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Machine Learning Solutions Engineer, Google Cloud Learning Services

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Google

10d ago

  • Job
    Full-time
    Senior Level
  • Data
    IT & Cybersecurity
  • Dublin

AI generated summary

  • You need a Bachelor’s in a relevant field, 5 years coding experience, cloud and ML model expertise, plus preferred qualifications like a Master's, production model experience, and data warehousing knowledge.
  • You will lead ML projects, design AI/ML curriculum, enhance content, collaborate with experts, and support customer engagement in Advanced Solutions Lab initiatives.

Requirements

  • Minimum qualifications:
  • Bachelor’s degree in Computer Science, Mathematics, Machine Learning, or equivalent practical experience.
  • 5 years of coding experience in one or more general purpose languages (e.g., python, Java, or C++).
  • Experience working in a cloud environment (e.g., Google Cloud).
  • Experience building ML models for different use cases such as tabular data, images, video, speech, or unstructured text.
  • Preferred qualifications:
  • Master's degree or PhD in Computer Science, Mathematics, or other quantitative fields.
  • Experience building production ML models with TensorFlow, Keras, Pytorch, JAX, Spark ML, or Scikit Learn.
  • Experience conducting Data and ML technical training or client-facing technical consulting role.
  • Experience working in a fast-moving technology area, while being comfortable working in a dynamic and sometimes ambiguous environment.
  • Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT, and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Hive).

Responsibilities

  • Own the success of each ML Advanced Solutions Lab experience by delivering excellent content, identifying ML experts across Google to support specific sessions and providing ongoing curriculum enhancements.
  • Lead and support customers' Machine Learning projects from project framing to implementation in the Advanced Solutions Lab.
  • Design AI/ML curriculum by understanding market and customers’ needs, and develop materials collaborating with the team and AI/ML experts across Google.
  • Stay abreast of developments in ML and network across the Google Cloud ML research community, to provide ASL participants with up to date knowledge and unique opportunities for highly interactive engagements with other Google ML experts.
  • Act as an ML Subject Matter Expert within the Google Cloud Consulting team and support other ML activities as they arise.

FAQs

What are the minimum qualifications required for the Machine Learning Solutions Engineer position?

The minimum qualifications include a Bachelor’s degree in Computer Science, Mathematics, Machine Learning, or equivalent practical experience, at least 5 years of coding experience in languages such as Python, Java, or C++, experience working in a cloud environment like Google Cloud, and experience building ML models for various use cases.

Are there any preferred qualifications for the position?

Yes, preferred qualifications include a Master’s degree or PhD in Computer Science or related fields, experience with production ML models using frameworks like TensorFlow or PyTorch, experience in conducting technical training or client-facing consulting, and knowledge of data warehousing concepts and tools.

What responsibilities will the Machine Learning Solutions Engineer have?

Responsibilities include owning the success of each ML Advanced Solutions Lab experience, leading customer ML projects, designing AI/ML curriculum, staying updated with ML developments, and acting as an ML Subject Matter Expert within the Google Cloud Consulting team.

Is experience in a specific programming language necessary for the role?

Yes, candidates should have 5 years of coding experience in one or more general-purpose programming languages, such as Python, Java, or C++.

Will I be involved in customer interactions as part of this role?

Yes, you will work directly with customers, helping them apply Machine Learning to their specific business use cases and leading the day-to-day experience in the Advanced Solutions Lab.

Is there room for collaboration with other teams in this role?

Yes, you will have opportunities to collaborate with other machine learning experts across Google and work on research, engineering projects, and customer engagements that make a significant impact.

What is the work environment like for this position?

The work environment is dynamic and sometimes ambiguous, requiring comfort in a fast-moving technology area.

Does the position require knowledge of data warehousing concepts?

Yes, having knowledge of data warehousing concepts, ETL/ELT processes, and analytic tools is preferred for this role.

Are there opportunities for career development in this role?

Yes, as a member of the wider Google machine learning community, you will have opportunities to engage in professional development, collaborate on impactful projects, and stay current with industry developments.

What is Google’s stance on equal employment opportunity?

Google is committed to equal employment opportunity and affirmative action, ensuring that all qualified applicants are considered regardless of various factors such as race, gender, disability, or criminal history, consistent with legal requirements.

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Google

Technology
Industry
10,001+
Employees
1998
Founded Year

Mission & Purpose

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.