Software Engineer III, AI/ML at Google

📋 Job Details at a Glance 📍 Location Hyderabad, Telangana, India 🏢 Company Google 👥 Experience 0-2 years 🎓 Qualification Bachelor's degree in Computer Science 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹35 – ₹50 LPA (plus standard Google components like equity and performance bonuses) 🏢 Industry Technology 🛠 Key Skills machine learning speech processing audio processing reinforcement learning ML infrastructure code design code review model implementation Software Engineer III, AI/ML at Google — Full Details & How to Apply Embark on a transformative journey with Google as a Software Engineer III , specializing in AI/ML in Hyderabad . This role offers a unique opportunity to contribute to cutting-edge technology in a world-renowned company. With the demand for AI/ML expertise skyrocketing, this position is pivotal in shaping future technologies and applications that enhance user experiences. The Software Engineer III, AI/ML role at Google is not just another job; it’s a chance to be at the forefront of technological innovation. As industries increasingly rely on machine learning and artificial intelligence , your contributions will directly influence projects that drive business outcomes and improve user interactions. With a focus on speech processing , audio processing , and reinforcement learning , this position is essential for anyone looking to make a significant impact in the tech landscape. What sets Google apart as an employer is its unwavering commitment to fostering innovation, collaboration, and a culture of continuous learning. As a global tech giant, Google provides an environment where aspiring engineers can thrive. The company’s emphasis on ML infrastructure and code design ensures that you will work alongside industry leaders who are shaping the future of technology. The collaborative atmosphere encourages knowledge sharing and personal growth, making it an ideal workplace for those eager to advance their careers. This opportunity is perfect for freshers and candidates with up to 2 years of experience , particularly those holding a B.Tech or MCA degree. Eligible candidates include 2023, 2024, 2025, and 2026 graduates who are ready to dive into a fast-paced environment. If you have a passion for machine learning and a desire to work on transformative projects, this role is tailored for you. In this position, you will gain invaluable experience in cloud architecture , production-grade Java development , and Agile workflows . You will also have the chance to engage in code reviews and model implementation , allowing you to refine your technical skills and contribute to high-impact projects. The competitive salary, ranging from ₹35 – ₹50 LPA , along with standard Google components like equity and performance bonuses, makes this role even more appealing. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. If you’re ready to take the next step in your career, don’t miss out on this chance to apply online for the Software Engineer III, AI/ML position at Google . Job Role & Responsibilities The role of a Software Engineer III, AI/ML at Google is pivotal in advancing the company's AI capabilities. You will be at the forefront of designing and implementing innovative machine learning models that enhance user experiences across various platforms. Design and implement machine learning models that significantly enhance Google's AI capabilities, ensuring high performance and scalability. Utilize tools such as TensorFlow and PyTorch to develop and optimize algorithms specifically for speech and audio processing applications . Collaborate with cross-functional teams , including data scientists and product managers , to align AI initiatives with overarching business goals. Analyze and interpret data to measure the effectiveness of models, iterating based on performance metrics and user feedback to drive improvements. Take ownership of projects from conception to deployment, fostering a culture of innovation and accountability within your team. Document code and processes meticulously, ensuring clarity and maintainability for future development cycles and team members. Proactively identify and solve complex problems in AI/ML infrastructure , contributing to the evolution of Google's technology stack. Participate in code reviews to ensure high-quality standards and share knowledge with peers, enhancing the overall skill set of the team. This role embodies a culture of ownership where you will have the opportunity to make significant contributions to Google's AI initiatives, impacting millions of users worldwide. Required Skills & Technical Competencies The ideal candidate for the Software Engineer III, AI/ML position at Google should possess a robust skill profile that combines both technical and soft skills. This combination is essential for developing effective AI solutions that meet project requirements. Technical Skills Machine Learning (Intermediate) — foundational knowledge required for developing effective models that meet project specifications. Speech Processing (Intermediate) — essential for creating applications that enhance user interaction through voice recognition. Audio Processing (Intermediate) — critical for developing algorithms that improve audio quality and user experience. Reinforcement Learning (Intermediate) — knowledge of techniques necessary for contributing to advanced AI solutions. ML Infrastructure (Familiarity) — experience with tools like Kubernetes and Docker beneficial for deploying scalable applications. Code Design (Proficient) — ability to create efficient and maintainable code structures that support ongoing development. Code Review (Proficient) — skill in reviewing code to ensure quality and adherence to best practices. Model Implementation (Proficient) — experience in deploying machine learning models into production environments. Soft Skills & Professional Competencies Analytical Skills — strong ability to interpret complex data and derive actionable insights. Communication Skills — essential for articulating complex technical concepts clearly to non-technical stakeholders. Team Collaboration — ability to work effectively within cross-functional teams to achieve common goals. Problem-Solving — adept at identifying issues and developing innovative solutions in a fast-paced environment. Good to Have (Bonus) Git — familiarity with version control systems for collaborative development. JIRA — experience in project management tools for tracking progress and issues. AWS — knowledge of cloud services for deploying machine learning applications . To effectively showcase these skills in your resume or interview, highlight relevant projects, contributions to open-source platforms like GitHub , and any certifications in AI/ML that demonstrate your expertise and commitment to the field. Eligibility Criteria This role is designed for 2023, 2024, 2025, and 2026 graduates who are eager to kickstart their careers in a leading tech company like Google . Ideal candidates include both freshers and those with up to 2 years of experience . Candidates must hold a Bachelor's degree in Computer Science or a related field to ensure a strong foundational knowledge. Eligible batches include 2023, 2024, 2025, and 2026 passouts. Minimum CGPA of 7.0 is preferred to demonstrate academic excellence and commitment to the field. Prior internship or hands-on project experience is a strong advantage for applicants. Strong foundational knowledge in machine learning principles is essential. Portfolio showcasing relevant projects, GitHub contributions, or certifications in AI/ML will significantly strengthen your application. Documentation & Portfolio Requirements Prepare a well-structured resume that highlights your academic achievements, relevant projects, and any contributions to open-source platforms. Ensure your GitHub profile is up-to-date with projects that demonstrate your skills in AI/ML and related technologies. Pro Tip: Tailor your application to emphasize your passion for AI/ML and any relevant projects or internships to improve your success rate in securing an interview for this role. Salary & Benefits 💰 Compensation ₹35 – ₹50 LPA (plus standard Google components like equity and performance bonuses) The compensation philosophy at Google emphasizes attracting top talent for the role of Software Engineer III, AI/ML by offering a ₹35 – ₹50 LPA (plus standard Google components like equity and performance bonuses) salary range, complemented by additional components such as equity and performance bonuses. This approach ensures that employees feel valued and motivated to contribute to the company’s innovative projects. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Equity Options — potential for stock options that align with company performance Performance Bonuses — annual bonuses based on individual and company performance metrics Flexible Work Arrangements — options for hybrid or remote work to promote work-life balance Learning & Development Programs — access to extensive training and mentorship opportunities Additional Perks & Benefits Free Meals — daily complimentary meals to enhance workplace satisfaction Transportation Allowance — support for commuting costs to and from the office Wellness Programs — initiatives aimed at promoting mental and physical health Career Advancement Opportunities — clear pathways for promotions and internal mobility Employee Discounts — exclusive deals on various products and services Career Progression & Salary Growth At Google , employees can expect regular performance reviews, typically conducted every 6 months , which can lead to salary raises of 10% to 15% based on performance. Promotion timelines are generally structured, allowing for rapid career advancement within the organization, especially for those demonstrating strong skills in AI/ML . NexisGrow.com tip: When negotiating your salary, emphasize your unique skills and experiences in AI/ML that can add value to Google . Selection Process The hiring philosophy at Google focuses on identifying candidates who not only possess the technical skills required for the Software Engineer III, AI/ML role but also align with the company's values and culture. This multi-step selection process ensures a thorough evaluation of each candidate's potential. 1 Round 1: Application Screening — Initial screening of applications to shortlist candidates based on qualifications and experience. 2 Round 2: Technical Interview — A coding challenge focused on problem-solving skills and knowledge of AI/ML concepts. 3 Round 3: Behavioral Interview — Assessment of cultural fit, teamwork, and alignment with Google 's values. 4 Final Stage: Offer Presentation — Presentation of the job offer and completion of a background check. What Each Round Tests Round 1 evaluates your qualifications and experience relevant to the Software Engineer III, AI/ML role. Round 2 focuses on your technical abilities, particularly in AI/ML and coding. Round 3 assesses your soft skills and how well you fit within the Google culture. Timeline & Expectations The entire selection process typically takes 4-6 weeks from application submission to offer. Candidates can expect timely communication from Google regarding their application status and next steps. Interview Prep Tip: Familiarize yourself with Google 's interview style by practicing coding challenges and behavioral questions. How to Apply for Software Engineer III, AI/ML at Google Apply Now — Google Create Your Profile — Visit the application portal and set up your profile. Update Your Resume — Highlight relevant projects and experiences that align with the Software Engineer III, AI/ML role. Fill Out the Application Form — Complete all sections of the application form accurately. Submit Your Application — Ensure all documents are attached before submission. Track Your Application — Monitor your application status through the portal for updates. Resume & Profile Tips for This Role Highlight AI/ML Projects — Showcase any personal or academic projects related to AI/ML . Emphasize Technical Skills — Include proficiency in Python , TensorFlow , and other relevant technologies. Showcase Problem-Solving Abilities — Provide examples of how you've solved complex problems in previous roles. Include Relevant Internships — Mention any internships or hands-on project experience in the tech field. Note: Applications are reviewed on a rolling basis, so applying early can increase your chances of consideration. Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the Software Engineer III role at Google? Eligibility Tap to expand + Answer Candidates must have a Bachelor's degree in Computer Science, be from the 2023-2026 batches, and possess relevant skills in AI/ML. ? What is the interview process for Software Engineer III at Google? Interview Tap to expand + Answer The interview process includes an initial screening, a technical coding interview, and a behavioral interview to assess fit. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with TensorFlow, PyTorch, and other ML infrastructure tools to develop and optimize AI models. ? What is the salary and compensation for this role? Salary Tap to expand + Answer The salary ranges from ₹35 – ₹50 LPA, with additional components like equity and performance bonuses. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer This role is primarily onsite in Hyderabad, with potential for hybrid work arrangements depending on project needs. ? What is the career growth path after joining Google as Software Engineer III? Growth Tap to expand + Answer You can expect clear promotion pathways within 6-12 months, with opportunities for internal mobility and skill enhancement. ? How should I prepare for the Software Engineer III interview at Google? Preparation Tap to expand + Answer Focus on mastering AI/ML concepts, practicing coding challenges, and preparing to discuss your projects and experiences. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the official career link, ensuring your resume highlights relevant skills and projects. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is typically a probation period of 6 months, focusing on performance evaluation and integration into the team. ? What is the work culture like at Google? Culture Tap to expand + Answer Google's culture emphasizes collaboration, innovation, and inclusivity, fostering an environment where employees can thrive. Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. 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