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Google Ai Essentials Jobs in Nebraska (NOW HIRING)

Formulate key areas of the ML/AI roadmap, and educate both internal and external stakeholders at ... The Essentials * Masters in Computer Science, Mathematics, Physics, Engineering, Statistics ...

Customers turn to Gopuff to provide their everyday essentials-day and night, rain or shine. We're ... Google G-Suite) -Stand and walk for the duration of an assigned shift -Lift up to 49 pounds ...

Customers turn to Gopuff to provide their everyday essentials-day and night, rain or shine. We're ... Google G-Suite) -Stand and walk for the duration of an assigned shift -Lift up to 49 pounds ...

Customers turn to Gopuff to provide their everyday essentials-day and night, rain or shine. We're ... Google G-Suite) -Stand and walk for the duration of an assigned shift -Lift up to 49 pounds ...

Customers turn to Gopuff to provide their everyday essentials--day and night, rain or shine. We're ... Google G-Suite) -Stand and walk for the duration of an assigned shift -Lift up to 49 pounds ...

Google Ai Essentials information

What is Google AI Essentials?

Google AI Essentials is an online course developed by Google to provide foundational knowledge and practical skills in artificial intelligence (AI). The course is designed for beginners and covers key topics such as machine learning basics, ethical considerations, and how AI is used in real-world applications. It includes hands-on exercises and does not require prior coding experience, making it accessible for a wide range of learners. Upon completion, participants receive a certificate that can help demonstrate their understanding of AI concepts to employers.

What skills and qualifications are needed to work with Google AI Essentials?

To excel with Google AI Essentials, you need a foundational understanding of artificial intelligence concepts, data analysis, and problem-solving, often supported by relevant coursework or certifications. Familiarity with Google Cloud Platform tools, TensorFlow, and basic programming languages like Python is commonly required. Strong communication, curiosity, and adaptability help professionals effectively translate AI insights into actionable business strategies. These competencies enable individuals to implement AI solutions responsibly and drive innovation within their organizations.

What types of projects do employees work on in the Google AI Essentials team, and how does collaboration occur across departments?

In the Google AI Essentials team, employees often work on foundational AI projects that support Google's core products and services, such as developing scalable machine learning models, optimizing data pipelines, and enhancing AI infrastructure. Collaboration is highly cross-functional, with regular interactions between engineers, product managers, researchers, and UX designers to ensure solutions are technically robust and user-centric. Team members frequently participate in code reviews, brainstorming sessions, and sprint planning meetings, fostering a culture of continuous learning and knowledge sharing. This collaborative environment helps team members broaden their expertise and contribute to impactful, high-visibility projects.

What is the difference between Google Ai Essentials vs Data Analyst?

AspectGoogle Ai EssentialsData Analyst
Required CredentialsBasic understanding of AI tools, certifications in Google Cloud or AI fundamentalsDegree in statistics, mathematics, or related field; proficiency in data analysis tools
Work EnvironmentTech companies, AI-focused projects, cloud platformsBusiness intelligence, finance, marketing departments across industries
Employer & Industry UsagePrimarily tech and AI companies using Google Cloud servicesVarious industries analyzing data to inform business decisions
Search & Comparison IntentUnderstanding AI tools and certificationsData analysis skills and career paths

Google Ai Essentials focuses on foundational AI knowledge and Google Cloud certifications, ideal for roles involving AI tools. Data Analysts interpret data to support business decisions, often requiring statistical expertise. While both roles involve data, Google Ai Essentials is more tech and AI tool-oriented, whereas Data Analysts focus on data interpretation across industries.

Can you get a job with a Google Ai Essentials certificate?

A Google AI Essentials certificate can enhance your qualifications for roles involving artificial intelligence, machine learning, and data analysis. While it demonstrates foundational knowledge, employers typically look for additional skills, experience, and relevant tools such as TensorFlow or Python to qualify for AI-related jobs.

What are popular job titles related to Google Ai Essentials jobs in Nebraska?

For Google Ai Essentials jobs in Nebraska, the most frequently searched job titles are:

Infographic showing various Google Ai Essentials job openings in Nebraska as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Principal Data Scientist

Bellevue, NE • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 13 days ago


Job description

Welcome to Warner Bros. Discovery... the stuff dreams are made of.

Who We Are...

When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next...

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Every great story has a new beginning, and yours starts here.

Welcome to Warner Bros. Discovery... the stuff dreams are made of.

Who We Are...

When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next...

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Principal Research Scientist (Recommender Systems)

The Job

The Principal Research Scientist (Recommender systems) will lead large and complex technical projects by developing innovative machine learning algorithms and directing the work of talented Machine Learning (ML) and Artificial Intelligence (AI) researchers and engineers towards building scalable ML solutions for HBO Max. This role will be focused on advancing personalization and recommender systems and search to drive user experience and growth.

The person in the role will partner closely with product, engineering, content, marketing, and research stakeholders across WBD to identify ML opportunities, accelerate AI innovation, and to ensure delivery of impactful solutions for the business.

The Daily

  • Develop innovative data science solutions that utilize machine learning and deep learning algorithms, statistical and quantitative modeling approaches to support product, engineering and marketing initiatives.
  • Be a hands-on leader to mentor the team in the latest machine learning approaches, and to introduce new technologies and processes.
  • Partner with ML engineering leadership to design and develop scalable machine learning systems to accelerate the learning cycle.
  • Identify data science opportunities that deliver business value.
  • Formulate key areas of the ML/AI roadmap, and educate both internal and external stakeholders at all levels to drive implementation and measurement.
  • Provide thought leadership to enable ML/AI applications.
  • Develop and evangelize best practices for scoping, building, validating, deploying, and monitoring ML/AI products.
  • Prepare and present ML modeling results and analytical insights that help drive the business to senior leadership.

The Essentials

  • Masters in Computer Science, Mathematics, Physics, Engineering, Statistics, Operations Research, or other equivalent quantitative fields (PhD preferred)
  • 8 + years of work experience in Machine Learning, AI and Data Science with a proven track record to drive innovation and business impacts
  • Strong experience in Recommender systems, personalization systems, collaborative filtering and information retrieval systems.
  • Strong machine learning, deep learning, and statistical modeling expertise, such as causal inference modeling, ensembles, neural networks, NLP, reinforcement learning and bandits
  • Familiarity and experience with modern large language model based techniques for recommender systems and personalization.
  • Advanced knowledge of SQL and experience with big data platform (AWS, Snowflake, Spark, Google Cloud etc.)
  • Proficiency in machine learning and deep learning languages and platforms (Python, TensorFlow, Keras, PyTorch etc.)
  • Experience in deploying machine learning algorithms and advanced modeling solutions
  • Proven ability to deliver results in a fast-paced, high-energy environment
  • Strong communication skills and the ability to explain complex analysis and algorithms to non-technical audience
  • Works effectively cross functional teams to build trusted partnership
  • Working experience in digital media and entertainment industry preferred

How We Get Things Done...

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.

If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $227,850.00 - $423,150.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.If you're a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.