algorithm tuning, spam detection, and relevance optimisation.
- Geo & Maps Data – Mapping accuracy, local business integration, and navigation features.
- Knowledge Graph & AI – Semantic search, entity linking, and generative AI integration.
YouTube & Content Platforms
What it is – Google’s video and creator ecosystem, including YouTube, YouTube Music, and YouTube Shorts. India‑based roles include:
- Creator Partnerships – Onboarding and supporting content creators.
- Content Policy & Moderation – Ensuring compliance with community guidelines.
- Product Growth & Monetisation – Ad formats, subscriptions, and engagement tools.
Google Cloud Platform (GCP)
What it is – Enterprise cloud services for compute, storage, AI, and analytics. India‑based roles include:
- Cloud Solutions Architecture – Designing enterprise cloud deployments.
- Data & AI Engineering – Vertex AI, BigQuery, and ML pipelines.
- Customer Engineering – Pre‑sales technical consulting and onboarding.
Ads & Commerce
What it is – Google’s advertising and commerce products, including Google Ads, AdSense, Google Shopping, and Merchant Center. India‑based roles include:
- Campaign Optimisation – Performance marketing and bid strategy.
- Product Management – Ad formats, targeting, and measurement tools.
- Merchant Solutions – E‑commerce integrations and seller support.
Hardware & Devices
What it is – Consumer electronics like Pixel phones, Nest smart home devices, and Chromebooks. India‑based roles include:
- Hardware Engineering – Device design, testing, and localisation.
- Supply Chain & Ops – Vendor management and logistics.
- Retail & Channel Partnerships – Distribution and sales enablement.
Internal Functions
What it is – Corporate and enabling teams that support Google’s global operations. India‑based roles include:
- People Operations (HR) – Talent acquisition, L&D, and employee engagement.
- Finance & Legal – Compliance, contracts, and budgeting.
- IT & Security – Infrastructure, cybersecurity, and enterprise tools.
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