Google: Staff Software Engineer – Machine Learning

Job Description

As a Staff Software Engineer specializing in Machine Learning at Google, you will play a pivotal role in developing next-generation technologies that impact billions of users worldwide. This role emphasizes designing, deploying, and scaling ML-powered systems for products like Google Photos, search, recommendations, pricing, and personalization engines. You will work on large-scale ML projects, ensuring systems are reliable, efficient, and explainable while solving complex challenges across data, algorithms, and system architecture. Your work will directly influence user experiences, engagement, and business outcomes by applying advanced machine learning and engineering expertise at global scale.

You will also serve as a technical leader, guiding engineering teams on ML infrastructure, model deployment, performance optimization, and debugging. Collaboration with cross-functional teams including product managers, data scientists, and software engineers is critical to align machine learning solutions with business goals and customer needs. You will have opportunities to explore novel ML algorithms, design scalable models for recommendation and personalization systems, and ensure the highest levels of software quality and performance.

This position demands not only technical excellence but also mentorship and leadership skills. You will foster a culture of engineering excellence, provide design guidance, and mentor junior engineers while influencing strategic decisions in ML product development. Google values engineers who combine strong analytical thinking, creativity, and communication skills to solve ambitious problems, delivering world-class ML solutions that transform the way users interact with technology.

Roles & Responsibilities

• Lead the technical vision and long-term strategy for ML-powered personalization, pricing, and recommendation systems.

• Design, develop, and scale production-grade ML systems with a focus on performance, reliability, and model explainability.

• Mentor and guide engineers, fostering growth, promoting best practices, and cultivating a high-performing engineering culture.

• Identify and implement high-impact ML applications to drive user engagement, growth, and business success.

• Develop and deploy complex machine learning models for new product tiers, offer optimization, and recommender systems.

• Collaborate closely with cross-functional teams to ensure alignment of ML solutions with product and business objectives.

• Analyze and process large-scale datasets using frameworks such as SQL, Spark, MapReduce, and Python.

• Establish robust monitoring, debugging, and evaluation processes for deployed ML models.

• Drive innovation by exploring novel algorithmic approaches, tools, and methodologies in machine learning and AI.

• Communicate technical goals, progress, and insights effectively to executive leadership and stakeholders.

Requirements & Eligibility

• Bachelor’s degree or equivalent practical experience in Engineering, Computer Science, or related field.

• 8+ years of software development experience with a minimum of 5 years in testing, launching software products, and 3 years in software design and architecture.

• 5+ years of experience in ML domains such as speech/audio, reinforcement learning, ML infrastructure, or specialized ML fields.

• Hands-on experience with ML design and deployment, including model evaluation, data processing, debugging, and fine-tuning.

• Experience developing ML models for recommender systems, pricing optimization, user modeling, or computational advertising.

• Proven track record of architecting and deploying large-scale ML systems efficiently.

• Strong programming skills in Python, SQL, and familiarity with large-scale data frameworks such as Spark or MapReduce.

• Excellent communication skills with the ability to convey technical goals and complex concepts to executives and cross-functional teams.

• Preferred: Master’s or Ph.D. in Engineering, Computer Science, or related technical field.

• Preferred: Experience mentoring engineers and leading technical projects in machine learning.

Expected Salary

A Staff Software Engineer – Machine Learning at Google India typically earns an annual salary range of ₹50,00,000 to ₹85,00,000 INR, depending on experience, skills, and performance. This compensation is complemented by benefits such as performance bonuses, stock options, health insurance, and professional development programs, reflecting Google’s commitment to attracting and retaining top technical talent.

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