Google machine learning jobs involve developing and deploying cutting-edge AI technologies. The jobs require engineers and researchers to work on machine learning (ML) projects ranging from natural language processing to computer vision, which impact products like Google Search, Google Assistant, and Google Photos.
We present to you the top 10 various machine learning job roles that Google USA offers. At the time of writing, we have found that Google is seeking for these ML jobs.â€
Google Machine Learning Jobs
Machine Learning roles covered at Google cover those requiring hands-on skills like Machine Learning Software Engineer, Senior Embedded Software Engineer and Senior Software Developer to a few that focus primarily on decision-making and problem-solving like Product Engineer, and Senior Director.â€
AI/ML Engineer, Google Cloud
Also learn: How to Become Machine Learning Engineer?
The Google machine learning job of AI/ML Engineer specializing in Google Cloud requires designing, implementation, and deploying machine learning models and AI solutions using Google Cloud’s suite of tools and services.
Base Salary:$142,000-$211,000 + Bonus, Equity and Other Benefits
Minimum Qualifications:
- Bachelor’s degree in Computer Engineering, Computer Science, or a related field, or equivalent practical experience
- 6 years of experience in machine learning or deep learning systems
- 6 years of coding experience with one or more programming languages (e.g., Java, C/C++, Python)
- Experience in technical troubleshooting and management of internal/external partners and customers.
Preferred Qualifications:
- Expertise in optimization of large language models (LLMs) using RAG architectures and fine-tuning techniques
- Experience with recommendation engines, data pipelines, or distributed machine learning
- Proficiency with data analytics, data visualization software and techniques
- Sound understanding of deep learning frameworks such as TensorFlow, PyTorch, and XGBoost
- Deep knowledge of REST APIs, web security mechanisms and other web standards
- Capability to lead the design and implementation of AI-based solutions, web services, and debugging tools
Job Responsibilities:
- Configure and deploy virtual agents and machine-learning solutions
- Support Google Cloud implementations with architecture guidance, best practices, migration, capacity planning, and troubleshooting
- Consult with customers on how to best design their conversational AI and machine learning solutions
- Deploy solutions and deliver workshops to educate and empower customers
- Work closely with product management and product engineering to drive excellence in Google Cloud products and features
Google Machine Learning Jobs: Software Engineer III, Machine Learning, YouTube
The Google machine learning job of Software Engineer III specializes in Machine Learning at YouTube, The role involves advanced software engineering tasks for development and integration of machine learning solutions to enhance YouTube’s capabilities.
Base salary: $136,000-$200,000 with Bonus, Equity, and Other Benefits.
Minimum Qualifications:
- Bachelor’s degree in computer science, computer engineering, or equivalent practical experience
- Minimum 2 years of software development experience in one or more programming languages
- Minimum 2 years of programming experience with data structures in either academic or industry setting
- Minimum 2 years of experience with machine learning algorithms and tools
Preferred Qualifications:
- Master’s degree or PhD in computer science or related technical field
- Minimum 2 years of experience with performance, large-scale systems, data analysis, visualization tools, and debugging
- Experience in developing accessible technologies
- Proficiency in software test engineering, code and system health, diagnosis and resolution
Job Responsibilities:
- Develop and deploy machine learning models and algorithms for various applications
- Analyze and process large datasets for training and evaluation of models
- Implement scalable ML systems and infrastructure
- Optimize model performance and system efficiency
- Conduct code reviews and ensure best practices in coding and ML methodologies
- Debug and resolve ML-related issues and system bottlenecks
Senior Software Developer, Machine Learning, Google Cloud Platforms
This is the Google Machine Learning Job of Senior Software Developer specializing in Machine Learning on Google Cloud Platforms. It requires leading the design, development, and deployment of sophisticated machine learning solutions on Google’s cloud infrastructure.
Base Salary: $136,000-$200,000 with bonus + equity + benefits
Minimum Qualifications:
- Bachelor’s degree in computer science or computer engineering or equivalent practical experience
- Minimum 5 years of experience in software development with C++ or Java, with data structures/algorithms
- Minimum 3 years of experience in testing, maintenance or launch of software products, with 1 year of experience with software design and architecture
- Minimum 3 years of experience with ML/AI algorithms and tools, deep learning or natural language processing.
Preferred Qualifications:
- Master’s degree or PhD in computer science, computer engineering or related technical field
- 1 year of experience in a technical leadership role
- Experience in developing accessible technologies
Job Responsibilities:
- Write and test product or system development code
- Lead or participate in design reviews with peers and stakeholders to select amongst available technologies
- Review the code of developers and provide necessary feedback, as and when required, to ensure best practices
- Create, review, and update documentation or content for software products and applications
- Debug and resolve errors by analyzing the sources of hardware, network, or service operations and quality
Also read: Top Senior Software Engineer Interview Questions Asked in Tech Interviews
Multimedia Machine Learning Architect
The Multimedia Machine Learning Architect involves design and implementation of advanced machine learning solutions tailored for multimedia data. This Google machine learning job role requires deep understanding of machine learning, multimedia processing, and system architecture.
Base Salary: $127,000-$187,000 + Bonus + Equity + Benefitsâ€
Minimum Qualifications:
- Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering or a related field, or equivalent practical experience.
- Minimum 3 years of experience with machine learning or multimedia technologies
- Proficiency in computer architecture, DSP circuits, VLSI, or RTL.
- Experience with Machine Learning frameworks such as TensorFlow,, PyTorch, Numpy etc.
Preferred qualifications:
- Atleast a Master’s Degree or PhD in Computer Science, Electrical Engineering, or a related field.
- Experience in machine learning architecture and computer hardware architecture design.
- Experience in the functioning of mobile cameras, computational photography techniques, and depth sensing cameras
- Understanding of machine learning and image/video/display processing algorithms for mobile photography applications
Job Responsibilities:
- Analyze key machine learning workloads to identify hardware acceleration opportunities
- Explore design space and map user experience to hardware and software components on SoC
- Design ML acceleration architecture with comprehensive architectural and quality analyses
- Work with algorithm owners to design hardware-friendly networks
- Collaborate with research, algorithm, product managers, and hardware/software/SoC architecture teams at various design stages
- Deliver comprehensive architecture specifications and analyses
Senior Director of Engineering, Machine Learning Compiler
The Senior Director of Engineering for Machine Learning Compiler, leads and oversees the development of compiler technologies specifically designed to optimize the performance of machine learning models.
Base Salary: $323,000-$465,000 + bonus + equity + benefits
Minimum Qualifications:
- Minimum 15 years of experience in compiler development
- Minimum 10 years of experience of leading, mentoring and growing technical teams.
- Experience in machine learning frameworks like Jax, PyTorch and TensorFlow
Preferred Qualifications:
- Masters in computer science or related field
- Proficiency in building compilers for custom hardware architectures
- Expertise in computer architecture and high-performance computing
- Experience in development of open-source compiler projects
Job Responsibilities:
- Define long-term strategic vision and roadmap for ML compiler technology
- Lay down technical direction, goals, and development priorities for the team
- Recruit, mentor, and develop a skilled team of compiler engineers with prime focus on ML optimization
- Foster a work environment that is collaborative, inclusive, and focused on achievement
- Collaborate with research, product, hardware, and core ML teams to ensure alignment
- Drive effective collaboration to optimize compiler solutions for Google’s custom TPU and GPU strategies
- Enhance system performance and provide new hardware support by utilizing deep expertise in compilers and machine learning
- Understand customer needs and ensure compiler capabilities that enable their success
- Promote innovation within the teams
Product Engineer, Machine Learning and GPU Accelerators
This Product Engineer role specializes in Machine Learning and GPU Accelerators. It involves development and optimization of machine learning solutions that leverage GPU acceleration for enhanced performance
Base Salary: $129,000-$191,000 + Bonus + Equity + Benefits
Minimum Qualifications:
- Bachelor’s degree or equivalent practical experience
- Minimum 2 years of experience in software development in one or more relevant programming languages / 1 year of software development experience with a Master’s degree in a relevant field
- Minimum 2 years of experience with data structures or algorithms
Preferred Qualifications:
- Master’s degree or PhD in computer science, or a related technical field
- Proficiency in machine learning and high-performance computing (HPC)
- Experience in optimizing programs at distributed scale
- Proficiency in C++ and compilers
- Ability to debug and program concurrent/parallel computations
Job Responsibilities
- Lead design reviews with peers and stakeholders to decide amongst available technologies
- Contribute to developing a compiler that scales machine learning models across multiple accelerators.
- Conduct static and run-time performance analysis of critical large-scale production models
- Design and implement performance optimizations and critical features
Also Read: Product Manager Roles and Responsibilities
Customer Engineer, Machine Learning, Google Cloud
This Customer Engineer role specializes in Machine Learning on Google Cloud. This Google Machine Learning job involves working directly with customers to help them understand, design, and implement machine learning solutions using Google Cloud’s suite of tools and servicesâ€
Base Salary: $159,000-$239,000 + bonus + equity + benefits
Minimum Qualifications
- Bachelor’s degree or equivalent practical experience
- Minimum 10 years of experience as a sales engineer or technical consultant in a cloud computing environment or customer-facing role
- Proficiency in virtualization or cloud native architectures in a customer-facing or support role
- Expertise with big data, machine learning, and numerical programming frameworks
Preferred Qualifications
- Master’s degree in computer science, computer engineering or a related technical field
- Expertise in the development of machine learning solutions and utilization of specialized machine learning architectures
- Experience in development of software or infrastructure for scalable, distributed systems
- Proficiency in data and information management, particularly concerning big data trends and business challenges
- Ability to quickly learn, comprehend, and work with emerging technologies, methodologies, and solutions in the cloud/IT space
Job Responsibilities
- Coordinate between teams to identify business opportunities, address technical objections of customers, and develop strategies to resolve issues
- Lead in providing machine expertise, fostering technical relationships, and conducting product briefings
- Partner with the product management team to prioritize solutions for customer adoption of Google Cloud
- Demonstrate and prototype Google Cloud product integrations in customer environments
- Use Google Cloud best practices to recommend integration strategies, architectures, platforms, and infrastructure
Senior Product Manager, Machine Learning Frameworks, Google Cloud
This Senior Product Manager Job focuses on Machine Learning Frameworks at Google Cloud. Role plays a pivotal role in strategizing, develop and deliver machine learning frameworks and tools offered on the platform.
Base Salary: $142,000-$214,000 + bonus + equity + benefits
Minimum Qualifications
- Bachelor’s degree or equivalent amount of practical experience.
- Minimum 10 years of sales engineer or technical consultant experience in a cloud computing environment or customer-facing role
- Experience in virtualization or cloud native architectures
- Experience with big data, machine learning and numerical programming frameworks
Preferred Qualifications
- Master’s degree in computer science, computer engineering or a related technical field.
- Experience in building machine learning solutions and leveraging specific machine learning architectures
- Experience in software or infrastructure development for scalable, distributed systems
- Experience in data and information management
- Should be a quick learner who can understand and work with new emerging technologies
Responsibilities
- Collaborate between teams to identify business opportunities, address technical objections of customers, and devise strategies to overcome technical blockers.
- Offer machine learning expertise to support Google’s technical relationships with customers, including dthelivering product briefings and proof-of-concept work.
- Partner with product management team to prioritize solutions that enhance customer adoption of Google Cloud.
- Work with customers to demonstrate and prototype Google Cloud product integrations in their environments.
- Recommend integration strategies, architectures, platforms, and infrastructure to implement complete solutions using Google Cloud best practices.
Machine Learning Software Engineer, Search
This Machine Learning Software Engineer job specializes in enhancement of Search experience of users. This Google Machine Learning Job centers on developing and enhancing machine learning algorithms and models to improve the search experience for users. â€
Base Salary: $142,000-$214,000 + Bonus + Equity + Benefits
Minimum Qualifications
- Bachelor’s degree in computer science or engineering or equivalent practical experience.
- Minimum 8 years of experience in software development and with data structures/algorithms.
- Minimum 5 years of experience in testing and launching software products, with 3 years in software design and architecture.
- Minimum 5 years of experience with machine learning algorithms and tools
Preferred Qualifications
- Experience in successful application of machine learning approaches to real-world personalization problems
- Experience in utilization of deep learning frameworks such as TFX or TFlex
- Proven experience in development of large language models
- Knowledge of statistical methods with strong mathematical skills
- Proficiency in Python programming language
Responsibilities
- Enhance search and recommendation systems for diverse applications to develop and deploy personalized large language models (LLMs).
- Conduct applied research on innovative LLM techniques for specific product use cases.
- Collaborate with research, search, discovery, and shopping teams to integrate LLMs into products and services.
- Establish partnerships and collaborations with product and research teams to create and direct roadmaps for search and discovery personalization.
Also Read: Google Machine Learning Engineer Interview Prep
Senior Embedded Software Engineer, Machine Learning Runtime
The Senior Embedded Software Engineer specializes in development and optimization of software that enables the execution of machine learning models on embedded devices
Base Salary: $161,000-$239,000 + Bonus + Equity + Benefits
Minimum Qualifications:
- Bachelor’s degree in computer science, data science or equivalent practical experience
- Minimum 5 years of software development experience with using C++ and embedded systems
- Minimum 3 years of experience in testing, maintaining, or launching software products
- Minimum 2 years of experience with software frameworks for mobile ML or graphics
Preferred Qualifications:
- Master’s degree or PhD in Computer Science,
- Expertise in embedded system software or ML systems.
- Experience with machine learning algorithms and computer architecture.
- Experience with on-device machine learning (e.g., NLP, image and computer vision, on-device Generative AI).
- Experience in mobile platforms such as Android or iOS.
Responsibilities:
- Deploy machine learning (ML) models on mobile devices by developing on-device runtime software stack
- Enable large on-device models by tracking and driving performance and power optimizations
- Provide support to customers by quickly deploying their ML models to the Tensor Processing Unit (TPU).
- Prototype and enable new use cases on Tensor SoCs in collaboration with application software teams
- Participate in, or lead technical design reviews with peers and stakeholders.
Also read: Google Interview Preparation: The 4-Week Study Plan
Google Machine Learning Job Preparation With Interview Kickstartâ€
Getting a Machine Learning Job at Google can be a challenging task. One needs to have a combination of qualifications and experience to qualify for the tech-intensive machine learning interviews at Google.
Interview Kickstart’s machine learning course helps aspiring candidates to clear these interviews. The course provides comprehensive knowledge of all machine learning concepts with hands-on experience with live projects.
The course is designed and taught by FAANG+ instructors.
Enroll now to learn how to optimize your LinkedIn profile, personal branding, resume preparation, and more.
Read the Interview Kickstart Reviews to understand how we can add value to your journey to becoming a software manager.
FAQs: Machine Learning Jobs that Google offers
Does Google Hire Beginners?
Google hires both beginners and experienced professionals. The company shortlists candidates on the basis of qualifications and skills. However, prior professional experience is not a must have to get shortlisted for entry-level positions in Google.
Can a Normal Person Get a Job at Google?Â
Yes, any person with appropriate qualifications can apply for a job at Google. However, they’ll need to do some heavy interview preparation before they attempt to have an interview with them.â€
How to Get a Machine Learning Job at Google?
One needs to have appropriate qualifications and experience to apply for a machine learning job in Google. He should at least have a Bachelor’s degree or equivalent practical experience in software development, proficiency in one or more programming languages, and data structures/algorithms. In addition, years of experience testing, maintaining and/or launching software products is also required.
What Are the Highest Paying Job Roles at Google?
At Google, the highest-paying roles typically include executive-level positions and leadership roles, especially those within technical areas such as engineering and product management.
Related Articles:â€
