Known for pioneering innovation and technology, Google seeks the best talent to execute on that mission. Of the 1,000 jobs available, the Machine Learning Engineer role is the one most focused on developing the technologies that will shape the next frontier. These technologies will shape how billions of people interact with each other and the information they use to connect and explore.
Striving to be the pinnacle of innovative research and development, Google has become the promised land for people who are passionate about machine learning and artificial intelligence. We outline the latest Machine Learning Engineer job openings at Google, explaining the required qualifications, the role of this particular job, and the opportunities for growth at Google.
Software Engineer, Machine Learning, Google Ads
Software Engineer is Google's latest Machine Learning Engineer job. This role requires:
Minimum Qualifications
Bachelor's degree or equivalent work experience.
1 year of software development experience in one or more programming languages (e.g. Python, C, C++, Java, JavaScript, etc.).
One year experience with data structures or algorithms.
Preferred Qualifications
Master's or PhD in Computer Science or related technical field.
1 year of experience with machine learning algorithms and tools such as TensorFlow, Artificial Intelligence, Deep Learning, and Natural Language Processing.
Experience developing accessible technology.
About the job
As software engineers at Google, we are constantly working on large-scale technological developments that drive our work, but also challenge us to continually generate new ideas across a range of technology areas, including information search, distributed computing, and large-scale systems design.
You'll find well-rounded, enthusiastic engineers with a drive to tackle new problems across the full stack, which means not only is there potential for continuous growth and project switching in this dynamic environment, but you're perfectly aligned with Google's rapid business evolution.
Application Link:
Apply here
Audio Machine Learning Engineer
The Audio Machine Learning Engineer is one of Google's newest machine learning jobs. Requirements for this role include:
Minimum Qualifications
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science or related field or equivalent work experience.
Programming experience in C/C++ or Python and experience with machine learning.
Preferred Qualifications
A Master's degree in Signal Processing, Data Science, or Machine Learning.
3 years of experience in AI/ML algorithms and tools (e.g. TensorFlow), deep learning, and natural language processing.
Experience in audio, voice, machine learning, DSP and embedded systems.
Excellent analytical, problem-solving, communication and teamwork skills.
job description
The candidate will work on designing robust AI solutions to problems in human-computer interaction and solve those problems through ML projects on voice and audio applications using generative AI and large scale language models. This role will include optimizing ML models for memory and performance for models deployed on Google hardware. This will also involve working collaboratively with various cross-functional teams to develop ML models that run on Google devices. This will be one of the key roles of the Devices and Services team, improving user experience through advanced computational interactions.
responsibility
Work on ML projects using voice and audio applications.
Optimize memory and performance for your ML deployments.
Work with multiple teams on ML requirements.
This will enhance and streamline the process of deploying models on Google hardware.
Application Link:
Apply here
Program Manager: Machine Learning Data Operations
Preferred Qualifications
Proven experience in vendor operations/vendor management.
Excellent ability to define and execute projects within deadlines with multiple stakeholders.
High energy and flexible in a fast-paced, ever-changing work environment.
You are adept at dealing with ambiguity and have the ability to influence and communicate effectively cross-functionally at all levels of management.
Excellent verbal and written communication skills.
About the job
As a Program Manager at Google, you will lead multi-disciplinary projects, end-to-end projects, planning requirements with stakeholders, manage project schedules, identify risks and communicate progress. This position will deliver on many initiatives, promote diversity, equity, and inclusion, and articulate and reinforce Google ML's commitment to infrastructure. This role is necessary to elevate our developer tools and infrastructure as one Google to deliver successful projects across our global operations.
responsibility
We drive large-scale projects from conception to launch.
Monitor, measure, and communicate project progress and risks.
Involved in global planning including budgeting and project prioritization.
Expand pilots and improve AI models and key launch dates.
Therefore, this is considered as one of Google’s machine learning roles to check out.
Application Link:
Apply here
Senior Software Engineer, Machine Learning Google Cloud
About the job
Software engineers develop the technologies that enable digital transformation in many organizations. Key role requirements include processing large amounts of information, versatile problem solving, and designing, developing and contributing to software solutions. Engineers in this role must manage project priorities, deadlines and deliverables to ensure high quality and the smooth adoption of new technologies. Specific Responsibilities
Write and test product or system development code.
Participate in design reviews and provide feedback
Review code developed by colleagues for best practices
Documentation and educational content creation
Debugging and resolving system issues that cause problems with service operations
Application Link:
Apply here
Staff Software Engineer – AI/ML, Google Cloud
Minimum Qualifications
Bachelor's degree or equivalent work experience
8 years of experience in software development working with data structures/algorithms
5 years of experience in software product testing and release
3 years of experience in software and design architecture
3 years of AI/ML related engineering experience
2 years experience in human resources management
Preferred Qualifications
Experience working with multi-functional teams across different time zones
Knowledge of enterprise customers and AI/ML frameworks.
Ability to develop and provide solutions for deploying ML/HPC systems
About the role
Led the solutions engineering team that defines the reference architecture for AI/ML platforms on Google Cloud. Build solutions for deploying common ML/HPC systems, validate system configurations, and maintain the reference architecture. This is a key position at Google Cloud that helps provide customer support for enterprise customer usage and digital transformation.
During his term
Manage a team of engineers in defining the AI/ML platform architecture.
We design and provide ML/HPC system deployment solutions.
Identify system configurations that are valuable to your customers.
Maintaining updates to the reference architecture.
Application Link:
Apply here
Software Engineer, Machine Learning III: Search
Minimum Qualifications
Bachelor's degree or equivalent work experience.
Two years of experience in software development using any programming language or one year of experience with an advanced college degree.
Two years of experience working with data structures or algorithms in an academic or industry environment.
Preferred Qualifications
Master's or PhD in Computer Science or related technical field.
2+ years of experience using machine learning algorithms and tools (e.g. TensorFlow), artificial intelligence, deep learning, and natural language processing, with experience developing accessible technology.
About the job
Building the next generation of information retrieval technology requires large-scale systems design. Engineers work in a collaborative, fast-paced environment where they are encouraged to work on innovative ideas and interesting projects specific to Google's needs.
Application Link:
Apply here
Conclusion
Google's latest Machine Learning Engineer jobs are packed with the right jobs that offer you the opportunity to advance your technology. These Google jobs are about more than just coding; they require you to solve big problems, collaborate, and innovate at every step. With jobs across different teams and specialties, Google gives engineers a platform to grow and contribute while making an impact on the world. Whether you're a recent graduate or an experienced professional, Google offers a diverse and inclusive environment, providing opportunities for professional development and a sense of belonging for everyone.
