Google’s Latest Job Openings for Machine Learning Engineers
Google, a pioneer in innovation and technology, is on the lookout for top talent to execute its mission. Among the numerous careers available, the position of a Machine Learning Engineer is the most focused on developing technology that will shape the future of human interaction and information exchange.
In its pursuit of innovative research and development, Google has become a promised land for those passionate about machine learning or artificial intelligence. We will outline some of Google’s latest job openings for Machine Learning Engineers, highlighting the required qualifications, job roles, and growth opportunities at Google.
Software Engineer, Machine Learning, Google Ads
This role requires a minimum of a Bachelor’s degree or equivalent practical experience, with at least 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript) and 1 year of experience with data structures or algorithms. Preferred qualifications include a 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), and experience in developing accessible technologies.
Software engineers at Google are constantly developing technology on a large scale.
Audio Machine Learning Engineer
The criteria for this job role include a BS degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience, with experience in programming with either C/C++ or Python as well as experience in Machine Learning. Preferred qualifications include an MS degree in Signal Processing, Data Science, or Machine Learning, 3 years of experience in AI/ML algorithms and tools (e.g., TensorFlow), and experience in audio, speech, Machine Learning, DSP, and Embedded Systems.
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.
Program Manager: Machine Learning Data Operations
Preferred qualifications for this role include 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-paced, constantly changing work environment, and 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.
Senior Software Engineer, Machine Learning Google Cloud
Software engineers develop technologies to enable digital transformation across many organizations. Huge-scale information handling, versatile problem-solving, designing and developing software solutions, and contributing are the key role requirements.
Engineers in this 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.
Staff Software Engineer - AI/ML, Google Cloud
Minimum qualifications for this role include a 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, and 2 years of experience with managing people.
Led a team of solution engineers who defined reference architectures for AI/ML platforms on Google Cloud.
Software Engineer, Machine Learning III: Search
Minimum qualifications for this role include a 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, and 2 years of experience working with data structures or algorithms in an academic or industry setting.
Building future generations of information retrieval technology involves large-scale system design.
Conclusion
Google’s latest job openings for Machine Learning Engineers 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.
