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Google, known for innovativeness and leading with technology, is on the lookout for the best talent who can execute its mission. Among a thousand careers, the position of a Machine Learning Engineer is the most focused on developing technology that will form a part of the next frontiers. Those technologies would be shaping how billions of people interact with one another and with the information that they use to connect and explore.
In its pursuit to be at the very top of innovative research and development, Google has become a promised land for those getting passionate about machine learning or artificial intelligence. We will outline some of Google's latest job openings for Machine Learning Engineers, pointing out the required qualifications, job roles in that particular position, as well as growth opportunities at Google.
Software Engineer is the Google's Latest Job Openings for Machine Learning Engineers. This role requires the following:
Bachelor's degree or equivalent practical experience.
1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
1 year of experience with data structures or algorithms.
Master's degree or PhD in Computer Science or a related technical field.
1 year of experience with machine learning algorithms and tools, e.g.; TensorFlow, artificial intelligence, deep learning, and/or natural language processing.
Experience in developing accessible technologies.
Software engineers at Google are constantly in the process of developing technology on a large scale. It's what fundamentally keeps the wheels there spinning, but also, demands an ongoing stream of fresh ideas from a wide diversity of technical arenas, including information retrieval, distributed computing, and large-scale system design.
Versatile and enthusiastic engineers with an appetite for new problems across the full stack will thrive. This implies that not only will there be possibilities for continuous growth and switching projects in this dynamic environment, but also that this is completely in tune with the high-speed business evolution at Google.
Application Link:
Audio Machine Learning Engineer is another of Google's Latest Job Openings for Machine Learning. Following are the criteria for this job role:
BS degree in Electrical Engineering, Computer Engineering, Computer Science or related field, or equivalent practical experience.
Experience in programming with either C/C++ or Python as well as experience in Machine Learning.
MS degree in Signal Processing, Data Science, or Machine Learning.
3 years of experience in AI/ML algorithms and tools (e.g. TensorFlow), deep learning or natural language processing.
Experience in audio, speech, Machine Learning, DSP, and Embedded Systems.
Excellent analytical, problem-solving, communication, and team working skills.
The candidate will work on designing robust AI solutions for problems in human-computer interaction and solve them through ML projects on speech and audio applications by using generative AI and Large Language Models. This role will include ML model optimization for memory and performance of models that will be deployed on Google hardware. This will also involve working collaboratively with various cross-functional teams and developing ML models to run on Google Devices. This is one of the core roles in the Devices & Services team—developing improved user experiences via advanced computing interactions.
Work on projects in ML with speech and audio applications.
Optimize memory and performance for ML deployment.
Work with cross-teams for ML requirements.
Enhance and smooth the process of model deployment on Google hardware.
Application Link:
Proven experience in vendor operations/vendor management.
Strong ability to define projects and execute within timelines and with many stakeholders.
High energy and flexibility in a fast pace, constantly changing work environment.
Adept at handling ambiguity and an ability to influence and effectively communicate cross-functionally at all management levels.
Strong oral and written communication skills.
As a Program Manager at Google, you will lead multidiscipline projects, end-to-end, and planning requirements with stakeholders, manage project schedules, identify risks and communicate progress. The position will implement many initiatives, promote diversity, equity, and inclusion, and help articulate and solidify Google ML endeavors for infrastructure—this role is a requirement to elevate developer tooling and infrastructure as one Google toward successful project execution in the global operation.
Drive large projects from concept to launch.
Monitor, measure, and communicate project progress and risks.
Involve in global planning such as budgeting and project prioritization.
Drive pilots to scale, and improve AI models and critical launch dates.
Hence, it is considered one of the Google's machine learning roles to check for.
Application Link:
Software engineers develop technologies to enable digital transformation across many organizations. Huge-scale information handling, versatile problem-solving, designing and developing software solutions, contributing are the key role requirements. Engineers in the role must take care of project priorities, deadlines, and deliverables that can be managed in a way to ensure high quality and smooth deployment of new technology. Specific Responsibilities
Write and test product or system development code.
Attend design reviews and provide feedback
Review peer-developed code for best practices
Documentation and education content creation
Debugging and issues resolution of system issues creating problems for service operations
Application Link:
Bachelor's degree or equivalent practical experience
8 years of experience in software development working with data structures/algorithms
5 years of experience in testing and launching software products
3 years of software and design architecture experience
3 years of experience in engineering AI/ML related
2 years of experience with managing people
Experience working with cross-functional teams in different time zones
Knowledge of enterprise customers and AI/ML frameworks.
The ability to develop and deliver solutions to deploy ML/HPC systems
Led a team of solution engineers who defined reference architectures for AI/ML platforms on Google Cloud. Build solutions to deploy common ML/HPC systems, validating system configurations and maintaining reference architectures. This is an important position on Google Cloud that will help us provide customer support for the use of enterprise customers and digital transformation.
During your tenure
Manage a team of engineers in the definition of AI/ML platform architectures.
Design and deliver ML/HPC systems deployment solutions.
Identify valuable system configurations for customers.
Maintain an update of reference architectures.
Application Link:
Bachelor's degree or equivalent practical experience.
2 years of experience developing software using any programming language or 1 year of experience with an advanced university degree.
2 years of experience working with data structures or algorithms in an academic or industry setting.
Master's degree or Ph.D. in Computer Science or related technical field.
2 years of experience working with machine learning algorithms and tools (e.g. TensorFlow), artificial intelligence, deep learning, and natural language processing. Also, experience in making accessible technologies.
Building future generations of information retrieval technology involves large-scale system design. Engineers should be encouraged to work on their innovative ideas and a project of interest specific to Google's needs in a collaborative, fast-paced work environment.
Application Link:
Google's latest job openings for Machine Learning Engineers are filled with proper openings to offer opportunities to advance in technology. These Google jobs are not just about coding; they encompass big problem-solving, collaboration, and innovation at every step. With open positions across a number of teams and specialties, Google provides a platform for engineers to grow and contribute while making a global impact. Whether a fresh graduate or an experienced working professional, Google has a diverse and inclusive environment that offers room for professional development and a sense of belonging to all.
