AI Research Software Engineer, Code Search at Google

📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Google 👥 Experience 2-3 years 🎓 Qualification Bachelor's degree or equivalent experience 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹18 – ₹35 LPA 🏢 Industry Technology 🛠 Key Skills software development speech/audio RL ML infrastructure ML AI Research Software Engineer, Code Search at Google — Full Details & How to Apply Google is seeking a talented AI Research Software Engineer in Bengaluru, India to revolutionize code search. This role offers a unique opportunity to work at the forefront of AI technology in a world-class environment, where innovation meets real-world application. As the demand for efficient code search solutions grows, this position is pivotal in shaping the future of software development. The AI Research Software Engineer, Code Search role is crucial as it directly impacts the efficiency and accuracy of code search, a growing need in the tech industry. With the rapid evolution of software development practices and the increasing complexity of codebases, the ability to swiftly and accurately search through code has become essential. This role not only enhances productivity for developers but also contributes to the overall advancement of AI technologies in software engineering. What makes Google stand out as an employer for this role is its unwavering commitment to innovation and cutting-edge technology. Working at Google means being part of a culture that fosters creativity and encourages collaboration among some of the brightest minds in the industry. With access to state-of-the-art resources and a focus on continuous learning, employees are empowered to push the boundaries of what’s possible in AI and software development. This position is ideal for both freshers and candidates with up to 2 years of experience . Candidates must hold a B.Tech, B.E., MCA, or M.Tech degree and be from the 2023, 2024, 2025, and 2026 batches. This role is particularly suited for those who are passionate about AI and eager to make a significant impact in the tech landscape. If you have a strong foundation in software development and a keen interest in machine learning, this is your chance to join a leading organization. As an AI Research Software Engineer , you will gain invaluable experience in cloud architecture , production-grade Java development , and Agile workflows . You will be involved in developing algorithms that enhance code search capabilities, significantly impacting developers worldwide. This role not only offers a competitive salary ranging from ₹18 – ₹35 LPA but also provides opportunities for rapid career advancement and exposure to advanced AI technologies. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting, ensuring that you have the most accurate and up-to-date information to apply online for this AI Research Software Engineer, Code Search position at Google . Job Role & Responsibilities The role of an AI Research Software Engineer at Google is pivotal in advancing the capabilities of code search technologies. By developing innovative algorithms, you will enhance the user experience and streamline software development processes. Develop and implement advanced algorithms for code search, focusing on improving user efficiency and satisfaction. Utilize machine learning frameworks such as TensorFlow or PyTorch to create scalable ML infrastructure that supports high-performance applications. Collaborate with cross-functional teams , including product managers and UX designers, to ensure technical solutions align with user needs and expectations. Analyze performance metrics to iterate on algorithms, ensuring continuous improvement and delivering high-quality outputs. Take ownership of projects, driving them from conception to deployment while fostering a culture of innovation and accountability. Document processes and results clearly to facilitate knowledge sharing and maintain high standards of communication within the team. Identify and solve complex problems in code search technology , pushing the boundaries of current capabilities and enhancing overall system performance. Participate in code reviews and provide constructive feedback to peers, promoting best practices in software development. This role embodies a strong ownership culture, where your contributions will directly impact the efficiency and effectiveness of software development at Google . Required Skills & Technical Competencies The ideal candidate for the AI Research Software Engineer position at Google should possess a robust skill profile that combines software development expertise with a strong foundation in machine learning. This unique blend is essential for driving innovation in code search technologies. Technical Skills Software Development (Proficient) — essential for building robust applications that meet user requirements and enhance code search capabilities. Machine Learning (Intermediate to Advanced) — particularly in reinforcement learning (RL) , to optimize algorithm performance and user experience. ML Infrastructure (Intermediate) — ensuring effective contributions to scalable solutions that support high-demand applications. Python (Advanced) — crucial for developing and deploying applications, particularly in the context of machine learning. Java (Intermediate) — valuable for backend services and ensuring seamless integration with existing systems. Data Analysis (Proficient) — required for analyzing performance metrics and iterating on algorithms for continuous improvement. Soft Skills & Professional Competencies Analytical Thinking — ability to dissect complex problems and derive actionable insights. Effective Communication — essential for collaborating with diverse teams and articulating technical concepts clearly. Time Management — skill in prioritizing tasks and managing project timelines effectively. Team Collaboration — fostering a cooperative environment with cross-functional teams to drive project success. Good to Have (Bonus) Git — experience with version control systems for collaborative software development. JIRA — familiarity with project management tools to track progress and manage tasks. Cloud Platforms (AWS, GCP) — knowledge of cloud services to enhance scalability and deployment. To effectively showcase these skills in your resume or during interviews for the AI Research Software Engineer role, highlight relevant projects, internships, and any contributions to open-source initiatives that demonstrate your technical and collaborative abilities. Eligibility Criteria This role is designed for enthusiastic candidates eager to innovate in the tech industry, particularly those who are recent graduates or have limited experience in software engineering. Candidates must hold a Bachelor's degree in Computer Science , Engineering , or a related field. Eligible batches include 2023, 2024, 2025, and 2026 passouts, targeting recent graduates. A minimum CGPA of 7.0 is preferred, reflecting a strong academic background in technical subjects. Prior internship or hands-on project experience is a strong advantage, showcasing practical skills. Strong problem-solving abilities and effective communication skills are essential for success in this role. Documentation & Portfolio Requirements Prepare a well-structured resume that highlights your academic achievements, relevant projects, and any internships. Additionally, a GitHub portfolio showcasing your coding skills and contributions to projects will significantly enhance your application. Pro Tip: Tailor your application to emphasize your experience with machine learning and software development projects, as these are critical for the AI Research Software Engineer role at Google . Salary & Benefits 💰 Compensation ₹18 – ₹35 LPA The compensation philosophy at Google for the role of AI Research Software Engineer is designed to attract top talent in the competitive technology landscape. The salary range for this position is ₹18 – ₹35 LPA , reflecting the company's commitment to providing a competitive salary that aligns with industry standards and employee performance. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Retirement Benefits — contributions to provident fund and pension schemes Performance Bonuses — annual bonuses based on individual and company performance Stock Options — opportunity to own shares in a Fortune 500 company Flexible Work Hours — options for hybrid work to support work-life balance Additional Perks & Benefits Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Subsidized Meals — healthy meal options at a reduced cost Transport Allowance — financial support for commuting expenses Wellness Programs — initiatives focused on physical and mental health Employee Assistance Programs — resources for personal and professional challenges Career Progression & Salary Growth At Google , career growth is emphasized through regular promotions and an internal promotion policy . Employees can expect annual performance appraisals that typically result in salary raises of 10-15% . The company encourages rapid career advancement with opportunities for internal mobility every 1-2 years. NexisGrow.com tip: When negotiating your salary, emphasize your unique skills and experiences that align with the role to justify a higher starting salary. Selection Process The hiring philosophy at Google focuses on finding candidates who not only possess the necessary technical skills but also fit well within the company culture. The selection process for the AI Research Software Engineer role is designed to evaluate both technical and interpersonal skills. 1 Round 1: Application Screening — Initial review of applications to assess qualifications and fit for the role. 2 Round 2: Technical Interview — Focus on problem-solving skills and technical knowledge relevant to AI and software development. 3 Round 3: Behavioral Interview — Evaluation of cultural fit and communication skills within team dynamics. 4 Final Stage: Offer Presentation — Includes a background check and discussions on salary and benefits. What Each Round Tests Round 1 assesses your qualifications and overall fit for the AI Research Software Engineer role. Round 2 focuses on your technical expertise, particularly in Python and AI algorithms . Round 3 evaluates your problem-solving abilities and how well you communicate within a team. Timeline & Expectations The entire selection process typically takes 4-6 weeks from application submission to final 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, which often includes real-world problem-solving scenarios and coding challenges. How to Apply for AI Research Software Engineer, Code Search at Google Apply Now — Google Step 1: Click the Apply button or visit the official career link to initiate your application. Step 2: Fill in your profile/resume, highlighting relevant projects and experiences that align with the job requirements. Step 3: Expect a confirmation email outlining the next steps in the screening process, including potential timelines. Step 4: Prepare for the interviews by reviewing technical concepts and practicing communication skills . Step 5: Track your application status through the Google careers portal. Resume & Profile Tips for This Role Highlight Relevant Experience — Showcase any projects related to AI or software development. Emphasize Technical Skills — Include proficiency in Python , React.js , and MySQL . Showcase Problem-Solving Abilities — Provide examples of how you've tackled complex challenges. Include Soft Skills — Mention your communication skills and ability to work in teams. Applications are accepted on a rolling basis, so early submission is encouraged to increase your chances. 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 AI Research Software Engineer role at Google? Eligibility Tap to expand + Answer Candidates must have a Bachelor's degree in a relevant field, be from the eligible batches (2023-2026), and possess 2-3 years of experience or be freshers with strong skills. ? What is the interview process for the AI Research Software Engineer at Google? Interview Tap to expand + Answer The interview process includes an initial screening, a technical interview focusing on AI and software skills, followed by a behavioral interview. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with machine learning frameworks like TensorFlow and PyTorch, alongside programming languages such as Python or Java. ? What is the salary and compensation for this role? Salary Tap to expand + Answer The salary range is ₹18 – ₹35 LPA, with opportunities for performance bonuses and growth based on contributions. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer This role is primarily onsite in Bengaluru, with potential hybrid options depending on team requirements. ? What is the career growth path after joining Google as an AI Research Software Engineer? Growth Tap to expand + Answer You can expect a structured growth path with opportunities for promotions and internal mobility within 6-12 months. ? How should I prepare for the AI Research Software Engineer interview at Google? Preparation Tap to expand + Answer Focus on enhancing your problem-solving skills, review machine learning concepts, and practice coding challenges relevant to the role. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the official link, ensuring your resume highlights relevant projects and experiences that align with the job description. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Typically, there is a probation period of 3-6 months, focusing on performance evaluation and integration into the team. ? What is the work culture like at Google? Culture Tap to expand + Answer Google promotes a collaborative and inclusive work culture, emphasizing continuous learning, innovation, and employee well-being. 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. Naukri ki baat, NexisGrow ke saath • NexisGrow.com